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Shime N, Nakada TA, Yatabe T, Yamakawa K, Aoki Y, Inoue S, Iba T, Ogura H, Kawai Y, Kawaguchi A, Kawasaki T, Kondo Y, Sakuraya M, Taito S, Doi K, Hashimoto H, Hara Y, Fukuda T, Matsushima A, Egi M, Kushimoto S, Oami T, Kikutani K, Kotani Y, Aikawa G, Aoki M, Akatsuka M, Asai H, Abe T, Amemiya Y, Ishizawa R, Ishihara T, Ishimaru T, Itosu Y, Inoue H, Imahase H, Imura H, Iwasaki N, Ushio N, Uchida M, Uchi M, Umegaki T, Umemura Y, Endo A, Oi M, Ouchi A, Osawa I, Oshima Y, Ota K, Ohno T, Okada Y, Okano H, Ogawa Y, Kashiura M, Kasugai D, Kano KI, Kamidani R, Kawauchi A, Kawakami S, Kawakami D, Kawamura Y, Kandori K, Kishihara Y, Kimura S, Kubo K, Kuribara T, Koami H, Koba S, Sato T, Sato R, Sawada Y, Shida H, Shimada T, Shimizu M, Shimizu K, Shiraishi T, Shinkai T, Tampo A, Sugiura G, Sugimoto K, Sugimoto H, Suhara T, Sekino M, Sonota K, Taito M, Takahashi N, Takeshita J, Takeda C, Tatsuno J, Tanaka A, Tani M, Tanikawa A, Chen H, Tsuchida T, Tsutsumi Y, Tsunemitsu T, Deguchi R, Tetsuhara K, Terayama T, Togami Y, et alShime N, Nakada TA, Yatabe T, Yamakawa K, Aoki Y, Inoue S, Iba T, Ogura H, Kawai Y, Kawaguchi A, Kawasaki T, Kondo Y, Sakuraya M, Taito S, Doi K, Hashimoto H, Hara Y, Fukuda T, Matsushima A, Egi M, Kushimoto S, Oami T, Kikutani K, Kotani Y, Aikawa G, Aoki M, Akatsuka M, Asai H, Abe T, Amemiya Y, Ishizawa R, Ishihara T, Ishimaru T, Itosu Y, Inoue H, Imahase H, Imura H, Iwasaki N, Ushio N, Uchida M, Uchi M, Umegaki T, Umemura Y, Endo A, Oi M, Ouchi A, Osawa I, Oshima Y, Ota K, Ohno T, Okada Y, Okano H, Ogawa Y, Kashiura M, Kasugai D, Kano KI, Kamidani R, Kawauchi A, Kawakami S, Kawakami D, Kawamura Y, Kandori K, Kishihara Y, Kimura S, Kubo K, Kuribara T, Koami H, Koba S, Sato T, Sato R, Sawada Y, Shida H, Shimada T, Shimizu M, Shimizu K, Shiraishi T, Shinkai T, Tampo A, Sugiura G, Sugimoto K, Sugimoto H, Suhara T, Sekino M, Sonota K, Taito M, Takahashi N, Takeshita J, Takeda C, Tatsuno J, Tanaka A, Tani M, Tanikawa A, Chen H, Tsuchida T, Tsutsumi Y, Tsunemitsu T, Deguchi R, Tetsuhara K, Terayama T, Togami Y, Totoki T, Tomoda Y, Nakao S, Nagasawa H, Nakatani Y, Nakanishi N, Nishioka N, Nishikimi M, Noguchi S, Nonami S, Nomura O, Hashimoto K, Hatakeyama J, Hamai Y, Hikone M, Hisamune R, Hirose T, Fuke R, Fujii R, Fujie N, Fujinaga J, Fujinami Y, Fujiwara S, Funakoshi H, Homma K, Makino Y, Matsuura H, Matsuoka A, Matsuoka T, Matsumura Y, Mizuno A, Miyamoto S, Miyoshi Y, Murata S, Murata T, Yakushiji H, Yasuo S, Yamada K, Yamada H, Yamamoto R, Yamamoto R, Yumoto T, Yoshida Y, Yoshihiro S, Yoshimura S, Yoshimura J, Yonekura H, Wakabayashi Y, Wada T, Watanabe S, Ijiri A, Ugata K, Uda S, Onodera R, Takahashi M, Nakajima S, Honda J, Matsumoto T. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2024. J Intensive Care 2025; 13:15. [PMID: 40087807 PMCID: PMC11907869 DOI: 10.1186/s40560-025-00776-0] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Accepted: 01/21/2025] [Indexed: 03/17/2025] Open
Abstract
The 2024 revised edition of the Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock (J-SSCG 2024) is published by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine. This is the fourth revision since the first edition was published in 2012. The purpose of the guidelines is to assist healthcare providers in making appropriate decisions in the treatment of sepsis and septic shock, leading to improved patient outcomes. We aimed to create guidelines that are easy to understand and use for physicians who recognize sepsis and provide initial management, specialized physicians who take over the treatment, and multidisciplinary healthcare providers, including nurses, physical therapists, clinical engineers, and pharmacists. The J-SSCG 2024 covers the following nine areas: diagnosis of sepsis and source control, antimicrobial therapy, initial resuscitation, blood purification, disseminated intravascular coagulation, adjunctive therapy, post-intensive care syndrome, patient and family care, and pediatrics. In these areas, we extracted 78 important clinical issues. The GRADE (Grading of Recommendations Assessment, Development and Evaluation) method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members. As a result, 42 GRADE-based recommendations, 7 good practice statements, and 22 information-to-background questions were created as responses to clinical questions. We also described 12 future research questions.
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Affiliation(s)
- Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
| | - Taka-Aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Tomoaki Yatabe
- Emergency Department, Nishichita General Hospital, Tokai, Japan
| | - Kazuma Yamakawa
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Shigeaki Inoue
- Department of Emergency and Critical Care Medicine, Wakayama Medical University, Wakayama, Japan
| | - Toshiaki Iba
- Department of Emergency and Disaster Medicine, Juntendo University, Tokyo, Japan
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yusuke Kawai
- Department of Nursing, Fujita Health University Hospital, Toyoake, Japan
| | - Atsushi Kawaguchi
- Division of Pediatric Critical Care, Department of Pediatrics, School of Medicine, St. Marianna University, Kawasaki, Japan
| | - Tatsuya Kawasaki
- Department of Pediatric Critical Care, Shizuoka Children's Hospital, Shizuoka, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University, Urayasu Hospital, Urayasu, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima, Japan
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan
| | - Hideki Hashimoto
- Department of Infectious Diseases, Hitachi Medical Education and Research Center University of Tsukuba Hospital, Hitachi, Japan
| | - Yoshitaka Hara
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Toranomon Hospital, Tokyo, Japan
| | - Asako Matsushima
- Department of Emergency and Critical Care, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Moritoki Egi
- Department of Anesthesia and Intensive Care, Kyoto University Hospital, Kyoto, Japan
| | - Shigeki Kushimoto
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takehiko Oami
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Kazuya Kikutani
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Yuki Kotani
- Department of Intensive Care Medicine Kameda Medical Center, Kamogawa, Japan
| | - Gen Aikawa
- Department of Adult Health Nursing, College of Nursing, Ibaraki Christian University, Hitachi, Japan
| | - Makoto Aoki
- Division of Traumatology, National Defense Medical College Research Institute, Tokorozawa, Japan
| | - Masayuki Akatsuka
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hideki Asai
- Department of Emergency and Critical Care Medicine, Nara Medical University, Nara, Japan
| | - Toshikazu Abe
- Department of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan
| | - Yu Amemiya
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Ryo Ishizawa
- Department of Critical Care and Emergency Medicine, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Juntendo University, Urayasu Hospital, Urayasu, Japan
| | - Tadayoshi Ishimaru
- Department of Emergency Medicine, Chiba Kaihin Municipal Hospital, Chiba, Japan
| | - Yusuke Itosu
- Department of Anesthesiology, Hokkaido University Hospital, Sapporo, Japan
| | - Hiroyasu Inoue
- Division of Physical Therapy, Department of Rehabilitation, Showa University School of Nursing and Rehabilitation Sciences, Yokohama, Japan
| | - Hisashi Imahase
- Division of Intensive Care, Department of Anesthesiology and Intensive Care Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Haruki Imura
- Department of Infectious Diseases, Rakuwakai Otowa Hospital, Kyoto, Japan
| | - Naoya Iwasaki
- Department of Anesthesiology and Intensive Care Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Noritaka Ushio
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Masatoshi Uchida
- Department of Emergency and Critical Care Medicine, Dokkyo Medical University, Tochigi, Japan
| | - Michiko Uchi
- National Hospital Organization Ibarakihigashi National Hospital, Naka-Gun, Japan
| | - Takeshi Umegaki
- Department of Anesthesiology, Kansai Medical University, Hirakata, Japan
| | - Yutaka Umemura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | - Akira Endo
- Department of Acute Critical Care Medicine, Tsuchiura Kyodo General Hospital, Tsuchiura, Japan
| | - Marina Oi
- Department of Emergency and Critical Care Medicine, Kitasato University School of Medicine, Sagamihara, Japan
| | - Akira Ouchi
- Department of Adult Health Nursing, College of Nursing, Ibaraki Christian University, Hitachi, Japan
| | - Itsuki Osawa
- Department of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Kohei Ota
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Takanori Ohno
- Department of Emergency and Crical Care Medicine, Shin-Yurigaoka General Hospital, Kawasaki, Japan
| | - Yohei Okada
- Department of Preventive Services, Kyoto University, Kyoto, Japan
| | - Hiromu Okano
- Department of Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Yoshihito Ogawa
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | - Masahiro Kashiura
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Daisuke Kasugai
- Department of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ken-Ichi Kano
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Ryo Kamidani
- Department of Emergency and Disaster Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Akira Kawauchi
- Department of Critical Care and Emergency Medicine, Japanese Red Cross Maebashi Hospital, Maebashi, Japan
| | - Sadatoshi Kawakami
- Department of Anesthesiology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Daisuke Kawakami
- Department of Intensive Care Medicine, Aso Iizuka Hospital, Iizuka, Japan
| | - Yusuke Kawamura
- Department of Rehabilitation, Showa General Hospital, Tokyo, Japan
| | - Kenji Kandori
- Department of Emergency and Critical Care Medicine, Japanese Red Cross Society Kyoto Daini Hospital , Kyoto, Japan
| | - Yuki Kishihara
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Sho Kimura
- Department of Pediatric Critical Care Medicine, Tokyo Women's Medical University Yachiyo Medical Center, Yachiyo, Japan
| | - Kenji Kubo
- Department of Emergency Medicine, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan
- Department of Infectious Diseases, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan
| | - Tomoki Kuribara
- Department of Acute and Critical Care Nursing, School of Nursing, Sapporo City University, Sapporo, Japan
| | - Hiroyuki Koami
- Department of Emergency and Critical Care Medicine, Saga University, Saga, Japan
| | - Shigeru Koba
- Department of Critical Care Medicine, Nerima Hikarigaoka Hospital, Nerima, Japan
| | - Takehito Sato
- Department of Anesthesiology, Nagoya University Hospital, Nagoya, Japan
| | - Ren Sato
- Department of Nursing, Tokyo Medical University Hospital, Shinjuku, Japan
| | - Yusuke Sawada
- Department of Emergency Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Haruka Shida
- Data Science, Medical Division, AstraZeneca K.K, Osaka, Japan
| | - Tadanaga Shimada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Motohiro Shimizu
- Department of Intensive Care Medicine, Ryokusen-Kai Yonemori Hospital, Kagoshima, Japan
| | | | | | - Toru Shinkai
- The Advanced Emergency and Critical Care Center, Mie University Hospital, Tsu, Japan
| | - Akihito Tampo
- Department of Emergency Medicine, Asahiakwa Medical University, Asahikawa, Japan
| | - Gaku Sugiura
- Department of Critical Care and Emergency Medicine, Japanese Red Cross Maebashi Hospital, Maebashi, Japan
| | - Kensuke Sugimoto
- Department of Anesthesiology and Intensive Care, Gunma University, Maebashi, Japan
| | - Hiroshi Sugimoto
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Osaka, Japan
| | - Tomohiro Suhara
- Department of Anesthesiology, Keio University School of Medicine, Shinjuku, Japan
| | - Motohiro Sekino
- Department of Anesthesiology and Intensive Care Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kenji Sonota
- Department of Intensive Care Medicine, Miyagi Children's Hospital, Sendai, Japan
| | - Mahoko Taito
- Department of Nursing, Hiroshima University Hospital, Hiroshima, Japan
| | - Nozomi Takahashi
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Chikashi Takeda
- Department of Anesthesia and Intensive Care, Kyoto University Hospital, Kyoto, Japan
| | - Junko Tatsuno
- Department of Nursing, Kokura Memorial Hospital, Kitakyushu, Japan
| | - Aiko Tanaka
- Department of Intensive Care, University of Fukui Hospital, Fukui, Japan
| | - Masanori Tani
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Atsushi Tanikawa
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hao Chen
- Department of Pulmonary, Yokohama City University Hospital, Yokohama, Japan
| | - Takumi Tsuchida
- Department of Anesthesiology, Hokkaido University Hospital, Sapporo, Japan
| | - Yusuke Tsutsumi
- Department of Emergency Medicine, National Hospital Organization Mito Medical Center, Ibaragi, Japan
| | | | - Ryo Deguchi
- Department of Traumatology and Critical Care Medicine, Osaka Metropolitan University Hospital, Osaka, Japan
| | - Kenichi Tetsuhara
- Department of Critical Care Medicine, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Takero Terayama
- Department of Emergency Self-Defense, Forces Central Hospital, Tokyo, Japan
| | - Yuki Togami
- Department of Acute Medicine & Critical Care Medical Center, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Takaaki Totoki
- Department of Anesthesiology, Kyushu University Beppu Hospital, Beppu, Japan
| | - Yoshinori Tomoda
- Laboratory of Clinical Pharmacokinetics, Research and Education Center for Clinical Pharmacy, Kitasato University School of Pharmacy, Tokyo, Japan
| | - Shunichiro Nakao
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hiroki Nagasawa
- Department of Acute Critical Care Medicine, Shizuoka Hospital Juntendo University, Shizuoka, Japan
| | | | - Nobuto Nakanishi
- Department of Disaster and Emergency Medicine, Kobe University, Kobe, Japan
| | - Norihiro Nishioka
- Department of Emergency and Crical Care Medicine, Shin-Yurigaoka General Hospital, Kawasaki, Japan
| | - Mitsuaki Nishikimi
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Satoko Noguchi
- Department of Anesthesiology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Suguru Nonami
- Department of Emergency and Critical Care Medicine, Kyoto Katsura Hospital, Kyoto, Japan
| | - Osamu Nomura
- Medical Education Development Center, Gifu University, Gifu, Japan
| | - Katsuhiko Hashimoto
- Department of Emergency and Intensive Care Medicine, Fukushima Medical University, Fukushima, Japan
| | - Junji Hatakeyama
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Yasutaka Hamai
- Department of Preventive Services, Kyoto University, Kyoto, Japan
| | - Mayu Hikone
- Department of Emergency Medicine, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan
| | - Ryo Hisamune
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Tomoya Hirose
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Ryota Fuke
- Department of Internal Medicine, IMS Meirikai Sendai General Hospital, Sendai, Japan
| | - Ryo Fujii
- Emergency Department, Ageo Central General Hospital, Ageo, Japan
| | - Naoki Fujie
- Department of Pharmacy, Osaka Psychiatric Medical Center, Hirakata, Japan
| | - Jun Fujinaga
- Emergency and Critical Care Center, Kurashiki Central Hospital, Kurashiki, Japan
| | - Yoshihisa Fujinami
- Department of Emergency Medicine, Kakogawa Central City Hospital, Kakogawa, Japan
| | - Sho Fujiwara
- Department of Emergency Medicine, Tokyo Hikifune Hospital, Tokyo, Japan
- Department of Infectious Diseases, Tokyo Hikifune Hospital, Tokyo, Japan
| | - Hiraku Funakoshi
- Department of Emergency and Critical Care Medicine, Tokyobay Urayasu Ichikawa Medical Center, Urayasu, Japan
| | - Koichiro Homma
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Shinjuku, Japan
| | - Yuto Makino
- Department of Preventive Services, Kyoto University, Kyoto, Japan
| | - Hiroshi Matsuura
- Osaka Prefectural Nakakawachi Emergency and Critical Care Center, Higashiosaka, Japan
| | - Ayaka Matsuoka
- Department of Emergency and Critical Care Medicine, Saga University, Saga, Japan
| | - Tadashi Matsuoka
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Shinjuku, Japan
| | - Yosuke Matsumura
- Department of Intensive Care, Chiba Emergency and Psychiatric Medical Center, Chiba, Japan
| | - Akito Mizuno
- Department of Anesthesia and Intensive Care, Kyoto University Hospital, Kyoto, Japan
| | - Sohma Miyamoto
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Chuo-Ku, Japan
| | - Yukari Miyoshi
- Department of Emergency and Critical Care Medicine, Juntendo University, Urayasu Hospital, Urayasu, Japan
| | - Satoshi Murata
- Division of Emergency Medicine, Hyogo Prefectural Kobe Children's Hospital, Kobe, Japan
| | - Teppei Murata
- Department of Cardiology Miyazaki Prefectural, Nobeoka Hospital, Nobeoka, Japan
| | | | | | - Kohei Yamada
- Department of Traumatology and Critical Care Medicine, National Defense Medical College Hospital, Saitama, Japan
| | - Hiroyuki Yamada
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryo Yamamoto
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Shinjuku, Japan
| | - Ryohei Yamamoto
- Center for Innovative Research for Communities and Clinical Excellence (CIRC2LE), Fukushima Medical University, Fukushima, Japan
| | - Tetsuya Yumoto
- Department of Emergency, Critical Care and Disaster Medicine, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Yuji Yoshida
- Department of Anesthesia and Intensive Care, Kyoto University Hospital, Kyoto, Japan
| | - Shodai Yoshihiro
- Department of Pharmaceutical Services, Hiroshima University Hospital, Hiroshima, Japan
| | - Satoshi Yoshimura
- Department of Emergency Medicine, Rakuwakai Otowa Hospital, Kyoto, Japan
| | - Jumpei Yoshimura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hiroshi Yonekura
- Department of Anesthesiology and Pain Medicine, Fujita Health University Bantane Hospital, Nagoya, Japan
| | - Yuki Wakabayashi
- Department of Nursing, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Takeshi Wada
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shinichi Watanabe
- Department of Physical Therapy, Faculty of Rehabilitation Gifu, University of Health Science, Gifu, Japan
| | - Atsuhiro Ijiri
- Department of Traumatology and Critical Care Medicine, National Defense Medical College Hospital, Saitama, Japan
| | - Kei Ugata
- Department of Intensive Care Medicine, Matsue Red Cross Hospital, Matsue, Japan
| | - Shuji Uda
- Department of Anesthesia and Intensive Care, Kyoto University Hospital, Kyoto, Japan
| | - Ryuta Onodera
- Department of Preventive Services, Kyoto University, Kyoto, Japan
| | - Masaki Takahashi
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Satoshi Nakajima
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Junta Honda
- Department of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tsuguhiro Matsumoto
- Department of Anesthesia and Intensive Care, Kyoto University Hospital, Kyoto, Japan
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Smeets TJL, Boly CA, Papadopoulos J, Endeman H, Hunfeld NGM. What every intensivist should know about augmented renal clearance (ARC). J Crit Care 2024; 84:154541. [PMID: 39266074 DOI: 10.1016/j.jcrc.2024.154541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/26/2023] [Accepted: 12/09/2023] [Indexed: 09/14/2024]
Affiliation(s)
- Tim J L Smeets
- Department of Hospital Pharmacy, Erasmus MC University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - Chantal A Boly
- Department of Intensive Care Adults, Erasmus MC University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | | | - Henrik Endeman
- Department of Intensive Care Adults, Erasmus MC University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Nicole G M Hunfeld
- Department of Hospital Pharmacy, Erasmus MC University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands; Department of Intensive Care Adults, Erasmus MC University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
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Liu C, Zhu X, Guo X, Wang Y, Bai Y, Wang H. Comparative analysis of two-hour creatinine clearance and the C-G formula for renal function assessment in critically ill patients. Heliyon 2024; 10:e31500. [PMID: 38818190 PMCID: PMC11137534 DOI: 10.1016/j.heliyon.2024.e31500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 06/01/2024] Open
Abstract
Objective and rationale To investigate if the 2-h creatinine clearance (Ccr2) provides a more precise and timely assessment of renal function in critically ill patients compared to the Cockcroft-Gault formula (CrC-G). Materials and methods This cohort study incorporated 74 patients who were hospitalized for more than 48 h in the Intensive Care Unit over 6 months. A 24-h urine collection protocol was observed, and concurrently, 316 2-h urine specimens were obtained. Then calculated and analyzed the correlation and consistency between Ccr2, CrC-G, and 24-h creatinine clearance (Ccr24) values. The rates of change in Ccr2(ΔCcr2) and CrC-G(ΔCrC-G) were compared over two consecutive samples. Results The R-values of Ccr2 and Ccr24 in the early, middle and late 24 h were 0.640, 0.886 and 0.854 (P < 0.001), with biases of -2.1, 1.7, and 6.3 ml/min/1.73 m2, respectively. Meanwhile, the R-values for CrC-G and Ccr24 at these time points were 0.618, 0.822, and 0.828(P < 0.001), with biases of -14.0, -5.2, and -1.8 ml/min/1.73 m2, respectively. For patients with Ccr24≥60 ml/min/1.73 m2, the R-value of Ccr2 and Ccr24 during the middle 2 h was 0.852(P < 0.001), while the R-values for CrC-G and Ccr24 were 0.763(P < 0.001), with biases of -2.3 ml/min/1.73 m2 and -14.2 ml/min/1.73 m2 respectively. For the group with Ccr24 ≥ 120 ml/min/1.73 m2 (n = 72), both Ccr2 and Ccr24 displayed a statistically significant elevation compared to CrC-G (P < 0.001), yet no significant difference was observed between Ccr2 and Ccr24 (P = 0.289). Out of 50 patients, 46(92 %) experienced a ΔCcr2≥20 % at least once, compared to 20(40 %) with a ΔCrC-G≥20 %(P < 0.001). 25(50 %) with a ΔCcr2≥50 %, compared to 3(6 %) with a ΔCrC-G≥50 %(P < 0.001). Conclusion Ccr2 demonstrates a more accurate and more timely indicator of renal function in critically ill patients than CrC-G.
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Affiliation(s)
- Congyou Liu
- Department of Intensive Care Unit, Beijing Jishuitan Hospital, Capital Medical University, 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China
| | - Xingyun Zhu
- Department of Endocrinology and Metabolism, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Xinzhu Guo
- Department of Intensive Care Unit, Beijing Jishuitan Hospital, Capital Medical University, 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China
| | - Yingyan Wang
- Department of Intensive Care Unit, Beijing Jishuitan Hospital, Capital Medical University, 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China
| | - Ying Bai
- Department of Intensive Care Unit, Beijing Jishuitan Hospital, Capital Medical University, 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China
| | - Hao Wang
- Department of Intensive Care Unit, Beijing Jishuitan Hospital, Capital Medical University, 31 East Xinjiekou Street, Xicheng District, Beijing, 100035, China
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4
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Hill DM, Yang B, Laizure SC, Boucher B, Swanson JM, Wood GC, Hickerson WL, Liu X, Velamuri SR. Pharmacokinetic Analysis of Intravenous Push Cefepime in Burn Patients with Augmented Renal Clearance. J Burn Care Res 2024; 45:151-157. [PMID: 37688528 DOI: 10.1093/jbcr/irad134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Indexed: 09/11/2023]
Abstract
Patients with augmented renal clearance (ARC) are a subset of critically ill patients including burn patients that exhibit increased renal elimination of medications beyond that of similarly injured patients. Currently approved maximum regimens of medications primarily eliminated by the kidney, such as cefepime (>90% unchanged in the urine), may be inadequate (eg, compromising the bactericidal activity of cefepime) in patients with ARC. Due to recent resource limitations, centers have changed infusion practices of commonly prescribed medications to intravenous push (IVP), potentially exacerbating the problem of maintaining bactericidal cefepime concentrations. The hypothesis of the study was patients with ARC are not currently achieving adequate target attainment, when receiving cefepime 2 g every 8 h IVP. Eight blood samples were collected from each patient, and concentrations measured via LC-MS/MS. WinNonlin (version 8.3) was used to estimate the pharmacokinetic parameters of cefepime and simulate plasma concentrations of cefepime in each of the ten subjects. Simulations of cefepime plasma concentrations produced by a 2 g dose given every 8 h and a 1 g dose given every 4 h were performed and the time above a MIC of 4 mg/L, 8 mg/L, and 16 mg/L compared. The 2 g every 8 h regimen remained above the breakpoints for 92%, 85%, and 71% of the dosing interval, respectively. The 1 g every 4 h regimen remained above the same breakpoints at a frequency of 100%, 99%, and 92% of the dosing interval. Giving cefepime 1 g every 4 h is a simple approach to increase the likelihood of maintaining the optimal bactericidal activity of cefepime in patients with ARC.
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Affiliation(s)
- David M Hill
- Department of Pharmacy, Regional One Health, 877 Jefferson Avenue, Memphis, TN 38103, USA
| | - Bing Yang
- Department of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, 881 Madison Avenue, Memphis, TN 38163, USA
| | - S Casey Laizure
- Department of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, 881 Madison Avenue, Memphis, TN 38163, USA
| | - Bradley Boucher
- Department of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, 881 Madison Avenue, Memphis, TN 38163, USA
| | - Joseph M Swanson
- Department of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, 881 Madison Avenue, Memphis, TN 38163, USA
| | - G Christopher Wood
- Department of Clinical Pharmacy and Translational Science, College of Pharmacy, University of Tennessee Health Science Center, 881 Madison Avenue, Memphis, TN 38163, USA
| | | | - Xiangxia Liu
- Department of Surgery, College of Medicine, University of Tennessee Health Science Center, 910 Madison Ave, Memphis, TN 38163, USA
| | - Sai R Velamuri
- Department of Surgery, College of Medicine, University of Tennessee Health Science Center, 910 Madison Ave, Memphis, TN 38163, USA
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5
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Mueller SW, Blass B, Molina KC, Gibson C, Krsak M, Kohler AD, Deeter L, Stalilonis J, Wiktor AJ. Augmented Renal Function in Burn Patients: Occurrence and Discordance With Commonly Used Methods to Assess Renal Function. J Burn Care Res 2023; 44:1298-1303. [PMID: 37450897 PMCID: PMC11491612 DOI: 10.1093/jbcr/irad107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Indexed: 07/18/2023]
Abstract
Augmented renal clearance (ARC) is defined by supraphysiologic renal function and is associated with drug failure due to subtherapeutic drug exposure. Burn patients are cited as being at high risk for ARC, yet rates of ARC have not been well described. This retrospective study described the prevalence and incidence of ARC, and compared 12-hour urine collection values (CrCl-12) vs. common estimates of renal function in assessed patients at an American Burn Association-verified burn center. All thermally injured burn patients with a CrCl-12 result were included. ARC was defined as a CrCl-12 >130 ml/min. Cockcroft-Gault, modification of diet in renal disease (MDRD), and CKD-EPI-2021 estimates were calculated. Over 13 months, 163 CrCl-12 results were collected in 68 patients at a median of 9 days from admission with an average value of 160 ml/min. The median total body surface area (total body surface area [TBSA]%) was 17.25%. ARC prevalence was 70.6% with an incidence of 66.3% in all CrCl-12 assessments. Those with ARC were less likely to have heart failure, P = .007. Age, TBSA%, and trauma were not different between those with or without ARC. ARC incidences in those with TBSAs of ≥20%, <20%, or <10%, were 70.5%, 58.6%, and 76.7%, respectively. Agreement of Cockcroft-Gault, MDRD, and CKD-EPI-2021 to CrCl-12 was moderate to weak and frequently failed to identify ARC. ARC is common in burn patients, regardless of TBSA%. Widely accepted estimations of renal function may be incorrect resulting in under-dosing of medications. Additional research is required to identify burn patients at greatest risk for ARC and subsequent dosing strategies to maintain pharmacologic efficacy without unduetoxicity.
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Affiliation(s)
- Scott W Mueller
- Department of Pharmacy, University of Colorado Hospital, Aurora, Colorado, USA
| | - Brittany Blass
- Division of GI, Trauma/Burns, and Endocrine Surgery (GITES), Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kyle C Molina
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Cameron Gibson
- Division of GI, Trauma/Burns, and Endocrine Surgery (GITES), Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Martin Krsak
- Division of Medicine, Department of Infectious Diseases, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Amber D Kohler
- Division of GI, Trauma/Burns, and Endocrine Surgery (GITES), Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Lyndsay Deeter
- Division of GI, Trauma/Burns, and Endocrine Surgery (GITES), Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Jennifer Stalilonis
- Division of GI, Trauma/Burns, and Endocrine Surgery (GITES), Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Arek J Wiktor
- Division of GI, Trauma/Burns, and Endocrine Surgery (GITES), Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado, USA
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6
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Cucci MD, Gerlach AT, Mangira C, Murphy CV, Roberts JA, Udy AA, Dowling TC, Mullen CL. Performance of different body weights in the Cockcroft-Gault equation in critically ill patients with and without augmented renal clearance: A multicenter cohort. Pharmacotherapy 2023; 43:1131-1138. [PMID: 36373197 PMCID: PMC10947228 DOI: 10.1002/phar.2743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 08/29/2022] [Accepted: 09/14/2022] [Indexed: 11/18/2023]
Abstract
STUDY OBJECTIVE The primary objective was to evaluate the performance of the Cockcroft-Gault (CG) equation with different body weights (BWs) compared to a measured creatinine clearance (mCrCl) in an intensive care unit (ICU) population with and without augmented renal clearance (ARC). DESIGN Multicenter, retrospective cohort. SETTING Two ICUs in the United States and four ICUs from a previous international observational analysis. PATIENTS Adult ICU patients admitted from January 1, 2010 to July 30, 2020 with at least one mCrCl collected within the initial 10 days of hospitalization were eligible for inclusion. MEASUREMENTS AND MAIN RESULTS The primary outcome was the performance of the CG equation in ARC (mCrCl≥130 ml/min/1.73 m2 ) and non-ARC (mCrCl<130 ml/min/1.73 m2 ) patients. Correlation was analyzed by Pearson's correlation coefficient, bias by mean difference, and accuracy by the percentage of patients within 30% of the mCrCl. A total of 383 patients were included, which provided 1708 mCrCl values. The majority were male (n = 239, 62%), median age of 55 years [IQR 40-65] with a surgical diagnosis (n = 239, 77%). ARC was identified in 229 (60%) patients. The ARC group had lower Scr values (0.6 [0.5-0.7] vs. 0.7 [0.6-0.9] mg/dl, p < 0.001) and higher mCrCl (172.8 (SD 39.1) vs. 89.9 mL/min/1.73 m2 (SD 25.4), p < 0.001) compared with the non-ARC group, respectively. Among non-ARC patients there was a moderate correlation (r = 0.33-0.39), moderate accuracy (range 48-58%), and low bias (range of -12.9 to 17.1) among the different BW estimations with the adjusted BW having the better performance. Among ARC patients there was low correlation (r = 0.24-0.28), low to moderate accuracy (range 38-70%), and high bias (range of -58.5 to -21.6). CONCLUSIONS The CG-adjusted BW had the best performance in the non-ARC patients, while CG performed poorly with any BW in ARC patients. Although the CG equation remains the standard equation for estimating CrCl in the ICU setting, a new, validated equation is needed for patients with ARC.
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Affiliation(s)
| | - Anthony T. Gerlach
- Critical CareThe Ohio State University Wexner Medical CenterColumbusOhioUSA
| | | | - Claire V. Murphy
- Critical CareThe Ohio State University Wexner Medical CenterColumbusOhioUSA
| | | | - Andrew A. Udy
- Department of Intensive Care & Hyperbaric MedicineAlfred HealthMelbourneVictoriaAustralia
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Huang CY, Güiza F, Wouters P, Mebis L, Carra G, Gunst J, Meersseman P, Casaer M, Van den Berghe G, De Vlieger G, Meyfroidt G. Development and validation of the creatinine clearance predictor machine learning models in critically ill adults. Crit Care 2023; 27:272. [PMID: 37415234 PMCID: PMC10327364 DOI: 10.1186/s13054-023-04553-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND In critically ill patients, measured creatinine clearance (CrCl) is the most reliable method to evaluate glomerular filtration rate in routine clinical practice and may vary subsequently on a day-to-day basis. We developed and externally validated models to predict CrCl one day ahead and compared them with a reference reflecting current clinical practice. METHODS A gradient boosting method (GBM) machine-learning algorithm was used to develop the models on data from 2825 patients from the EPaNIC multicenter randomized controlled trial database. We externally validated the models on 9576 patients from the University Hospitals Leuven, included in the M@tric database. Three models were developed: a "Core" model based on demographic, admission diagnosis, and daily laboratory results; a "Core + BGA" model adding blood gas analysis results; and a "Core + BGA + Monitoring" model also including high-resolution monitoring data. Model performance was evaluated against the actual CrCl by mean absolute error (MAE) and root-mean-square error (RMSE). RESULTS All three developed models showed smaller prediction errors than the reference. Assuming the same CrCl of the day of prediction showed 20.6 (95% CI 20.3-20.9) ml/min MAE and 40.1 (95% CI 37.9-42.3) ml/min RMSE in the external validation cohort, while the developed model having the smallest RMSE (the Core + BGA + Monitoring model) had 18.1 (95% CI 17.9-18.3) ml/min MAE and 28.9 (95% CI 28-29.7) ml/min RMSE. CONCLUSIONS Prediction models based on routinely collected clinical data in the ICU were able to accurately predict next-day CrCl. These models could be useful for hydrophilic drug dosage adjustment or stratification of patients at risk. TRIAL REGISTRATION Not applicable.
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Affiliation(s)
- Chao-Yuan Huang
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Fabian Güiza
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Pieter Wouters
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Liese Mebis
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Giorgia Carra
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jan Gunst
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Philippe Meersseman
- Department of General Internal Medicine, Medical Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
| | - Michael Casaer
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Greet Van den Berghe
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Greet De Vlieger
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Geert Meyfroidt
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium.
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8
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Le TA, Hiba T, Chaudhari D, Preston AN, Palowsky ZR, Ahmadzadeh S, Shekoohi S, Cornett EM, Kaye AD. Aminoglycoside-Related Nephrotoxicity and Ototoxicity in Clinical Practice: A Review of Pathophysiological Mechanism and Treatment Options. Adv Ther 2023; 40:1357-1365. [PMID: 36738370 DOI: 10.1007/s12325-023-02436-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 01/17/2023] [Indexed: 02/05/2023]
Abstract
Aminoglycosides are a class of medications used to treat certain bacterial infections, specifically gram-negative aerobes. These drugs can be used alone as first-line treatments or in combination with other medications. There can be many different formulations of aminoglycosides including oral, inhalants, intravascular, intramuscular, or intraventricular. There are many distinctive types of aminoglycosides, and although they provide excellent coverage, they can have a wide variety of side effects. The most prevalent side effects of aminoglycosides are nephrotoxicity and ototoxicity. Aminoglycoside-induced nephrotoxicity is concerning because of the effects that abnormal creatinine levels can have on other drugs and the potential for neurotoxicity. Fortunately, changes in renal function are typically reversible. The kidney is affected by the drug's ability to enter the proximal tubule and cause a buildup of phospholipids in the lysosomes, inhibiting their function. Exposure to aminoglycosides in utero can result in permanent ototoxicity. The mechanism of ototoxicity is through the drug's ability to freely pass into hair cells and cause reactive oxygen species to damage the mitochondria, resulting in cell death. There is not a substantial amount of research regarding the prevention and treatment of adverse effects of aminoglycosides. Future research on the mediation or modulation of these pathophysiological processes would expand their usage in modern medicine.
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Affiliation(s)
- Tyler A Le
- American University of the Caribbean, 1 University Drive at, Jordan Dr, Cupecoy, Sint Maarten
| | - Tasneem Hiba
- American University of the Caribbean, 1 University Drive at, Jordan Dr, Cupecoy, Sint Maarten
| | - Disha Chaudhari
- American University of the Caribbean, 1 University Drive at, Jordan Dr, Cupecoy, Sint Maarten
| | - Arielle N Preston
- American University of the Caribbean, 1 University Drive at, Jordan Dr, Cupecoy, Sint Maarten
| | - Zachary R Palowsky
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA, 71103, USA
| | - Shahab Ahmadzadeh
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA, 71103, USA
| | - Sahar Shekoohi
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA, 71103, USA
| | - Elyse M Cornett
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA, 71103, USA.
| | - Alan D Kaye
- Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA, 71103, USA
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9
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Novy E, Martinière H, Roger C. The Current Status and Future Perspectives of Beta-Lactam Therapeutic Drug Monitoring in Critically Ill Patients. Antibiotics (Basel) 2023; 12:antibiotics12040681. [PMID: 37107043 PMCID: PMC10135361 DOI: 10.3390/antibiotics12040681] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Beta-lactams (BL) are the first line agents for the antibiotic management of critically ill patients with sepsis or septic shock. BL are hydrophilic antibiotics particularly subject to unpredictable concentrations in the context of critical illness because of pharmacokinetic (PK) and pharmacodynamics (PD) alterations. Thus, during the last decade, the literature focusing on the interest of BL therapeutic drug monitoring (TDM) in the intensive care unit (ICU) setting has been exponential. Moreover, recent guidelines strongly encourage to optimize BL therapy using a PK/PD approach with TDM. Unfortunately, several barriers exist regarding TDM access and interpretation. Consequently, adherence to routine TDM in ICU remains quite low. Lastly, recent clinical studies failed to demonstrate any improvement in mortality with the use of TDM in ICU patients. This review will first aim at explaining the value and complexity of the TDM process when translating it to critically ill patient bedside management, interpretating the results of clinical studies and discussion of the points which need to be addressed before conducting further TDM studies on clinical outcomes. In a second time, this review will focus on the future aspects of TDM integrating toxicodynamics, model informed precision dosing (MIPD) and “at risk” ICU populations that deserve further investigations to demonstrate positive clinical outcomes.
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Affiliation(s)
- Emmanuel Novy
- Department of Anesthesiology and Critical Care Medicine, Institut Lorrain du Coeur Et Des Vaisseaux, University Hospital of Nancy, Rue du Morvan, 54511 Vandoeuvre-les Nancy, France
- SIMPA, UR 7300, Faculté de Médecine, Maïeutique et Métiers de la Santé, Campus Brabois Santé, University of Lorraine, 54000 Nancy, France
| | - Hugo Martinière
- Department of Anesthesiology and Intensive Care, Pain and Emergency Medicine, Nimes-Caremeau University Hospital, Place du Professeur Robert Debré, CEDEX 09, 30029 Nimes, France
| | - Claire Roger
- Department of Anesthesiology and Intensive Care, Pain and Emergency Medicine, Nimes-Caremeau University Hospital, Place du Professeur Robert Debré, CEDEX 09, 30029 Nimes, France
- UR UM 103 IMAGINE, Faculty of Medicine, Montpellier University, 30029 Nimes, France
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10
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John G, Heffner E, Carter T, Beckham R, Smith N. Augmented Renal Clearance in Patients with Acute Ischemic Stroke: A Prospective Observational Study. Neurocrit Care 2023; 38:35-40. [PMID: 35918629 PMCID: PMC9345739 DOI: 10.1007/s12028-022-01569-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 06/27/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Augmented renal clearance (ARC) is a phenomenon that has been demonstrated in many subsets of critically ill patients and is characterized by a creatinine clearance (CrCl) > 130 mL/min. Prior research has examined ARC prevalence in the presence of sepsis, traumatic brain injury, subarachnoid hemorrhage, and intracranial hemorrhage. However, to our knowledge, no studies have examined whether this phenomenon occurs in patients suffering from an acute ischemic stroke (AIS). The objective of this study was to evaluate whether patients experiencing an AIS exhibit ARC, identify potential contributing factors, and examine the precision of current renal clearance estimation methods in patients with AIS experiencing ARC. METHODS This was a single-center prospective observational study conducted in adult patients admitted to a neurocritical intensive care unit (ICU) at a community hospital. Once consent was gained, patients with an admitting diagnosis of an AIS underwent a 24-h urine collection to assess measured CrCl. The primary end point assessed for ARC, defined as a measured CrCl > 130 mL/min. The secondary end point evaluated length of stay in the neurocritical ICU. RESULTS Twenty-eight patients met enrollment criteria, and data was analyzed for 20 patients. ARC was present in 35% of enrolled patients. Mathematical estimations of renal function were inadequate in detecting ARC manifestation. Patients experiencing ARC were associated with nonsignificantly shorter ICU length of stay. CONCLUSIONS ARC appears to manifest in patients with AIS inconsistently. Patients experiencing ARC were associated with nonsignificantly shorter ICU length of stay.
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Affiliation(s)
- Grace John
- CHRISTUS Mother Frances Hospital - Tyler, 800 E. Dawson St., Tyler, TX, 75701, USA.
| | - Erika Heffner
- grid.417305.4CHRISTUS Mother Frances Hospital - Tyler, 800 E. Dawson St., Tyler, TX 75701 USA
| | - Tracy Carter
- grid.417305.4CHRISTUS Mother Frances Hospital - Tyler, 800 E. Dawson St., Tyler, TX 75701 USA
| | - Regan Beckham
- grid.267327.50000 0001 0626 4654Department of Mathematics, The University of Texas at Tyler, Tyler, TX USA
| | - Nathan Smith
- grid.267327.50000 0001 0626 4654Department of Mathematics, The University of Texas at Tyler, Tyler, TX USA
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Prevalence and Risk Factors of Venous Thromboembolism in Critically Ill Patients with Severe COVID-19 and the Association between the Dose of Anticoagulants and Outcomes. J Crit Care Med (Targu Mures) 2022; 8:249-258. [DOI: 10.2478/jccm-2022-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
COVID-19 is characterized by a procoagulant state that increases the risk of venous and arterial thrombosis. The dose of anticoagulants in patients with severe COVID-19 pneumonia without suspected or confirmed thrombosis has been debated.
Aim of the study
We evaluated the prevalence, predictors, and outcomes of venous thromboembolism (VTE) in critically ill COVID-19 patients and assessed the association between the dose of anticoagulants and outcomes.
Materials and methods
This retrospective cohort included patients with COVID-19 who were admitted to the ICU between March and July 2020. Patients with clinically suspected and confirmed VTE were compared to those not diagnosed to have VTE.
Results
The study enrolled 310 consecutive patients with severe COVID-19 pneumonia: age 60.0±15.1 years, 67.1% required mechanical ventilation and 44.7% vasopressors. Most (97.1%) patients received anticoagulants during ICU stay: prophylactic unfractionated heparin (N=106), standard-dose enoxaparin (N=104) and intermediate-dose enoxaparin (N=57). Limb Doppler ultrasound was performed for 49 (15.8%) patients and chest computed tomographic angiography for 62 (20%). VTE was diagnosed in 41 (13.2%) patients; 20 patients had deep vein thrombosis and 23 had acute pulmonary embolism. Patients with VTE had significantly higher D-dimer on ICU admission. On multivariable Cox regression analysis, intermediate-dose enoxaparin versus standard-dose unfractionated heparin or enoxaparin was associated with lower VTE risk (hazard ratio, 0.06; 95% confidence interval, 0.01-0.74) and lower risk of the composite outcome of VTE or hospital mortality (hazard ratio, 0.42; 95% confidence interval, 0.23-0.78; p=0.006). Major bleeding was not different between the intermediate- and prophylactic-dose heparin groups.
Conclusions
In our study, clinically suspected and confirmed VTE was diagnosed in 13.2% of critically ill patients with COVID-19. Intermediate-dose enoxaparin versus standard-dose unfractionated heparin or enoxaparin was associated with decreased risk of VTE or hospital mortality.
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12
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Xu Y, Kong X, Zhu Y, Xu J, Mao H, Li J, Zhang J, Zhu X. Contribution of gut microbiota toward renal function in sepsis. Front Microbiol 2022; 13:985283. [PMID: 36147845 PMCID: PMC9486003 DOI: 10.3389/fmicb.2022.985283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
Sepsis most often involves the kidney and is one of the most common causes of acute kidney injury. The prevalence of septic acute kidney injury has increased significantly in recent years. The gut microbiota plays an important role in sepsis. It interacts with the kidney in a complex and multifactorial process, which is not fully understood. Sepsis may lead to gut microbiota alteration, orchestrate gut mucosal injury, and cause gut barrier failure, which further alters the host immunological and metabolic homeostasis. The pattern of gut microbiota alteration also varies with sepsis progression. Changes in intestinal microecology have double-edged effects on renal function, which also affects intestinal homeostasis. This review aimed to clarify the interaction between gut microbiota and renal function during the onset and progression of sepsis. The mechanism of gut–kidney crosstalk may provide potential insights for the development of novel therapeutic strategies for sepsis.
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Affiliation(s)
- Yaya Xu
- Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Xiangmei Kong
- Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Yueniu Zhu
- Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Jiayue Xu
- Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Haoyun Mao
- Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Jiru Li
- Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Jianhua Zhang
- Department of Pediatric Respiratory, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Jianhua Zhang,
| | - Xiaodong Zhu
- Department of Pediatric Critical Care Medicine, Xinhua Hospital, Affiliated to the Medical School of Shanghai Jiao Tong University, Shanghai, China
- Xiaodong Zhu,
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13
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Bing E, Archambault K, Sananikone A, Nguyen KD, Fang YT, Jabamikos C, Gras C, Marsot A, Duceppe MA, Perreault MM. Risk factors associated with augmented renal clearance in a mixed intensive care unit population: a retrospective study. Int J Clin Pharm 2022; 44:1277-1286. [PMID: 35834093 DOI: 10.1007/s11096-022-01458-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Augmented renal clearance is increasingly recognized in critically ill patients. This condition may lead to suboptimal dosing of renally excreted medications. AIM Our primary objective was to identify demographic and clinical factors associated with augmented renal clearance in a mixed critically ill population. METHOD This retrospective single center observational cohort study evaluated patients admitted in a mixed adult intensive care unit for augmented renal clearance, defined as a creatinine clearance of ≥ 130 ml/min/1.73m2, through weekly 24-h urine collection. Variables associated with augmented renal clearance were identified using univariate analysis, then served as covariates in a backward stepwise logistic regression. Goodness-of-fit of the model was assessed and receiver operating characteristic curve was generated. RESULTS Augmented renal clearance was observed in 25.3% of the study cohort (n = 324). Age below 50 years (adjusted odds ratio 7.32; 95% CI 4.03-13.29, p < 0.001), lower serum creatinine at intensive care admission (adjusted odds ratio 0.97; 95% CI 0.96-0.99, p < 0.001) and trauma admission (adjusted odds ratio 2.26; 95% CI 1.12-4.54, p = 0.022) were identified as independent risk factors. Our model showed acceptable discrimination in predicting augmented renal clearance (Area under receiver operating characteristic curve (0.810; 95% CI 0.756-0.864, p < 0.001)). CONCLUSION We identified age below 50 years, lower serum creatinine upon intensive care admission and trauma as independent risk factors for augmented renal clearance, consistent with the literature suggesting that patients with low serum creatinine upon admission could have a higher risk of developing augmented renal clearance.
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Affiliation(s)
- Emily Bing
- Department of Pharmacy, McGill University Health Center, Royal Victoria Hospital, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Kym Archambault
- Department of Pharmacy, McGill University Health Center, Royal Victoria Hospital, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Alice Sananikone
- Department of Pharmacy, McGill University Health Center, Royal Victoria Hospital, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Kim-Dan Nguyen
- Department of Pharmacy, McGill University Health Center, Royal Victoria Hospital, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Yi Tong Fang
- Department of Pharmacy, McGill University Health Center, Royal Victoria Hospital, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Caren Jabamikos
- Department of Pharmacy, McGill University Health Center, Royal Victoria Hospital, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Cécile Gras
- Département de Pharmacie, Centre Hospitalier de Montpellier, 91 av. du Doyen Giraud, 34295, Montpellier cedex 5, France
| | - Amélie Marsot
- Faculté de Pharmacie de L'Université de Montréal, Pavillon Jean-Coutu 2940, Chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada
| | - Marc-Alexandre Duceppe
- Department of Pharmacy, McGill University Health Center, Royal Victoria Hospital, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Marc M Perreault
- Faculté de Pharmacie de L'Université de Montréal, Pavillon Jean-Coutu 2940, Chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada. .,Department of Pharmacy, McGill University Health Center, Montreal General Hospital, 1650 Cedar Ave, Montreal, QC, H3G 1A4, Canada.
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14
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Prevalence and Risk Factors of Augmented Renal Clearance: A Systematic Review and Meta-Analysis. Pharmaceutics 2022; 14:pharmaceutics14020445. [PMID: 35214177 PMCID: PMC8878755 DOI: 10.3390/pharmaceutics14020445] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 02/04/2023] Open
Abstract
Kidney function assessment in the critically ill overlooks the possibility for hyperfunctioning kidneys, known as augmented renal clearance (ARC), which could contribute to therapeutic failures in the intensive care unit (ICU). The aim of this research is to conduct a systematic review and meta-analysis of prevalence and risk factors of ARC in the critically ill. MEDLINE, Embase, Cochrane Library, CINAHL, Scopus, ProQuest Dissertations and Theses Global databases were searched on 27 October 2020. We included studies conducted in critically ill adults who reported the prevalence and/or risk factors of ARC. We evaluated study quality using the Joanna Briggs Institute appraisal tool. Case reports, reviews, editorials and commentaries were excluded. We generated a random-effects meta-analytic model using the inverse variance method and visualized the pooled estimates using forest plots. Seventy studies were included. The pooled prevalence (95% CI) was 39% (34.9–43.3). Prevalence for neuro, trauma, mixed and sepsis ICUs were 74 (55–87), 58 (48–67), 36 (31–41) and 33 (21–48), respectively. Age, male sex and trauma were associated with ARC with pooled OR (95% CI) of 0.95 (0.93–0.96), 2.36 (1.28–4.36), 2.60 (1.21–5.58), respectively. Limitations included variations in ARC definition, inclusion and exclusion criteria and studies design. In conclusion, ARC is prevalent in critically ill patients, especially those in the neurocritical care and trauma ICU population. Young age, male sex and trauma are risk factors for ARC in those with apparently normal renal function. Further research on optimal dosing of drugs in the setting of ARC is warranted. (Prospero registration: CRD42021246417).
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15
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Charco Roca LM, Peyró García R, Ortega Cerrato A. Glomerular hyperfiltration in critically ill patients. REVISTA ESPANOLA DE ANESTESIOLOGIA Y REANIMACION 2021; 68:545-546. [PMID: 34764068 DOI: 10.1016/j.redare.2020.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 06/13/2023]
Affiliation(s)
- L M Charco Roca
- Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
| | - R Peyró García
- Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | - A Ortega Cerrato
- Complejo Hospitalario Universitario de Albacete, Albacete, Spain
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16
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Rhoney DH, Metzger SA, Nelson NR. Scoping review of augmented renal clearance in critically ill pediatric patients. Pharmacotherapy 2021; 41:851-863. [PMID: 34431121 DOI: 10.1002/phar.2617] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 08/02/2021] [Accepted: 08/02/2021] [Indexed: 11/06/2022]
Abstract
Augmented renal clearance (ARC), a phenomenon of enhanced elimination of renal solutes, has been described in adult critically ill patients, but little is known about the phenomenon in children. The aim of this scoping review was to gather and summarize all evidence on ARC in pediatric patients to examine its breadth and depth including prevalence, risk factors, and pharmacokinetic alterations and identify any gaps for further areas of inquiry. PubMed, Embase, and Web of Science were searched for titles, abstracts, or keywords that focused on ARC. Non-English studies, reviews, and nonhuman studies were excluded. Reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR) guidelines. Data were extracted on article type, study details, patient population, ARC definition and prevalence, methods of renal function assessment, and study results. A total of 215 citations were found with 25 citations meeting the criteria for inclusion in pediatrics (2102 total patients); the majority of studies (84%) focused on pharmacokinetics (PK) of antimicrobial agents. The median/mean age range was 1.25-12 years. There were a total of 10 different definitions of ARC. The prevalence of ARC ranged from 7.8% to 78%. The most common method for documenting creatinine clearance (CrCl) was the modified Schwartz equation (64%). Only 20% of studies reported risk factors for ARC including low serum creatinine, increasing age, febrile neutropenia, male, septic shock, and treatment with antibiotics. Glycopeptide antimicrobials were the most evaluated class (42.9%) among the 21 antimicrobial drug studies. All studies reported increased drug clearance and/or poor probability of achieving target concentrations of the agents studied. ARC showed variable prevalence in pediatric patients likely due to the lack of a standard definition and many studies not considering age-related changes in CrCl with pediatric intensive care unit (PICU) patients. ARC was shown to impact PK of antibiotics commonly administered to pediatric patients, which may necessitate changes in standard dosing regimens.
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Affiliation(s)
- Denise H Rhoney
- Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | | | - Nicholas R Nelson
- Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
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17
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Egi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada TA, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, et alEgi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada TA, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, Yamada H, Yamamoto R, Yoshida T, Yoshida Y, Yoshimura J, Yotsumoto R, Yonekura H, Wada T, Watanabe E, Aoki M, Asai H, Abe T, Igarashi Y, Iguchi N, Ishikawa M, Ishimaru G, Isokawa S, Itakura R, Imahase H, Imura H, Irinoda T, Uehara K, Ushio N, Umegaki T, Egawa Y, Enomoto Y, Ota K, Ohchi Y, Ohno T, Ohbe H, Oka K, Okada N, Okada Y, Okano H, Okamoto J, Okuda H, Ogura T, Onodera Y, Oyama Y, Kainuma M, Kako E, Kashiura M, Kato H, Kanaya A, Kaneko T, Kanehata K, Kano KI, Kawano H, Kikutani K, Kikuchi H, Kido T, Kimura S, Koami H, Kobashi D, Saiki I, Sakai M, Sakamoto A, Sato T, Shiga Y, Shimoto M, Shimoyama S, Shoko T, Sugawara Y, Sugita A, Suzuki S, Suzuki Y, Suhara T, Sonota K, Takauji S, Takashima K, Takahashi S, Takahashi Y, Takeshita J, Tanaka Y, Tampo A, Tsunoyama T, Tetsuhara K, Tokunaga K, Tomioka Y, Tomita K, Tominaga N, Toyosaki M, Toyoda Y, Naito H, Nagata I, Nagato T, Nakamura Y, Nakamori Y, Nahara I, Naraba H, Narita C, Nishioka N, Nishimura T, Nishiyama K, Nomura T, Haga T, Hagiwara Y, Hashimoto K, Hatachi T, Hamasaki T, Hayashi T, Hayashi M, Hayamizu A, Haraguchi G, Hirano Y, Fujii R, Fujita M, Fujimura N, Funakoshi H, Horiguchi M, Maki J, Masunaga N, Matsumura Y, Mayumi T, Minami K, Miyazaki Y, Miyamoto K, Murata T, Yanai M, Yano T, Yamada K, Yamada N, Yamamoto T, Yoshihiro S, Tanaka H, Nishida O. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020). J Intensive Care 2021; 9:53. [PMID: 34433491 PMCID: PMC8384927 DOI: 10.1186/s40560-021-00555-7] [Show More Authors] [Citation(s) in RCA: 118] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 02/08/2023] Open
Abstract
The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created as revised from J-SSCG 2016 jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in September 2020 and published in February 2021. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. The purpose of this guideline is to assist medical staff in making appropriate decisions to improve the prognosis of patients undergoing treatment for sepsis and septic shock. We aimed to provide high-quality guidelines that are easy to use and understand for specialists, general clinicians, and multidisciplinary medical professionals. J-SSCG 2016 took up new subjects that were not present in SSCG 2016 (e.g., ICU-acquired weakness [ICU-AW], post-intensive care syndrome [PICS], and body temperature management). The J-SSCG 2020 covered a total of 22 areas with four additional new areas (patient- and family-centered care, sepsis treatment system, neuro-intensive treatment, and stress ulcers). A total of 118 important clinical issues (clinical questions, CQs) were extracted regardless of the presence or absence of evidence. These CQs also include those that have been given particular focus within Japan. This is a large-scale guideline covering multiple fields; thus, in addition to the 25 committee members, we had the participation and support of a total of 226 members who are professionals (physicians, nurses, physiotherapists, clinical engineers, and pharmacists) and medical workers with a history of sepsis or critical illness. The GRADE method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members.As a result, 79 GRADE-based recommendations, 5 Good Practice Statements (GPS), 18 expert consensuses, 27 answers to background questions (BQs), and summaries of definitions and diagnosis of sepsis were created as responses to 118 CQs. We also incorporated visual information for each CQ according to the time course of treatment, and we will also distribute this as an app. The J-SSCG 2020 is expected to be widely used as a useful bedside guideline in the field of sepsis treatment both in Japan and overseas involving multiple disciplines.
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Affiliation(s)
- Moritoki Egi
- Department of Surgery Related, Division of Anesthesiology, Kobe University Graduate School of Medicine, Kusunoki-cho 7-5-2, Chuo-ku, Kobe, Hyogo, Japan.
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Medical School, Yamadaoka 2-15, Suita, Osaka, Japan.
| | - Tomoaki Yatabe
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kazuaki Atagi
- Department of Intensive Care Unit, Nara Prefectural General Medical Center, Nara, Japan
| | - Shigeaki Inoue
- Department of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Toshiaki Iba
- Department of Emergency and Disaster Medicine, Juntendo University, Tokyo, Japan
| | - Yasuyuki Kakihana
- Department of Emergency and Intensive Care Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Tatsuya Kawasaki
- Department of Pediatric Critical Care, Shizuoka Children's Hospital, Shizuoka, Japan
| | - Shigeki Kushimoto
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yasuhiro Kuroda
- Department of Emergency, Disaster, and Critical Care Medicine, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Joji Kotani
- Department of Surgery Related, Division of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Takumi Taniguchi
- Department of Anesthesiology and Intensive Care Medicine, Kanazawa University, Kanazawa, Japan
| | - Ryosuke Tsuruta
- Acute and General Medicine, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kent Doi
- Department of Acute Medicine, The University of Tokyo, Tokyo, Japan
| | - Matsuyuki Doi
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Taka-Aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Masaki Nakane
- Department of Emergency and Critical Care Medicine, Yamagata University Hospital, Yamagata, Japan
| | - Seitaro Fujishima
- Center for General Medicine Education, Keio University School of Medicine, Tokyo, Japan
| | - Naoto Hosokawa
- Department of Infectious Diseases, Kameda Medical Center, Kamogawa, Japan
| | - Yoshiki Masuda
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Asako Matsushima
- Department of Advancing Acute Medicine, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan
| | - Naoyuki Matsuda
- Department of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuma Yamakawa
- Department of Emergency Medicine, Osaka Medical College, Osaka, Japan
| | - Yoshitaka Hara
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mai Inada
- Member of Japanese Association for Acute Medicine, Tokyo, Japan
| | - Yutaka Umemura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | - Yusuke Kawai
- Department of Nursing, Fujita Health University Hospital, Toyoake, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Hiroki Saito
- Department of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, Yokohama, Japan
| | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Support and Practice, Hiroshima University Hospital, Hiroshima, Japan
| | - Chikashi Takeda
- Department of Anesthesia, Kyoto University Hospital, Kyoto, Japan
| | - Takero Terayama
- Department of Psychiatry, School of Medicine, National Defense Medical College, Tokorozawa, Japan
| | | | - Hideki Hashimoto
- Department of Emergency and Critical Care Medicine/Infectious Disease, Hitachi General Hospital, Hitachi, Japan
| | - Kei Hayashida
- The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Toru Hifumi
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Tomoya Hirose
- Emergency and Critical Care Medical Center, Osaka Police Hospital, Osaka, Japan
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tomoko Fujii
- Intensive Care Unit, Jikei University Hospital, Tokyo, Japan
| | - Shinya Miura
- The Royal Children's Hospital Melbourne, Melbourne, Australia
| | - Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Toshikazu Abe
- Department of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan
| | - Kohkichi Andoh
- Division of Anesthesiology, Division of Intensive Care, Division of Emergency and Critical Care, Sendai City Hospital, Sendai, Japan
| | - Yuki Iida
- Department of Physical Therapy, School of Health Sciences, Toyohashi Sozo University, Toyohashi, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Kentaro Ide
- Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Kenta Ito
- Department of General Pediatrics, Aichi Children's Health and Medical Center, Obu, Japan
| | - Yusuke Ito
- Department of Infectious Disease, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Yu Inata
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Akemi Utsunomiya
- Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takeshi Unoki
- Department of Acute and Critical Care Nursing, School of Nursing, Sapporo City University, Sapporo, Japan
| | - Koji Endo
- Department of Pharmacoepidemiology, Kyoto University Graduate School of Medicine and Public Health, Kyoto, Japan
| | - Akira Ouchi
- College of Nursing, Ibaraki Christian University, Hitachi, Japan
| | - Masayuki Ozaki
- Department of Emergency and Critical Care Medicine, Komaki City Hospital, Komaki, Japan
| | - Satoshi Ono
- Gastroenterological Center, Shinkuki General Hospital, Kuki, Japan
| | | | | | - Yusuke Kawamura
- Department of Rehabilitation, Showa General Hospital, Tokyo, Japan
| | - Daisuke Kudo
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kenji Kubo
- Department of Emergency Medicine and Department of Infectious Diseases, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan
| | - Kiyoyasu Kurahashi
- Department of Anesthesiology and Intensive Care Medicine, International University of Health and Welfare School of Medicine, Narita, Japan
| | | | - Akira Shimoyama
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Takeshi Suzuki
- Department of Anesthesiology, Tokai University School of Medicine, Isehara, Japan
| | - Shusuke Sekine
- Department of Anesthesiology, Tokyo Medical University, Tokyo, Japan
| | - Motohiro Sekino
- Division of Intensive Care, Nagasaki University Hospital, Nagasaki, Japan
| | - Nozomi Takahashi
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Sei Takahashi
- Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan
| | - Hiroshi Takahashi
- Department of Cardiology, Steel Memorial Muroran Hospital, Muroran, Japan
| | - Takashi Tagami
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashi Kosugi Hospital, Kawasaki, Japan
| | - Goro Tajima
- Nagasaki University Hospital Acute and Critical Care Center, Nagasaki, Japan
| | - Hiroomi Tatsumi
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Masanori Tani
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Asuka Tsuchiya
- Department of Emergency and Critical Care Medicine, National Hospital Organization Mito Medical Center, Ibaraki, Japan
| | - Yusuke Tsutsumi
- Department of Emergency and Critical Care Medicine, National Hospital Organization Mito Medical Center, Ibaraki, Japan
| | - Takaki Naito
- Department of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Masaharu Nagae
- Department of Intensive Care Medicine, Kobe University Hospital, Kobe, Japan
| | | | - Kensuke Nakamura
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shin Nunomiya
- Department of Anesthesiology and Intensive Care Medicine, Division of Intensive Care, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Yasuhiro Norisue
- Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Hasegawa
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Junji Hatakeyama
- Department of Emergency and Critical Care Medicine, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Naoki Hara
- Department of Pharmacy, Yokohama Rosai Hospital, Yokohama, Japan
| | - Naoki Higashibeppu
- Department of Anesthesiology and Nutrition Support Team, Kobe City Medical Center General Hospital, Kobe City Hospital Organization, Kobe, Japan
| | - Nana Furushima
- Department of Anesthesiology, Kobe University Hospital, Kobe, Japan
| | - Hirotaka Furusono
- Department of Rehabilitation, University of Tsukuba Hospital/Exult Co., Ltd., Tsukuba, Japan
| | - Yujiro Matsuishi
- Doctoral program in Clinical Sciences. Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Tasuku Matsuyama
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yusuke Minematsu
- Department of Clinical Engineering, Osaka University Hospital, Suita, Japan
| | - Ryoichi Miyashita
- Department of Intensive Care Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yuji Miyatake
- Department of Clinical Engineering, Kakogawa Central City Hospital, Kakogawa, Japan
| | - Megumi Moriyasu
- Division of Respiratory Care and Rapid Response System, Intensive Care Center, Kitasato University Hospital, Sagamihara, Japan
| | - Toru Yamada
- Department of Nursing, Toho University Omori Medical Center, Tokyo, Japan
| | - Hiroyuki Yamada
- Department of Primary Care and Emergency Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Ryo Yamamoto
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takeshi Yoshida
- Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuhei Yoshida
- Nursing Department, Osaka General Medical Center, Osaka, Japan
| | - Jumpei Yoshimura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | | | - Hiroshi Yonekura
- Department of Clinical Anesthesiology, Mie University Hospital, Tsu, Japan
| | - Takeshi Wada
- Department of Anesthesiology and Critical Care Medicine, Division of Acute and Critical Care Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Eizo Watanabe
- Department of Emergency and Critical Care Medicine, Eastern Chiba Medical Center, Togane, Japan
| | - Makoto Aoki
- Department of Emergency Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hideki Asai
- Department of Emergency and Critical Care Medicine, Nara Medical University, Kashihara, Japan
| | - Takakuni Abe
- Department of Anesthesiology and Intensive Care, Oita University Hospital, Yufu, Japan
| | - Yutaka Igarashi
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Naoya Iguchi
- Department of Anesthesiology and Intensive Care Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Masami Ishikawa
- Department of Anesthesiology, Emergency and Critical Care Medicine, Kure Kyosai Hospital, Kure, Japan
| | - Go Ishimaru
- Department of General Internal Medicine, Soka Municipal Hospital, Soka, Japan
| | - Shutaro Isokawa
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Ryuta Itakura
- Department of Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan
| | - Hisashi Imahase
- Department of Biomedical Ethics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Haruki Imura
- Department of Infectious Diseases, Rakuwakai Otowa Hospital, Kyoto, Japan
- Department of Health Informatics, School of Public Health, Kyoto University, Kyoto, Japan
| | | | - Kenji Uehara
- Department of Anesthesiology, National Hospital Organization Iwakuni Clinical Center, Iwakuni, Japan
| | - Noritaka Ushio
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Takeshi Umegaki
- Department of Anesthesiology, Kansai Medical University, Hirakata, Japan
| | - Yuko Egawa
- Advanced Emergency and Critical Care Center, Saitama Red Cross Hospital, Saitama, Japan
| | - Yuki Enomoto
- Department of Emergency and Critical Care Medicine, University of Tsukuba, Tsukuba, Japan
| | - Kohei Ota
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoshifumi Ohchi
- Department of Anesthesiology and Intensive Care, Oita University Hospital, Yufu, Japan
| | - Takanori Ohno
- Department of Emergency and Critical Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan
| | - Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | | | - Nobunaga Okada
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yohei Okada
- Department of Primary care and Emergency medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hiromu Okano
- Department of Anesthesiology, Kyorin University School of Medicine, Tokyo, Japan
| | - Jun Okamoto
- Department of ER, Hashimoto Municipal Hospital, Hashimoto, Japan
| | - Hiroshi Okuda
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takayuki Ogura
- Tochigi prefectural Emergency and Critical Care Center, Imperial Gift Foundation Saiseikai, Utsunomiya Hospital, Utsunomiya, Japan
| | - Yu Onodera
- Department of Anesthesiology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Yuhta Oyama
- Department of Internal Medicine, Dialysis Center, Kichijoji Asahi Hospital, Tokyo, Japan
| | - Motoshi Kainuma
- Anesthesiology, Emergency Medicine, and Intensive Care Division, Inazawa Municipal Hospital, Inazawa, Japan
| | - Eisuke Kako
- Department of Anesthesiology and Intensive Care Medicine, Nagoya-City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Masahiro Kashiura
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Hiromi Kato
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Akihiro Kanaya
- Department of Anesthesiology, Sendai Medical Center, Sendai, Japan
| | - Tadashi Kaneko
- Emergency and Critical Care Center, Mie University Hospital, Tsu, Japan
| | - Keita Kanehata
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Ken-Ichi Kano
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Hiroyuki Kawano
- Department of Gastroenterological Surgery, Onga Hospital, Fukuoka, Japan
| | - Kazuya Kikutani
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hitoshi Kikuchi
- Department of Emergency and Critical Care Medicine, Seirei Mikatahara General Hospital, Hamamatsu, Japan
| | - Takahiro Kido
- Department of Pediatrics, University of Tsukuba Hospital, Tsukuba, Japan
| | - Sho Kimura
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Hiroyuki Koami
- Center for Translational Injury Research, University of Texas Health Science Center at Houston, Houston, USA
| | - Daisuke Kobashi
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Iwao Saiki
- Department of Anesthesiology, Tokyo Medical University, Tokyo, Japan
| | - Masahito Sakai
- Department of General Medicine Shintakeo Hospital, Takeo, Japan
| | - Ayaka Sakamoto
- Department of Emergency and Critical Care Medicine, University of Tsukuba Hospital, Tsukuba, Japan
| | - Tetsuya Sato
- Tohoku University Hospital Emergency Center, Sendai, Japan
| | - Yasuhiro Shiga
- Department of Orthopaedic Surgery, Center for Advanced Joint Function and Reconstructive Spine Surgery, Graduate school of Medicine, Chiba University, Chiba, Japan
| | - Manabu Shimoto
- Department of Primary care and Emergency medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shinya Shimoyama
- Department of Pediatric Cardiology and Intensive Care, Gunma Children's Medical Center, Shibukawa, Japan
| | - Tomohisa Shoko
- Department of Emergency and Critical Care Medicine, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | - Yoh Sugawara
- Department of Anesthesiology, Yokohama City University, Yokohama, Japan
| | - Atsunori Sugita
- Department of Acute Medicine, Division of Emergency and Critical Care Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Satoshi Suzuki
- Department of Intensive Care, Okayama University Hospital, Okayama, Japan
| | - Yuji Suzuki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Tomohiro Suhara
- Department of Anesthesiology, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Sonota
- Department of Intensive Care Medicine, Miyagi Children's Hospital, Sendai, Japan
| | - Shuhei Takauji
- Department of Emergency Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Kohei Takashima
- Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Sho Takahashi
- Department of Cardiology, Fukuyama City Hospital, Fukuyama, Japan
| | - Yoko Takahashi
- Department of General Internal Medicine, Koga General Hospital, Koga, Japan
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Yuuki Tanaka
- Fukuoka Prefectural Psychiatric Center, Dazaifu Hospital, Dazaifu, Japan
| | - Akihito Tampo
- Department of Emergency Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Taichiro Tsunoyama
- Department of Emergency Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Kenichi Tetsuhara
- Emergency and Critical Care Center, Kyushu University Hospital, Fukuoka, Japan
| | - Kentaro Tokunaga
- Department of Intensive Care Medicine, Kumamoto University Hospital, Kumamoto, Japan
| | - Yoshihiro Tomioka
- Department of Anesthesiology and Intensive Care Unit, Todachuo General Hospital, Toda, Japan
| | - Kentaro Tomita
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Naoki Tominaga
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Mitsunobu Toyosaki
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yukitoshi Toyoda
- Department of Emergency and Critical Care Medicine, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Isao Nagata
- Intensive Care Unit, Yokohama City Minato Red Cross Hospital, Yokohama, Japan
| | - Tadashi Nagato
- Department of Respiratory Medicine, Tokyo Yamate Medical Center, Tokyo, Japan
| | - Yoshimi Nakamura
- Department of Emergency and Critical Care Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan
| | - Yuki Nakamori
- Department of Clinical Anesthesiology, Mie University Hospital, Tsu, Japan
| | - Isao Nahara
- Department of Anesthesiology and Critical Care Medicine, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Hiromu Naraba
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan
| | - Chihiro Narita
- Department of Emergency Medicine and Intensive Care Medicine, Shizuoka General Hospital, Shizuoka, Japan
| | - Norihiro Nishioka
- Department of Preventive Services, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomoya Nishimura
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Kei Nishiyama
- Division of Emergency and Critical Care Medicine Niigata University Graduate School of Medical and Dental Science, Niigata, Japan
| | - Tomohisa Nomura
- Department of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Taiki Haga
- Department of Pediatric Critical Care Medicine, Osaka City General Hospital, Osaka, Japan
| | - Yoshihiro Hagiwara
- Department of Emergency and Critical Care Medicine, Saiseikai Utsunomiya Hospital, Utsunomiya, Japan
| | - Katsuhiko Hashimoto
- Research Associate of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan
| | - Takeshi Hatachi
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Toshiaki Hamasaki
- Department of Emergency Medicine, Japanese Red Cross Society Wakayama Medical Center, Wakayama, Japan
| | - Takuya Hayashi
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Minoru Hayashi
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Atsuki Hayamizu
- Department of Emergency Medicine, Saitama Saiseikai Kurihashi Hospital, Kuki, Japan
| | - Go Haraguchi
- Division of Intensive Care Unit, Sakakibara Heart Institute, Tokyo, Japan
| | - Yohei Hirano
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Ryo Fujii
- Department of Emergency Medicine and Critical Care Medicine, Tochigi Prefectural Emergency and Critical Care Center, Imperial Foundation Saiseikai Utsunomiya Hospital, Utsunomiya, Japan
| | - Motoki Fujita
- Acute and General Medicine, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Naoyuki Fujimura
- Department of Anesthesiology, St. Mary's Hospital, Our Lady of the Snow Social Medical Corporation, Kurume, Japan
| | - Hiraku Funakoshi
- Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, Japan
| | - Masahito Horiguchi
- Department of Emergency and Critical Care Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan
| | - Jun Maki
- Department of Critical Care Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Naohisa Masunaga
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yosuke Matsumura
- Department of Intensive Care, Chiba Emergency Medical Center, Chiba, Japan
| | - Takuya Mayumi
- Department of Internal Medicine, Kanazawa Municipal Hospital, Kanazawa, Japan
| | - Keisuke Minami
- Ishikawa Prefectual Central Hospital Emergency and Critical Care Center, Kanazawa, Japan
| | - Yuya Miyazaki
- Department of Emergency and General Internal Medicine, Saiseikai Kawaguchi General Hospital, Kawaguchi, Japan
| | - Kazuyuki Miyamoto
- Department of Emergency and Disaster Medicine, Showa University, Tokyo, Japan
| | - Teppei Murata
- Department of Cardiology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Machi Yanai
- Department of Emergency Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Takao Yano
- Department of Critical Care and Emergency Medicine, Miyazaki Prefectural Nobeoka Hospital, Nobeoka, Japan
| | - Kohei Yamada
- Department of Traumatology and Critical Care Medicine, National Defense Medical College, Tokorozawa, Japan
| | - Naoki Yamada
- Department of Emergency Medicine, University of Fukui Hospital, Fukui, Japan
| | - Tomonori Yamamoto
- Department of Intensive Care Unit, Nara Prefectural General Medical Center, Nara, Japan
| | - Shodai Yoshihiro
- Pharmaceutical Department, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Hiroshi Tanaka
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Osamu Nishida
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
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Charco Roca LM, Peyró García R, Ortega Cerrato A. Glomerular hyperfiltration in critically ill patients. REVISTA ESPANOLA DE ANESTESIOLOGIA Y REANIMACION 2021; 68:S0034-9356(20)30321-2. [PMID: 34154826 DOI: 10.1016/j.redar.2020.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 06/13/2023]
Affiliation(s)
- L M Charco Roca
- Complejo Hospitalario Universitario de Albacete, Albacete, España.
| | - R Peyró García
- Complejo Hospitalario Universitario de Albacete, Albacete, España
| | - A Ortega Cerrato
- Complejo Hospitalario Universitario de Albacete, Albacete, España
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Wells MA, Morbitzer K, Rhoney DH. Evaluation of the Accuracy of Standard Renal Function Equations in Critically Ill Patients with Subarachnoid Hemorrhage. Neurocrit Care 2021; 32:828-835. [PMID: 31591691 DOI: 10.1007/s12028-019-00854-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Obtaining an accurate estimation of renal function is germane to optimizing care in critically ill patients. However, there is no consensus on the most accurate renal function assessment to utilize in this patient population, particularly in aneurysmal subarachnoid hemorrhage (aSAH) patients. Thus, the objective of this observational study was to determine the comparability of renal function equations to body surface area (BSA)-adjusted 8-h creatinine clearance (CrCl) in aSAH patients. METHODS A PubMed search investigated the applicability of various renal function equations in critically ill patient populations. A subset of these equations was compared to BSA-adjusted 8-h CrCl from a previous study with aSAH patients with no evidence of renal dysfunction (admission serum creatinine < 1.5 mg/dL) and no history of chronic kidney disease. Area-under-the-curve (AUC) calculations were completed using serial laboratory measurements to validate preliminary findings. RESULTS A total of 14 renal function equations were identified with seven carried forward for further analysis based upon a priori criteria. Seven equations were excluded for various reasons, including lack of available clinical data, redundancy with other equations, and dissimilar patient populations to this study. When directly compared to the BSA-adjusted 8-h CrCl, only the Cockcroft-Gault and BSA-adjusted Cockcroft-Gault equations were not statistically significantly different (P = 0.0886 and P = 0.4805, respectively); all other equations were statistically significantly different (P < 0.0001). Additionally, only 52% and 44% of patients had average values within 20% of the BSA-adjusted 8-h CrCl using the Cockcroft-Gault and BSA-adjusted Cockcroft-Gault equations, respectively. Finally, the AUC calculations corroborated the preliminary findings with similar results in statistical testing for the Cockcroft-Gault and BSA-adjusted Cockcroft-Gault (P = 0.6300 and P = 0.1513, respectively). CONCLUSIONS The Cockcroft-Gault equation may be the best renal function equation to assess in critically ill patients diagnosed with aSAH. However, accuracy and consistency in assessing renal function when compared to the BSA-adjusted 8-h CrCl were lacking. Thus, this study suggests the BSA-adjusted 8-h CrCl may be the most appropriate assessment of renal function in patients with aSAH.
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Affiliation(s)
- Michael A Wells
- Division of Pharmacy Practice, Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA
| | - Kathryn Morbitzer
- Division of Practice Advancement and Clinical Education, University of North Carolina Eshelman School of Pharmacy, 115E Beard Hall, Campus, Box 7574, Chapel Hill, NC, 27599-7574, USA
| | - Denise H Rhoney
- Division of Practice Advancement and Clinical Education, University of North Carolina Eshelman School of Pharmacy, 115E Beard Hall, Campus, Box 7574, Chapel Hill, NC, 27599-7574, USA.
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20
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Development and External Validation of an Online Clinical Prediction Model for Augmented Renal Clearance in Adult Mixed Critically Ill Patients: The Augmented Renal Clearance Predictor. Crit Care Med 2021; 48:e1260-e1268. [PMID: 33048900 DOI: 10.1097/ccm.0000000000004667] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVES Augmented renal clearance might lead to subtherapeutic plasma levels of drugs with predominant renal clearance. Early identification of augmented renal clearance remains challenging for the ICU physician. We developed and validated our augmented renal clearance predictor, a clinical prediction model for augmented renal clearance on the next day during ICU stay, and made it available via an online calculator. We compared its predictive performance with that of two existing models for augmented renal clearance. DESIGN Multicenter retrospective registry-based cohort study. SETTING Three Belgian tertiary care academic hospitals. PATIENTS Adult medical, surgical, and cardiac surgery ICU patients. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Development of the prediction model was based on clinical information available during ICU stay. Out of 33,258 ICU days, we found augmented renal clearance on 19.6% of all ICU days in the development cohort. We retained six clinical variables in our augmented renal clearance predictor: day from ICU admission, age, sex, serum creatinine, trauma, and cardiac surgery. We assessed performance by measuring discrimination, calibration, and net benefit. We externally validated the final model in a single-center population (n = 10,259 ICU days). External validation confirmed good performance with an area under the curve of 0.88 (95% CI 0.87-0.88) and a sensitivity and specificity of 84.1 (95% CI 82.5-85.7) and 76.3 (95% CI 75.4-77.2) at the default threshold probability of 0.2, respectively. CONCLUSIONS Augmented renal clearance on the next day can be predicted with good performance during ICU stay, using routinely collected clinical information that is readily available at bedside. Our augmented renal clearance predictor is available at www.arcpredictor.com.
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21
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The Performance of Equations That Estimate Glomerular Filtration Rate against Measured Urinary Creatinine Clearance in Critically Ill Patients. Crit Care Res Pract 2021; 2021:5520653. [PMID: 34055406 PMCID: PMC8149233 DOI: 10.1155/2021/5520653] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/05/2021] [Indexed: 12/29/2022] Open
Abstract
The performance of glomerular filtration rate- (GFR-) estimating equations was studied against creatinine clearance measured by 24-hour urine collection (CrCl24h-urine) in critically ill patients. Methods. In this substudy of the PermiT trial (https://clinicaltrials.gov/ct2/show/ISRCTN68144998), patients from King Abdulaziz Medical City-Riyadh who had CrCl24h-urine were included. We estimated GFR using Cockroft–Gault (CG), modification of diet in renal disease study (MDRD), chronic kidney disease epidemiology collaboration (CKD-EPI), and Jelliffe equations. For the CG equation, we entered the actual weight in one calculation (CGactual-wt), and if BMI ≥30 kg/m2, we entered the ideal body weight (CGideal-wt) and the adjusted body weight (CGadjusted-wt) in two calculations. We calculated the MDRD equation based on 4 (MDRD-4) and 6 variables (MDRD-6). The performance of these equations was assessed by different ways including Spearman correlation, bias (difference between estimated GFR and CrCl24h-urine), precision (standard deviation of bias), and Bland–Altman plot analysis. Results. The cohort consisted of 237 patients (age 45 ± 20 years, males 75%, mechanically ventilated 99% with serum creatinine 101 ± 94 µmol/L and CrCl24h-urine 108 ± 69 ml/min/1.73 m2). The correlations between the different equations and CrCl24h-urine were modest (r: 0.62 to 0.79; p < 0.0001). Bias was statistically significant for CGactual-wt (21 ml/min), CGadjusted-wt (12 ml/min), and MDRD-6 (-10 ml/min) equations. Precision ranged from 46 to 54 ml/min. The sensitivity of equations to correctly classify CrCl24h-urine 30–59.9 ml/min/1.73 m2 was 17.2% for CGactual-wt, 30.0% for CGideal-wt, 31.0% for CGadjusted-wt, 31.0% for MDRD-4, 39.1% for MDRD-6, 13.8% for CKD-EPI, and 34.5% for Jelliffe equation. Conclusions. Commonly used GFR-estimating equations had limited ability to properly estimate CrCl24h-urine and to correctly classify GFR into clinically relevant ranges that usually determine dosing of medications.
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Evaluation of glomerular filtration rate using iohexol plasma clearance in critically ill patients with augmented renal creatinine clearance: A single-centre retrospective study. Eur J Anaesthesiol 2021; 38:652-658. [PMID: 33742973 DOI: 10.1097/eja.0000000000001501] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Augmented renal creatinine clearance (ARC) (≥130 ml min-1 1.73 m-2) is frequent in intensive care unit (ICU) patients and may impact patient outcome. OBJECTIVES To compare glomerular filtration rate (GFR) measured with iohexol plasma clearance and creatinine clearance in critically ill patients with augmented renal clearance. DESIGN Single-centre, retrospective study. SETTING French University Hospital ICU from November 2016 to May 2019. PATIENTS Adult patients with augmented renal clearance who had a measurement of iohexol plasma clearance. MAIN OUTCOME MEASURE Agreement between 6 h creatinine clearance (6 h CrCl) and iohexol plasma clearance (GFRio). RESULTS Twenty-nine patients were included. The median 6 h creatinine clearance was 195 [interquartile range (IQR) 162 to 251] ml min-1 1.73 m-2 and iohexol clearance was 133 [117 to 153] ml min-1 1.73 m-2. Sixteen patients (55%) had hyperfiltration (clearance >130 ml min-1 1.73 m-2) measured with iohexol clearance. Mean bias between iohexol and creatinine clearance was -80 [limits of agreement (LoA) -216 to 56 ml min-1 1.73 m-2]. For Cockcroft and Gault Modification of Diet in Renal Disease equation (MDRD), Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI) formulae, mean biases were, respectively -27 (LoA -99 to 45), -14 (LoA -86 to 59) and 15 (LoA -33 to 64) ml min-1 1.73 m-2. CONCLUSION In the present study, we found that in patients with augmented renal creatinine clearance, half of the patients do not have hyperfiltration using iohexol clearance measurements. We observed an important bias between 6 h CrCl and GFRio with large LoA. In critically patients with ARC, 6 h CrCl does not reliably estimate GFR and 6 h CrCl nearly systematically overestimates renal function. Comparison of creatinine-based GFR estimations and GFRio show acceptable bias but wide LoA.
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23
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Johnston BW, Perry D, Habgood M, Joshi M, Krige A. Augmented renal clearance: a retrospective, cohort study of urinary creatinine clearance in critically ill patients in the United Kingdom. J Int Med Res 2021; 49:3000605211015573. [PMID: 34038207 PMCID: PMC8161888 DOI: 10.1177/03000605211015573] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 03/23/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Augmented renal clearance (ARC) is associated with sub-therapeutic antibiotic, anti-epileptic, and anticoagulant serum concentrations leading to adverse patient outcomes. We aimed to describe the prevalence and associated risk factors for ARC development in a large, single-centre cohort in the United Kingdom. METHODS We conducted a retrospective observational study of critically unwell patients admitted to intensive care between 2014 and 2016. Urinary creatinine clearance was used to determine the ARC prevalence during the first 7 days of admission. Repeated measures logistic regression was used to determine risk factors for ARC development. RESULTS The ARC prevalence was 47.0% (95% confidence interval [95%CI]: 44.3%-49.7%). Age, sex, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and sepsis diagnosis were significantly associated with ARC. ARC was more prevalent in younger vs. older (odds ratio [OR] 0.95 [95%CI: 0.94-0.96]), male vs. female (OR 0.32 [95%CI: 0.26-0.40]) patients with lower vs. higher APACHE II scores (OR 0.94 [95%CI: 0.92-0.96]). CONCLUSIONS This patient group probably remains unknown to many clinicians because measuring urinary creatinine clearance is not usually indicated in this group. Clinicians should be aware of the ARC risk in this group and consider measurement of urinary creatinine clearance.
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Affiliation(s)
- Brian W Johnston
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - David Perry
- East Lancashire Hospital Trust, Blackburn, UK
| | | | | | - Anton Krige
- East Lancashire Hospital Trust, Blackburn, UK
- University of Central Lancashire, Preston, UK
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24
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Duong A, Simard C, Wang YL, Williamson D, Marsot A. Aminoglycosides in the Intensive Care Unit: What Is New in Population PK Modeling? Antibiotics (Basel) 2021; 10:antibiotics10050507. [PMID: 33946905 PMCID: PMC8145041 DOI: 10.3390/antibiotics10050507] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 04/24/2021] [Accepted: 04/26/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Although aminoglycosides are often used as treatment for Gram-negative infections, optimal dosing regimens remain unclear, especially in ICU patients. This is due to a large between- and within-subject variability in the aminoglycoside pharmacokinetics in this population. Objective: This review provides comprehensive data on the pharmacokinetics of aminoglycosides in patients hospitalized in the ICU by summarizing all published PopPK models in ICU patients for amikacin, gentamicin, and tobramycin. The objective was to determine the presence of a consensus on the structural model used, significant covariates included, and therapeutic targets considered during dosing regimen simulations. Method: A literature search was conducted in the Medline/PubMed database, using the terms: ‘amikacin’, ‘gentamicin’, ‘tobramycin’, ‘pharmacokinetic(s)’, ‘nonlinear mixed effect’, ‘population’, ‘intensive care’, and ‘critically ill’. Results: Nineteen articles were retained where amikacin, gentamicin, and tobramycin pharmacokinetics were described in six, 11, and five models, respectively. A two-compartment model was used to describe amikacin and tobramycin pharmacokinetics, whereas a one-compartment model majorly described gentamicin pharmacokinetics. The most recurrent significant covariates were renal clearance and bodyweight. Across all aminoglycosides, mean interindividual variability in clearance and volume of distribution were 41.6% and 22.0%, respectively. A common consensus for an optimal dosing regimen for each aminoglycoside was not reached. Conclusions: This review showed models developed for amikacin, from 2015 until now, and for gentamicin and tobramycin from the past decades. Despite the growing challenges of external evaluation, the latter should be more considered during model development. Further research including new covariates, additional simulated dosing regimens, and external validation should be considered to better understand aminoglycoside pharmacokinetics in ICU patients.
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Affiliation(s)
- Alexandre Duong
- Faculté de Pharmacie, Université de Montréal, Montréal, QC H3T 1J4, Canada; (Y.L.W.); (D.W.); (A.M.)
- Laboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculté de Pharmacie, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Correspondence: ; Tel.: +1-514-343-6111
| | - Chantale Simard
- Faculté de Pharmacie, Université Laval, Québec, QC G1V 0A6, Canada;
- Centre de Recherche, Institut Universitaire de Cardiologie et Pneumologie de Québec, Québec, QC G1V 4G5, Canada
| | - Yi Le Wang
- Faculté de Pharmacie, Université de Montréal, Montréal, QC H3T 1J4, Canada; (Y.L.W.); (D.W.); (A.M.)
- Laboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculté de Pharmacie, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - David Williamson
- Faculté de Pharmacie, Université de Montréal, Montréal, QC H3T 1J4, Canada; (Y.L.W.); (D.W.); (A.M.)
- Hôpital Sacré-Cœur de Montréal, Montréal, QC H4J 1C5, Canada
| | - Amélie Marsot
- Faculté de Pharmacie, Université de Montréal, Montréal, QC H3T 1J4, Canada; (Y.L.W.); (D.W.); (A.M.)
- Laboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculté de Pharmacie, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Centre de Recherche, CHU Sainte Justine, Montréal, QC H3T 1C5, Canada
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25
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Nazer LH, AbuSara AK, Kamal Y. Augmented renal clearance in critically ill patients with cancer (ARCCAN Study): A prospective observational study evaluating prevalence and risk factors. Pharmacol Res Perspect 2021; 9:e00747. [PMID: 33694316 PMCID: PMC7947216 DOI: 10.1002/prp2.747] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 01/17/2021] [Accepted: 02/09/2021] [Indexed: 01/20/2023] Open
Abstract
Augmented renal clearance (ARC) is a phenomenon that has been associated with enhanced excretion of renally eliminated drugs, such as antimicrobials, which may result in subtherapeutic levels and potentially therapeutic failure. There has been limited data on ARC in critically ill patients with cancer. This study aimed to evaluate the prevalence of ARC and to identify risk factors associated with ARC in this patient population. This was a prospective study at an oncologic intensive care unit (ICU) which included adult patients with normal renal function, defined as serum creatinine ≤1 mg/dl and urine output >0.5 ml/kg/hr. The 24‐hour creatinine clearance (ClCr) study was used to determine ClCr, starting on day 1 of ICU admission, for 5 days or until ICU transfer or death. ARC was defined as ClCr >130 ml/min/1.73 m2. Univariate and multivariate logistic regression analyses were performed to identify risk factors for ARC. Over the study period, 363 patients were enrolled who completed an average of 2.8 ± 1.5(SD) days in the study and contributed 977 ClCr measurements. The mean age was 52 ± 16(SD) years old, the majority had solid tumors (n = 264, 73%), mean APACHE II was 21 ± 8(SD), and the major admission diagnosis was respiratory failure (n = 165, 45%). ARC was reported in 116 (32%) patients on at least one of the study days. Over the study period, the incidence of ARC ranged between 15.6% and 24.3%. Age was the only risk factor significantly associated with ARC (OR 1.028, 95% CI 1.005–1.051).
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Affiliation(s)
- Lama H Nazer
- Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan
| | - Aseel K AbuSara
- Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan
| | - Yasmeen Kamal
- Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan
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26
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Kawaguchi N, Katsube T, Echols R, Wajima T. Population Pharmacokinetic and Pharmacokinetic/Pharmacodynamic Analyses of Cefiderocol, a Parenteral Siderophore Cephalosporin, in Patients with Pneumonia, Bloodstream Infection/Sepsis, or Complicated Urinary Tract Infection. Antimicrob Agents Chemother 2021; 65:e01437-20. [PMID: 33257454 PMCID: PMC8092503 DOI: 10.1128/aac.01437-20] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022] Open
Abstract
Cefiderocol is a novel siderophore cephalosporin with antibacterial activity against Gram-negative bacteria, including carbapenem-resistant strains. The standard dosing regimen of cefiderocol is 2 g administered every 8 hours over 3 hours infusion in patients with creatinine clearance (CrCL) of 60 to 119 ml/min, and it is adjusted for patients with <60 ml/min or ≥120 ml/min CrCL. A population pharmacokinetic (PK) model was constructed using 3,427 plasma concentrations from 91 uninfected subjects and 425 infected patients with pneumonia, bloodstream infection/sepsis (BSI/sepsis), and complicated urinary tract infection (cUTI). Plasma cefiderocol concentrations were adequately described by the population PK model, and CrCL was the most significant covariate. No other factors, including infection sites and mechanical ventilation, were clinically relevant, although the effect of infection sites was identified as a statistically significant covariate in the population PK analysis. No clear pharmacokinetic/pharmacodynamic relationship was found for any of the microbiological outcome, clinical outcome, or vital status. This is because the estimated percentage of time for which free plasma concentrations exceed the minimum inhibitory concentration (MIC) over dosing interval (%fT>MIC) was 100% in most of the enrolled patients. The probability of target attainment (PTA) for 100% fT>MIC was >90% against MICs of ≤4 μg/ml for all infection sites and renal function groups except for BSI/sepsis patients with normal renal function (85%). These study results support adequate plasma exposure can be achieved at the cefiderocol recommended dosing regimen for the infected patients, including the patients with augmented renal function, ventilation, and/or severe illness.
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Affiliation(s)
- Nao Kawaguchi
- Clinical Pharmacology & Pharmacokinetics, Shionogi & Co., Ltd., Osaka, Japan
| | - Takayuki Katsube
- Clinical Pharmacology & Pharmacokinetics, Shionogi & Co., Ltd., Osaka, Japan
| | - Roger Echols
- Infectious Disease Drug Development Consulting, LLC, Easton, Connecticut, USA
| | - Toshihiro Wajima
- Clinical Pharmacology & Pharmacokinetics, Shionogi & Co., Ltd., Osaka, Japan
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27
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Egi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada T, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, et alEgi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada T, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, Yamada H, Yamamoto R, Yoshida T, Yoshida Y, Yoshimura J, Yotsumoto R, Yonekura H, Wada T, Watanabe E, Aoki M, Asai H, Abe T, Igarashi Y, Iguchi N, Ishikawa M, Ishimaru G, Isokawa S, Itakura R, Imahase H, Imura H, Irinoda T, Uehara K, Ushio N, Umegaki T, Egawa Y, Enomoto Y, Ota K, Ohchi Y, Ohno T, Ohbe H, Oka K, Okada N, Okada Y, Okano H, Okamoto J, Okuda H, Ogura T, Onodera Y, Oyama Y, Kainuma M, Kako E, Kashiura M, Kato H, Kanaya A, Kaneko T, Kanehata K, Kano K, Kawano H, Kikutani K, Kikuchi H, Kido T, Kimura S, Koami H, Kobashi D, Saiki I, Sakai M, Sakamoto A, Sato T, Shiga Y, Shimoto M, Shimoyama S, Shoko T, Sugawara Y, Sugita A, Suzuki S, Suzuki Y, Suhara T, Sonota K, Takauji S, Takashima K, Takahashi S, Takahashi Y, Takeshita J, Tanaka Y, Tampo A, Tsunoyama T, Tetsuhara K, Tokunaga K, Tomioka Y, Tomita K, Tominaga N, Toyosaki M, Toyoda Y, Naito H, Nagata I, Nagato T, Nakamura Y, Nakamori Y, Nahara I, Naraba H, Narita C, Nishioka N, Nishimura T, Nishiyama K, Nomura T, Haga T, Hagiwara Y, Hashimoto K, Hatachi T, Hamasaki T, Hayashi T, Hayashi M, Hayamizu A, Haraguchi G, Hirano Y, Fujii R, Fujita M, Fujimura N, Funakoshi H, Horiguchi M, Maki J, Masunaga N, Matsumura Y, Mayumi T, Minami K, Miyazaki Y, Miyamoto K, Murata T, Yanai M, Yano T, Yamada K, Yamada N, Yamamoto T, Yoshihiro S, Tanaka H, Nishida O. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020). Acute Med Surg 2021; 8:e659. [PMID: 34484801 PMCID: PMC8390911 DOI: 10.1002/ams2.659] [Show More Authors] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created as revised from J-SSCG 2016 jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in September 2020 and published in February 2021. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. The purpose of this guideline is to assist medical staff in making appropriate decisions to improve the prognosis of patients undergoing treatment for sepsis and septic shock. We aimed to provide high-quality guidelines that are easy to use and understand for specialists, general clinicians, and multidisciplinary medical professionals. J-SSCG 2016 took up new subjects that were not present in SSCG 2016 (e.g., ICU-acquired weakness [ICU-AW], post-intensive care syndrome [PICS], and body temperature management). The J-SSCG 2020 covered a total of 22 areas with four additional new areas (patient- and family-centered care, sepsis treatment system, neuro-intensive treatment, and stress ulcers). A total of 118 important clinical issues (clinical questions, CQs) were extracted regardless of the presence or absence of evidence. These CQs also include those that have been given particular focus within Japan. This is a large-scale guideline covering multiple fields; thus, in addition to the 25 committee members, we had the participation and support of a total of 226 members who are professionals (physicians, nurses, physiotherapists, clinical engineers, and pharmacists) and medical workers with a history of sepsis or critical illness. The GRADE method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members. As a result, 79 GRADE-based recommendations, 5 Good Practice Statements (GPS), 18 expert consensuses, 27 answers to background questions (BQs), and summaries of definitions and diagnosis of sepsis were created as responses to 118 CQs. We also incorporated visual information for each CQ according to the time course of treatment, and we will also distribute this as an app. The J-SSCG 2020 is expected to be widely used as a useful bedside guideline in the field of sepsis treatment both in Japan and overseas involving multiple disciplines.
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Li L, Guan Z, Li R, Zhao W, Hao G, Yan Y, Xu Y, Liao L, Wang H, Gao L, Wu K, Gao Y, Li Y. Population pharmacokinetics and dosing optimization of metformin in Chinese patients with type 2 diabetes mellitus. Medicine (Baltimore) 2020; 99:e23212. [PMID: 33181704 PMCID: PMC7668473 DOI: 10.1097/md.0000000000023212] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Approximately 35% of patients fail to attain ideal initial blood glucose control under metformin monotherapy. The objective of this observational study is to simulate the optimal protocol of metformin according to the different renal function.The population pharmacokinetics of metformin was performed in 125 subjects with type 2 diabetes mellitus. Plasma concentrations of metformin were quantified by high-performance liquid chromatography. A population pharmacokinetic model of metformin was developed using NONMEN (version 7.2, Icon Development Solutions, USA). Monte Carlo simulation was used to simulate the concentration-time profiles for doses of metformin for 1000 times at different stages of renal function.The mean population pharmacokinetic parameters were apparent clearance 53.0 L/h, apparent volume of distribution 438 L, absorption rate constant 1.4 hour and lag-time 0.91 hour. Covariate analyses revealed that estimated glomerular filtration rate (eGFR) and bodyweight as individual factors influencing the apparent oral clearance: CL/F = 53.0 × ( bodyweight/75) × (eGFR/102.5)EXP(0.1797). The results of the simulation showed that patients should be prescribed metformin 2550 mg/d (t.i.d.) vs 3000 mg/d (b.i.d.) as the minimum doses for patients with augmented renal clearance.eGFR had a significant impact on metformin pharmacokinetics. Patients administered metformin twice a day require higher total daily doses than those with a regimen of 3 times a day at each stage of kidney function.
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Affiliation(s)
- Ling Li
- School of Pharmaceutical Sciences, Shandong University
| | - Ziwan Guan
- School of Pharmaceutical Sciences, Shandong University
| | - Rui Li
- School of Pharmaceutical Sciences, Shandong University
| | - Wei Zhao
- School of Pharmaceutical Sciences, Shandong University
| | - Guoxiang Hao
- School of Pharmaceutical Sciences, Shandong University
| | - Yan Yan
- School of Pharmaceutical Sciences, Shandong University
| | - Yuedong Xu
- Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan
| | - Lin Liao
- Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan
| | - Huanjun Wang
- Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan
| | - Li Gao
- School of Pharmaceutical Sciences, Shandong University
- Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan
| | - Kunrong Wu
- School of Pharmaceutical Sciences, Shandong University
| | - Yuxia Gao
- Department of Pharmacy, Shengli Hospital of Shengli Oilfield, Dongying, Shandong, China
| | - Yan Li
- School of Pharmaceutical Sciences, Shandong University
- Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, Jinan
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29
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Dhont E, Van Der Heggen T, De Jaeger A, Vande Walle J, De Paepe P, De Cock PA. Augmented renal clearance in pediatric intensive care: are we undertreating our sickest patients? Pediatr Nephrol 2020; 35:25-39. [PMID: 30374606 DOI: 10.1007/s00467-018-4120-2] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 10/04/2018] [Accepted: 10/16/2018] [Indexed: 10/28/2022]
Abstract
Many critically ill patients display a supraphysiological renal function with enhanced renal perfusion and glomerular hyperfiltration. This phenomenon described as augmented renal clearance (ARC) may result in enhanced drug elimination through renal excretion mechanisms. Augmented renal clearance seems to be triggered by systemic inflammation and therapeutic interventions in intensive care. There is growing evidence that ARC is not restricted to the adult intensive care population, but is also prevalent in critically ill children. Augmented renal clearance is often overlooked due to the lack of reliable methods to assess renal function in critically ill children. Standard equations to calculate glomerular filtration rate (GFR) are developed for patients who have a steady-state creatinine production and a stable renal function. Those formulas are not reliable in critically ill patients with acutely changing GFR and tend to underestimate true GFR in patients with ARC. Tools for real-time, continuous, and non-invasive measurement of fluctuating GFR are most needed to identify changes in kidney function during critical illness and therapeutic interventions. Such devices are currently being validated and hold a strong potential to become the standard of practice. In the meantime, urinary creatinine clearance is considered the most reliable method to detect ARC in critically ill patients. Augmented renal clearance is clearly associated with subtherapeutic antimicrobial concentrations and subsequent therapeutic failure. This warrants the need for adjusted dosing regimens to optimize pharmacokinetic and pharmacodynamic target attainment. This review aims to summarize current knowledge on ARC in critically ill children, to give insight into its possible pathophysiological mechanism, to evaluate screening methods for ARC in the pediatric intensive care population, and to illustrate the effect of ARC on drug exposure, therapeutic efficacy, and clinical outcome.
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Affiliation(s)
- Evelyn Dhont
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium. .,Pediatric Intensive Care 1K12D, Ghent University Hospital, Heymanslaan 10, 9000, Ghent, Belgium.
| | | | - Annick De Jaeger
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium
| | - Johan Vande Walle
- Department of Pediatrics, Ghent University Hospital, Ghent, Belgium.,Department of Pediatric Nephrology, Ghent University Hospital, Ghent, Belgium
| | - Peter De Paepe
- Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium
| | - Pieter A De Cock
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium.,Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium.,Department of Pharmacy, Ghent University Hospital, Ghent, Belgium
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30
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Wu CC, Tai CH, Liao WY, Wang CC, Kuo CH, Lin SW, Ku SC. Augmented renal clearance is associated with inadequate antibiotic pharmacokinetic/pharmacodynamic target in Asian ICU population: a prospective observational study. Infect Drug Resist 2019; 12:2531-2541. [PMID: 31496765 PMCID: PMC6701640 DOI: 10.2147/idr.s213183] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 07/16/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Augmented renal clearance (ARC) is common in critically ill patients and could result in subtherapeutic antibiotic concentration. However, data in the Asian population are still lacking. The aim of this study was to explore the incidence and risk factors of ARC and its effect on β-lactam pharmacokinetics/pharmacodynamics (PK/PD) in Asian populations admitted to a medical ICU. In addition, we evaluated the appropriateness of using three estimated glomerular filtration (eGFR) formulas [Cockcroft-Gault (CG), Modification of Diet in Renal Disease (MDRD), and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)] as screening tools. METHODS We measured 2-, 8-, and 24-hr creatinine clearance (CLCr) and calculated eGFR by using three formulas for each. ARC was defined as CLCr24hr >130 mL/min/1.73 m2. Concentrations at the mid-dosing interval and prior to the next dose were collected if patients received the β-lactam antibiotic of piperacillin/tazobactam, cefepime, and meropenem, to determine the PK/PD index of fT > MIC. Multiple logistic regression analysis was conducted to identify the risk factors for ARC. Pearson correlation coefficient and the Bland and Altman method were applied to assess the accuracy of CLCr2hr, CLCr8hr, and eGFR for predicting ARC. RESULTS Of 100 patients, 46 (46%) manifested ARC. Younger age (<50 years) and lower Sequential Organ Failure Assessment score increased the likelihood of ARC. ARC resulted in a low chance of achieving 50% fT >4MIC (33% vs 75%, p<0.01), 100% fT > MIC (23% vs 69%, p<0.01), and 100% fT >4MIC (3% vs 25%, p<0.02). CLCr8hr wielded the best correlation and agreement with CLCr24hr. eGFRCG was the most appropriate screening tool, and the optimal cutoff value for detecting ARC was 130.5 mL/min/1.73 m2. CONCLUSION ARC is associated with inadequate β-lactam PK/PD target in Asian ICU.
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Affiliation(s)
- Chien-Chih Wu
- Department of Pharmacy, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chih-Hsun Tai
- Department of Pharmacy, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-You Liao
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chi-Chuan Wang
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shu-Wen Lin
- Department of Pharmacy, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shih-Chi Ku
- Division of Chest Medicine, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
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31
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Van Der Heggen T, Dhont E, Peperstraete H, Delanghe JR, Vande Walle J, De Paepe P, De Cock PA. Augmented renal clearance: a common condition in critically ill children. Pediatr Nephrol 2019; 34:1099-1106. [PMID: 30778827 DOI: 10.1007/s00467-019-04205-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 01/20/2019] [Accepted: 01/21/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND Augmented renal clearance (ARC), an increase in kidney function with enhanced elimination of circulating solute, has been increasingly recognized in critically ill adults. In a pediatric intensive care setting, data are scarce. The primary objective of this study was to investigate the prevalence of ARC in critically ill children. Secondary objectives included a risk factor analysis for the development of ARC and a comparison of two methods for assessment of renal function. METHODS In 105 critically ill children between 1 month and 15 years of age, glomerular filtration rate (GFR) was measured by means of a daily 24-h creatinine clearance (24 h ClCr) and compared to an estimated GFR using the revised Schwartz formula. Logistic regression analysis was used to identify risk factors for ARC. RESULTS Overall, 67% of patients expressed ARC and the proportion of ARC patients decreased during consecutive days. ARC patients had a median ClCr of 142.2 ml/min/1.73m2 (IQR 47.1). Male gender and antibiotic treatment were independently associated with the occurrence of ARC. The revised Schwartz formula seems less appropriate for ARC detection. CONCLUSIONS A large proportion of critically ill children develop ARC during their stay at the intensive care unit. Clinicians should be cautious when using Schwartz formula to detect ARC. Our findings require confirmation from large study cohorts and investigation of the relationship with clinical outcome.
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Affiliation(s)
- Tatjana Van Der Heggen
- Department of Pediatrics, Ghent University Hospital, 3K12D, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
- Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium.
| | - Evelyn Dhont
- Department of Pediatrics, Ghent University Hospital, 3K12D, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium
| | | | - Joris R Delanghe
- Department of Laboratory Medicine, Ghent University, Ghent, Belgium
| | - Johan Vande Walle
- Department of Pediatrics, Ghent University Hospital, 3K12D, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Peter De Paepe
- Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium
- Department of Pharmacy, Ghent University Hospital, Ghent, Belgium
| | - Pieter A De Cock
- Heymans Institute of Pharmacology, Ghent University, Ghent, Belgium
- Department of Pediatric Intensive Care, Ghent University Hospital, Ghent, Belgium
- Department of Pharmacy, Ghent University Hospital, Ghent, Belgium
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32
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Baptista JP, Martins PJ, Marques M, Pimentel JM. Prevalence and Risk Factors for Augmented Renal Clearance in a Population of Critically Ill Patients. J Intensive Care Med 2018; 35:1044-1052. [PMID: 30373438 DOI: 10.1177/0885066618809688] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Critically ill patients show a high, albeit variable, prevalence of augmented renal clearance (ARC). This condition has relevant consequences on the elimination of hydrophilic drugs. Knowledge of risk factors for ARC helps in the early identification of ARC. The aims of this study were evaluation of (1) risk factors for ARC and (2) the prevalence of ARC in critically ill patients over a period of 1 year. METHODS A retrospective cohort study was performed for all consecutive patients admitted to our intensive care unit (ICU). Augmented renal clearance was defined by a creatinine clearance ≥130 mL/min/1.73 m2. "Patient with ARC" was defined as a patient with a median of creatinine clearance ≥130 mL/min/1.73 m2 over the period of admission. Four variables were tested, Simplified Acute Physiology Score II (SAPS II), male gender, age, and trauma as cause for ICU admission. An analysis (patient based and clearance based) was performed with logistic regression. RESULTS Of 475 patients, 446 were included in this study, contributing to 454 ICU admissions and 5586 8-hour creatinine clearance (8h-CLCR). Overall, the prevalence of patients with ARC was 24.9% (n = 113). In a subset of patients with normal serum creatinine levels, the prevalence was 43.0% (n = 104). Of the set of all 8h-CLCR measurements, 25.4% (1418) showed ARC. In the patient-based analysis, the adjusted odds ratio was: 2.0 (confidence interval [CI]:1.1-3.7; P < .05), 0.93 (CI: 0.91-0.94; P < .01), 2.7 (CI: 1.4-5.3; P < .01), and 0.98 (CI: 0.96 -1.01; P = .15), respectively, for trauma, age, male sex, and SAPS II. In the clearance-based analysis, the adjusted odds ratio were 1.7 (CI: 1.4-1.9; P < .01), 0.94 (CI: 0.932-0.942; P < .01), and 2.9 (CI: 2.4-3.4; P < .01), respectively, for trauma, age, and male sex. CONCLUSIONS Trauma, young age, and male sex were independent risk factors for ARC. This condition occurs in a considerable proportion of critical care patients, which was particularly prevalent in patients without evidence of renal dysfunction.
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Affiliation(s)
- João Pedro Baptista
- Department of Intensive Care, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - Paulo Jorge Martins
- Department of Intensive Care, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - Margarida Marques
- Department of Statistics, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - Jorge Manuel Pimentel
- Department of Intensive Care, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
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Abstract
Adding to the complexity of caring for critically ill patients is the fact that many of them have a creatinine clearance that exceeds 130 mL/min/1.73 m2. This phenomenon, termed augmented renal clearance (ARC), has only recently been widely recognized and its pathogenesis remains incompletely understood. However, ARC has been shown to result in increased dose requirements for drugs that are primarily eliminated by renal excretion, including many antimicrobial agents and enoxaparin. Recognition of ARC is hampered by the fact that the standard creatinine-based equations used to estimate renal function are not accurate in this clinical setting and the diagnosis is best established using both serum and urine creatinine measurements to calculate clearance. So a high index of clinical suspicion and awareness is usually required before this step is taken to confirm the diagnosis of ARC.
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Affiliation(s)
- Arthur J Atkinson
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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Bilbao-Meseguer I, Rodríguez-Gascón A, Barrasa H, Isla A, Solinís MÁ. Augmented Renal Clearance in Critically Ill Patients: A Systematic Review. Clin Pharmacokinet 2018; 57:1107-1121. [PMID: 29441476 DOI: 10.1007/s40262-018-0636-7] [Citation(s) in RCA: 155] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND Traditionally, renal function in critically ill patients has been assessed to identify renal dysfunction, and dose adjustment is generally accepted in such a context. Nevertheless, augmented renal clearance (ARC) is a less well-studied phenomenon that could lead to faster elimination of drugs, resulting in subtherapeutic concentrations and poorer clinical outcomes when standard dosage guidelines are followed. OBJECTIVE The aim of this systematic review was to gather and summarise all the available evidence on ARC in critically ill patients, including its definition, underlying mechanisms, epidemiology, diagnosis and impact on both drug pharmacokinetics and clinical outcomes. METHOD A systematic review was conducted to include all the original studies that provided information on ARC in critically ill patients, and is reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS Augmented renal clearance, defined as a creatinine clearance (CrCl) > 130 mL/min/1.73 m2, preferably measured in urine, is present in 20-65% of critically ill patients. Younger age, polytrauma and lower severity illness have been identified as risk factors. An influence of ARC on antimicrobial pharmacokinetics has been observed, with ARC consistently being associated with subtherapeutic antibiotic plasma concentrations. CONCLUSION ARC is a prevalent condition in critically ill patients, especially in young people, with urinary CrCl being the best diagnostic method because mathematical estimates tend to underestimate CrCl. ARC increases renal drug elimination and has a clear influence on certain antimicrobial plasma levels, but is yet to define its impact on clinical outcomes and on pharmacokinetics of other types of drugs. Research on the need to stage ARC and establish specific dosing guidelines is warranted.
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Affiliation(s)
- Idoia Bilbao-Meseguer
- Department of Pharmacy, Cruces University Hospital, Plaza de Cruces 12, 48903, Barakaldo, Bizkaia, Spain
| | - Alicia Rodríguez-Gascón
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Lascaray Research Center, University of the Basque Country UPV/EHU, Paseo de la Universidad, 7, 01006, Vitoria-Gasteiz, Spain
| | - Helena Barrasa
- Intensive Care Unit, University Hospital of Alava, c/ Olaguibel no 29, Vitoria-Gasteiz, Spain
| | - Arantxazu Isla
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Lascaray Research Center, University of the Basque Country UPV/EHU, Paseo de la Universidad, 7, 01006, Vitoria-Gasteiz, Spain.
| | - María Ángeles Solinís
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Lascaray Research Center, University of the Basque Country UPV/EHU, Paseo de la Universidad, 7, 01006, Vitoria-Gasteiz, Spain.
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β-Lactam Dosage Regimens in Septic Patients with Augmented Renal Clearance. Antimicrob Agents Chemother 2018; 62:AAC.02534-17. [PMID: 29987138 PMCID: PMC6125556 DOI: 10.1128/aac.02534-17] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 06/20/2018] [Indexed: 12/14/2022] Open
Abstract
Augmented renal clearance is commonly observed in septic patients and may result in insufficient β-lactam serum concentrations. The aims of this study were to evaluate potential correlations between drug concentrations or total body clearance of β-lactam antibiotics and measured creatinine clearance and to quantify the need for drug dosage adjustments in septic patients with different levels of augmented renal clearance. Augmented renal clearance is commonly observed in septic patients and may result in insufficient β-lactam serum concentrations. The aims of this study were to evaluate potential correlations between drug concentrations or total body clearance of β-lactam antibiotics and measured creatinine clearance and to quantify the need for drug dosage adjustments in septic patients with different levels of augmented renal clearance. We reviewed 256 antibiotic measurements (512 drug concentrations) from a cohort of 215 critically ill patients who had a measured creatinine clearance of ≥120 ml/min and who received therapeutic drug monitoring of meropenem, cefepime, ceftazidime, or piperacillin from October 2009 until December 2014 at Erasme Hospital. Population pharmacokinetic (PK) analysis of the data was performed using the Pmetrics software package for R. Fifty-five percent of drug concentrations showed insufficient β-lactam serum concentrations to treat infections due to Pseudomonas aeruginosa. There were significant, yet weak, correlations between measured creatinine clearance and trough concentrations of meropenem (r = −0.21, P = 0.01), trough concentrations of piperacillin (r = −0.28, P = 0.0071), concentrations at 50% of the dosage interval (r = −0.41, P < 0.0001), and total body clearance of piperacillin (r = 0.39, P = 0.0002). Measured creatinine clearance adequately explained changes in drug concentrations in population pharmacokinetic models for cefepime, ceftazidime, and meropenem but not for piperacillin. Therefore, specific PK modeling can predict certain β-lactam concentrations based on renal function but not on absolute values of measured creatinine clearance, easily available for clinicians. Currently, routine therapeutic drug monitoring is required to adjust daily regimens in critically ill patients receiving standard dosing regimens.
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Declercq P, Gijsen M, Meijers B, Schetz M, Nijs S, D'Hoore A, Wauters J, Spriet I. Reliability of serum creatinine-based formulae estimating renal function in non-critically ill surgery patients: Focus on augmented renal clearance. J Clin Pharm Ther 2018; 43:695-706. [PMID: 29733108 DOI: 10.1111/jcpt.12695] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 03/28/2018] [Indexed: 11/28/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVES Formulae estimating glomerular filtration rate (GFR) are frequently used to guide drug dosing. The objectives of this prospective single-center study were to evaluate agreement between these equations and measured creatinine clearance (CrCl) in non-critically ill surgery patients with normal kidney function and augmented renal clearance (ARC, CrCl ≥ 130 mL/min/1.73 m²), to determine predictors for disagreement, define a GFR estimator cut-off value identifying ARC and determine the ARC prevalence and duration in non-critically ill surgical patients. METHODS Hospitalized adult non-critically ill abdominal and trauma surgery patients were eligible for inclusion. Measured CrCl based on an 8-hour urinary collection (CrCl8h ) was used as the primary method for determining kidney function. Agreement between equations and measured CrCl8h was assessed in terms of precision, defined as a bias within ±10 mL/min/1.73 m². Predictors for disagreement were identified for the most precise estimator using an ordinal logistic regression model with negative bias, agreement and positive bias as outcome variables. A receiver operating characteristic (ROC) analysis was performed to identify an estimator cut-off predicting ARC, which was subsequently applied for the daily proportion of patients displaying ARC and ARC duration. RESULTS AND DISCUSSION During the study period (14/11/2013 - 13/05/2014), in 232 adult non-critically ill abdominal and trauma surgery patients, all estimators tend to underestimate CrCl8h (mean bias ranging from 17 to 22 mL/min/1.73 m²), especially in patients displaying ARC (mean bias ranging from 44 to 56 mL/min/1.73 m²). eGFRCKD-EPI performed the best. Younger age and low ASA score independently predicted underestimation of CrCl8h . Three different eGFRCKD-EPI cut-offs with decreasing sensitivity and increasing specificity (84, 95 and 112 mL/min/1.73 m²) identified, respectively, 65%, 44% and 14% patients displaying ARC. The median ARC duration was 4, 4 and 3 days, respectively. WHAT IS NEW AND CONCLUSION In surgical patients, eGFR frequently underestimates measured CrCl, especially in young patients with low ASA score. eGFR cut-offs predicting ARC were identified.
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Affiliation(s)
- Peter Declercq
- Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, Universitaire Ziekenhuizen Leuven, Leuven, Belgium
| | - Matthias Gijsen
- Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium
| | - Björn Meijers
- Division of Internal Medicine, Nephrology Unit, UZ Leuven and Department of Immunology and Microbiology, Universitaire Ziekenhuizen Leuven, Leuven, Belgium
| | - Marie Schetz
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, Universitaire Ziekenhuizen Leuven, Leuven, Belgium
| | - Stefaan Nijs
- Faculty of Medicine, Department of Traumatology, Universitaire Ziekenhuizen Leuven, Leuven, Belgium
| | - André D'Hoore
- Faculty of Medicine, Department of Abdominal Surgery, Universitaire Ziekenhuizen Leuven, Leuven, Belgium
| | - Joost Wauters
- Faculty of Medicine, Department of General Internal Medicine, Universitaire Ziekenhuizen Leuven, Leuven, Belgium
| | - Isabel Spriet
- Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, Universitaire Ziekenhuizen Leuven, Leuven, Belgium
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Augmented Renal Clearance in Patients With Febrile Neutropenia is Associated With Increased Risk for Subtherapeutic Concentrations of Vancomycin. Ther Drug Monit 2017; 38:706-710. [PMID: 27681114 DOI: 10.1097/ftd.0000000000000346] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND Augmented renal clearance (ARC) has frequently been observed in critically ill patients. The risk factors for ARC in patients, including those in the general ward, and their influences on vancomycin (VCM) treatment remain unclear. The aims of this study were to investigate the risk factors for ARC and to evaluate the influence of ARC on the pharmacokinetic parameters of VCM. METHODS This study included a total of 292 patients with VCM treatment who had normal serum creatinine concentrations. ARC was defined by an estimated creatinine clearance ≥130 mL·min·1.73 m. The risk factors for ARC were determined with stepwise logistic regression analysis. The pharmacokinetic parameters of VCM were estimated through the Bayesian method using a 2-compartment model. RESULTS ARC was observed in 48 patients (16.4%). Age ≤65 years [odds ratio (OR): 5.77; 95% CI: 2.89-11.97; P < 0.0001], brain injury (OR: 5.11; 95% CI: 1.49-17.57; P = 0.0086), febrile neutropenia (OR: 2.76; 95% CI: 1.11-6.67; P = 0.0254), and a mean volume of infusion fluid ≥1500 mL/d (OR: 2.53; 95% CI: 1.27-5.16; P = 0.0091) were independent risk factors for the occurrence of ARC. The patients with ARC exhibited higher VCM clearance values than the non-ARC patients. The median trough serum concentrations of VCM were 7.4 (interquartile range: 5.2-11.6) mcg/mL in the ARC patients and 12.2 (8.9-16.3) mcg/mL in the non-ARC patients (P < 0.0001). Subtherapeutic trough concentrations of VCM (<10.0 mcg/mL) were found in 68.8% of the ARC patients and in 32.8% of the non-ARC patients (P < 0.0001). CONCLUSIONS This observational study investigated the influence of febrile neutropenia on the emergency of ARC for the first time. ARC was strongly associated with VCM pharmacokinetics, and two-thirds of the ARC patients had subtherapeutic VCM concentrations. In patients with ARC, individualized dosing regimens are required to achieve the target trough concentration.
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Mahmoud SH, Shen C. Augmented Renal Clearance in Critical Illness: An Important Consideration in Drug Dosing. Pharmaceutics 2017; 9:E36. [PMID: 28926966 PMCID: PMC5620577 DOI: 10.3390/pharmaceutics9030036] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 09/12/2017] [Accepted: 09/14/2017] [Indexed: 12/16/2022] Open
Abstract
Augmented renal clearance (ARC) is a manifestation of enhanced renal function seen in critically ill patients. The use of regular unadjusted doses of renally eliminated drugs in patients with ARC might lead to therapy failure. The purpose of this scoping review was to provide and up-to-date summary of the available evidence pertaining to the phenomenon of ARC. A literature search of databases of available evidence in humans, with no language restriction, was conducted. Databases searched were MEDLINE (1946 to April 2017), EMBASE (1974 to April 2017) and the Cochrane Library (1999 to April 2017). A total of 57 records were included in the present review: 39 observational studies (25 prospective, 14 retrospective), 6 case reports/series and 12 conference abstracts. ARC has been reported to range from 14-80%. ARC is currently defined as an increased creatinine clearance of greater than 130 mL/min/1.73 m² best measured by 8-24 h urine collection. Patients exhibiting ARC tend to be younger (<50 years old), of male gender, had a recent history of trauma, and had lower critical illness severity scores. Numerous studies have reported antimicrobials treatment failures when using standard dosing regimens in patients with ARC. In conclusion, ARC is an important phenomenon that might have significant impact on outcome in critically ill patients. Identifying patients at risk, using higher doses of renally eliminated drugs or use of non-renally eliminated alternatives might need to be considered in ICU patients with ARC. More research is needed to solidify dosing recommendations of various drugs in patients with ARC.
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Affiliation(s)
- Sherif Hanafy Mahmoud
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB T6G 1C9, Canada.
| | - Chen Shen
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB T6G 1C9, Canada.
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O'Sullivan ED, Doyle A. The clinical utility of kinetic glomerular filtration rate. Clin Kidney J 2017; 10:202-208. [PMID: 28396736 PMCID: PMC5381236 DOI: 10.1093/ckj/sfw108] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 09/27/2016] [Indexed: 01/12/2023] Open
Abstract
Background: In acutely unwell patients with rapidly changing renal function, estimating glomerular filtration rate (GFR) and predicting adverse renal outcomes are challenging and often inaccurate. Kinetic GFR (kGFR) is an estimate of immediate biomarker clearance derived from two discreet measurements that may better represent acute function. Our objective is to assess the clinical utility of kGFR as a predictive tool and examine the association of kGFR to adverse renal outcomes compared with measurements to traditional estimates. Methods: We compared the association of kGFR and Modification of Diet in Renal Disease (MDRD) with acute kidney injury (AKI), renal replacement therapy (RRT), cardiovascular morbidity, 30-day mortality and new chronic kidney disease development. A total of 107 acute admissions to a medical high dependency and intensive care unit were assessed retrospectively. Creatinine measurements and outcomes were recorded and kGFR was calculated at the earliest possible time point. This was then compared with simultaneous MDRD estimated GFR. Results: Mean age was 60 years old, AKI occurred in 25% of patients, acute cardiovascular events occurred in 13%, RRT was initiated in 15% and 30-day mortality was 30%. kGFR predicted the AKI more accurately than MDRD [area under the receiver operating characteristic curve (AUC) = 0.86 versus AUC = 0.64]. kGFR predicted the need for RRT more accurately than MDRD (AUC = 0.901 versus AUC = 0.79). Neither kGFR nor admission MDRD was associated with 30-day mortality or cardiovascular morbidity. Conclusions: Measuring kGFR in the acute setting could help clinicians better predict adverse renal outcomes.
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Affiliation(s)
- Eoin D O'Sullivan
- Department of Renal Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Arthur Doyle
- Queen Margaret Hospital, Renal Unit, Dunfermline, UK
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Udy AA, Dulhunty JM, Roberts JA, Davis JS, Webb SAR, Bellomo R, Gomersall C, Shirwadkar C, Eastwood GM, Myburgh J, Paterson DL, Starr T, Paul SK, Lipman J. Association between augmented renal clearance and clinical outcomes in patients receiving β-lactam antibiotic therapy by continuous or intermittent infusion: a nested cohort study of the BLING-II randomised, placebo-controlled, clinical trial. Int J Antimicrob Agents 2017; 49:624-630. [PMID: 28286115 DOI: 10.1016/j.ijantimicag.2016.12.022] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 12/27/2016] [Indexed: 12/29/2022]
Abstract
Augmented renal clearance (ARC) is known to influence β-lactam antibiotic pharmacokinetics. This substudy of the BLING-II trial aimed to explore the association between ARC and patient outcomes in a large randomised clinical trial. BLING-II enrolled 432 participants with severe sepsis randomised to receive β-lactam therapy by continuous or intermittent infusion. An 8-h creatinine clearance (CLCr) measured on Day 1 was used to identify ARC, defined as CLCr ≥ 130 mL/min. Patients receiving any form of renal replacement therapy were excluded. Primary outcome was alive ICU-free days at Day 28. Secondary outcomes included 90-day mortality and clinical cure at 14 days following antibiotic cessation. A total of 254 patients were included, among which 45 (17.7%) manifested ARC [median (IQR) CLCr 165 (144-198) mL/min]. ARC patients were younger (P <0.001), more commonly male (P = 0.04) and had less organ dysfunction (P <0.001). There was no difference in ICU-free days at Day 28 [ARC, 21 (12-24) days; no ARC, 21 (11-25) days; P = 0.89], although clinical cure was significantly greater in the unadjusted analysis in those manifesting ARC [33/45 (73.3%) vs. 115/209 (55.0%) P = 0.02]. This was attenuated in the multivariable analysis. No difference was noted in 90-day mortality. There were no statistically significant differences in clinical outcomes in ARC patients according to the dosing strategy employed. In this substudy of a large clinical trial of β-lactam antibiotics in severe sepsis, ARC was not associated with any differences in outcomes, regardless of dosing strategy.
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Affiliation(s)
- Andrew A Udy
- Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, VIC, Australia; Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Joel M Dulhunty
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia; Burns, Trauma & Critical Care Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Jason A Roberts
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia; Burns, Trauma & Critical Care Research Centre, The University of Queensland, Brisbane, QLD, Australia; Pharmacy Department, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Joshua S Davis
- Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia; Department of Infectious Diseases, John Hunter Hospital, Newcastle, NSW, Australia
| | - Steven A R Webb
- Department of Intensive Care, Royal Perth Hospital, Perth, WA, Australia; School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | - Rinaldo Bellomo
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia
| | - Charles Gomersall
- Prince of Wales Hospital, Hong Kong SAR; Chinese University of Hong Kong, Hong Kong SAR
| | | | - Glenn M Eastwood
- Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia
| | - John Myburgh
- Critical Care and Trauma Division, The George Institute for Global Health, Sydney, NSW, Australia; St George Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - David L Paterson
- Infectious Diseases Unit, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia; The University of Queensland Centre for Clinical Research, Brisbane, QLD, Australia
| | - Therese Starr
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia; Burns, Trauma & Critical Care Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Sanjoy K Paul
- Clinical Trials and Biostatistics Unit, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jeffrey Lipman
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia; Burns, Trauma & Critical Care Research Centre, The University of Queensland, Brisbane, QLD, Australia
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Chu Y, Luo Y, Qu L, Zhao C, Jiang M. Application of vancomycin in patients with varying renal function, especially those with augmented renal clearance. PHARMACEUTICAL BIOLOGY 2016; 54:2802-2806. [PMID: 27251880 DOI: 10.1080/13880209.2016.1183684] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 04/23/2016] [Indexed: 06/05/2023]
Abstract
CONTEXT Augmented renal clearance (ARC) refers to enhanced renal elimination of circulating solute, and has attracted wide attention in recent years. OBJECTIVE This study evaluates the effects of ARC on serum vancomycin concentration in patients administered vancomycin. MATERIALS AND METHODS This was a retrospective study in patients receiving vancomycin treatment at a dose of 1000 mg in every 12 h and undergoing serum monitoring admitted over a 2-year period (May 2013 to May 2015), in order to estimate the influence of ARC on serum vancomycin concentration. In this study, statistical comparisons were made on the results from patients grouped according to creatinine clearance (CLcr). RESULTS One hundred forty-eight patients were enrolled in our study. The results showed that ARC patients were significantly younger, with a significantly lower Scr and higher GFR. The CLcr and steady-state trough concentrations of serum vancomycin exhibited a logarithmic correlation (Rs = -0.699, R2 = 0.488, p < 0.01) in the patients included in our study. The trough vancomycin concentrations of 62.9% patients in high CLcr group were under 10 μg/mL. DISCUSSION AND CONCLUSION Since ARC was significantly associated with subtherapeutic serum vancomycin concentration, it was necessary to devise adjusted dosage regimens for these patients based on their CLcr.
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Affiliation(s)
- Yang Chu
- a Department of Pharmacy , the First Affiliated Hospital of China Medical University , Shenyang , China
- b Department of the First Clinical Pharmacy , China Medical University , Shenyang , China
| | - Yifan Luo
- a Department of Pharmacy , the First Affiliated Hospital of China Medical University , Shenyang , China
- b Department of the First Clinical Pharmacy , China Medical University , Shenyang , China
| | - Lianyue Qu
- a Department of Pharmacy , the First Affiliated Hospital of China Medical University , Shenyang , China
- b Department of the First Clinical Pharmacy , China Medical University , Shenyang , China
| | - Chunyang Zhao
- a Department of Pharmacy , the First Affiliated Hospital of China Medical University , Shenyang , China
- b Department of the First Clinical Pharmacy , China Medical University , Shenyang , China
| | - Mingyan Jiang
- a Department of Pharmacy , the First Affiliated Hospital of China Medical University , Shenyang , China
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Augmented renal clearance in non–critically ill abdominal and trauma surgery patients is an underestimated phenomenon. J Trauma Acute Care Surg 2016; 81:468-77. [DOI: 10.1097/ta.0000000000001138] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Effect of Obesity on the Population Pharmacokinetics of Meropenem in Critically Ill Patients. Antimicrob Agents Chemother 2016; 60:4577-84. [PMID: 27185798 DOI: 10.1128/aac.00531-16] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 05/07/2016] [Indexed: 02/04/2023] Open
Abstract
Severe pathophysiological changes in critical illness can lead to dramatically altered antimicrobial pharmacokinetics (PK). The additional effect of obesity on PK potentially increases the challenge for effective dosing. The aim of this prospective study was to describe the population PK of meropenem for a cohort of critically ill patients, including obese and morbidly obese patients. Critically ill patients prescribed meropenem were recruited into the following three body mass index (BMI) groups: nonobese (18.5 to 29.9 kg/m(2)), obese (30.0 to 39.9 kg/m(2)), and morbidly obese (≥40 kg/m(2)). Serial plasma samples were taken, and meropenem concentrations were determined using a validated chromatographic method. Population PK analysis and Monte Carlo dosing simulations were undertaken with Pmetrics. Nineteen critically ill patients with different BMI categories were enrolled. The patients' mean ± standard deviation (SD) age, weight, and BMI were 49 ± 15.9 years, 95 ± 22.0 kg, and 33 ± 7.0 kg/m(2), respectively. A two-compartment model described the data adequately. The mean ± SD parameter estimates for the final covariate model were as follows: clearance (CL), 15.5 ± 6.0 liters/h; volume of distribution in the central compartment (V1), 11.7 ± 5.8 liters; intercompartmental clearance from the central compartment to the peripheral compartment, 25.6 ± 35.1 liters h(-1); and intercompartmental clearance from the peripheral compartment to the central compartment, 8.32 ± 12.24 liters h(-1) Higher creatinine clearance (CLCR) was associated with a lower probability of target attainment, with BMI having little effect. Although obesity was found to be associated with an increased V1, dose adjustment based on CLCR appears to be more important than patient BMI.
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Augmented Renal Clearance in Pediatric Patients With Febrile Neutropenia Associated With Vancomycin Clearance. Ther Drug Monit 2016; 38:393-7. [DOI: 10.1097/ftd.0000000000000270] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Hobbs ALV, Shea KM, Roberts KM, Daley MJ. Implications of Augmented Renal Clearance on Drug Dosing in Critically Ill Patients: A Focus on Antibiotics. Pharmacotherapy 2015; 35:1063-75. [DOI: 10.1002/phar.1653] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Athena L. V. Hobbs
- Department of Pharmacy; Baptist Memorial Hospital - Memphis; Memphis Tennessee
| | | | - Kirsten M. Roberts
- Department of Pharmacy; Northwestern Memorial Hospital; Chicago Illinois
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Campassi ML, Gonzalez MC, Masevicius FD, Vazquez AR, Moseinco M, Navarro NC, Previgliano L, Rubatto NP, Benites MH, Estenssoro E, Dubin A. [Augmented renal clearance in critically ill patients: incidence, associated factors and effects on vancomycin treatment]. Rev Bras Ter Intensiva 2015; 26:13-20. [PMID: 24770684 PMCID: PMC4031886 DOI: 10.5935/0103-507x.20140003] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2013] [Accepted: 02/25/2014] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE An augmented renal clearance has been described in some groups of critically ill patients, and it might induce sub-optimal concentrations of drugs eliminated by glomerular filtration, mainly antibiotics. Studies on its occurrence and determinants are lacking. Our goals were to determine the incidence and associated factors of augmented renal clearance and the effects on vancomycin concentrations and dosing in a series of intensive care unit patients. METHODS We prospectively studied 363 patients admitted during 1 year to a clinical-surgical intensive care unit. Patients with serum creatinine >1.3 mg/dL were excluded. Creatinine clearance was calculated from a 24-hour urine collection. Patients were grouped according to the presence of augmented renal clearance (creatinine clearance >120 mL/min/1.73 m²), and possible risk factors were analyzed with bivariate and logistic regression analysis. In patients treated with vancomycin, dosage and plasma concentrations were registered. RESULTS Augmented renal clearance was present in 103 patients (28%); they were younger (48±15 versus 65±17 years, p<0.0001), had more frequent obstetric (16 versus 7%, p=0.0006) and trauma admissions (10 versus 3%, p=0.016) and fewer comorbidities. The only independent determinants for the development of augmented renal clearance were age (OR 0.95; p<0.0001; 95%CI 0.93-0.96) and absence of diabetes (OR 0.34; p=0.03; 95%CI 0.12-0.92). Twelve of the 46 patients who received vancomycin had augmented renal clearance and despite higher doses, had lower concentrations. CONCLUSIONS In this cohort of critically ill patients, augmented renal clearance was a common finding. Age and absence of diabetes were the only independent determinants. Therefore, younger and previously healthy patients might require larger vancomycin dosing.
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Affiliation(s)
- María Luz Campassi
- Serviço de Terapia Intensiva, Sanatorio Otamendi y Miroli, Buenos Aires, Argentina
| | | | | | | | - Miriam Moseinco
- Serviço de Terapia Intensiva, Sanatorio Otamendi y Miroli, Buenos Aires, Argentina
| | | | - Luciana Previgliano
- Serviço de Terapia Intensiva, Sanatorio Otamendi y Miroli, Buenos Aires, Argentina
| | - Nahuel Paolo Rubatto
- Serviço de Terapia Intensiva, Sanatorio Otamendi y Miroli, Buenos Aires, Argentina
| | | | - Elisa Estenssoro
- Serviço de Terapia Intensiva, Hospital General de Agudos "General San Martín", La Plata, Argentina
| | - Arnaldo Dubin
- Serviço de Terapia Intensiva, Sanatorio Otamendi y Miroli, Buenos Aires, Argentina
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Sime FB, Udy AA, Roberts JA. Augmented renal clearance in critically ill patients: etiology, definition and implications for beta-lactam dose optimization. Curr Opin Pharmacol 2015; 24:1-6. [DOI: 10.1016/j.coph.2015.06.002] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Accepted: 06/10/2015] [Indexed: 02/08/2023]
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Udy AA, Lipman J, Jarrett P, Klein K, Wallis SC, Patel K, Kirkpatrick CMJ, Kruger PS, Paterson DL, Roberts MS, Roberts JA. Are standard doses of piperacillin sufficient for critically ill patients with augmented creatinine clearance? CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2015; 19:28. [PMID: 25632974 PMCID: PMC4341874 DOI: 10.1186/s13054-015-0750-y] [Citation(s) in RCA: 102] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Accepted: 01/15/2015] [Indexed: 11/22/2022]
Abstract
Introduction The aim of this study was to explore the impact of augmented creatinine clearance and differing minimum inhibitory concentrations (MIC) on piperacillin pharmacokinetic/pharmacodynamic (PK/PD) target attainment (time above MIC (fT>MIC)) in critically ill patients with sepsis receiving intermittent dosing. Methods To be eligible for enrolment, critically ill patients with sepsis had to be receiving piperacillin-tazobactam 4.5 g intravenously (IV) by intermittent infusion every 6 hours for presumed or confirmed nosocomial infection without significant renal impairment (defined by a plasma creatinine concentration greater than 171 μmol/L or the need for renal replacement therapy). Over a single dosing interval, blood samples were drawn to determine unbound plasma piperacillin concentrations. Renal function was assessed by measuring creatinine clearance (CLCR). A population PK model was constructed, and the probability of target attainment (PTA) for 50% and 100% fT>MIC was calculated for varying MIC and CLCR values. Results In total, 48 patients provided data. Increasing CLCR values were associated with lower trough plasma piperacillin concentrations (P < 0.01), such that with an MIC of 16 mg/L, 100% fT>MIC would be achieved in only one-third (n = 16) of patients. Mean piperacillin clearance was approximately 1.5-fold higher than in healthy volunteers and correlated with CLCR (r = 0.58, P < 0.01). A reduced PTA for all MIC values, when targeting either 50% or 100% fT>MIC, was noted with increasing CLCR measures. Conclusions Standard intermittent piperacillin-tazobactam dosing is unlikely to achieve optimal piperacillin exposures in a significant proportion of critically ill patients with sepsis, owing to elevated drug clearance. These data suggest that CLCR can be employed as a useful tool to determine whether piperacillin PK/PD target attainment is likely with a range of MIC values.
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Affiliation(s)
- Andrew A Udy
- Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Commercial Road, Melbourne, Victoria, 3181, Australia.
| | - Jeffrey Lipman
- Burns, Trauma, and Critical Care Research Centre, The University of Queensland, Butterfield Street, Brisbane, Queensland, 4029, Australia. .,Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Butterfield Street, Brisbane, Queensland, 4029, Australia.
| | - Paul Jarrett
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Butterfield Street, Brisbane, Queensland, 4029, Australia.
| | - Kerenaftali Klein
- Statistics Unit, QIMR Berghofer Medical Research Institute, Herston Road, Brisbane, Queensland, 4029, Australia.
| | - Steven C Wallis
- Burns, Trauma, and Critical Care Research Centre, The University of Queensland, Butterfield Street, Brisbane, Queensland, 4029, Australia.
| | - Kashyap Patel
- Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Royal Parade, Melbourne, Victoria, 3052, Australia.
| | - Carl M J Kirkpatrick
- Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Royal Parade, Melbourne, Victoria, 3052, Australia.
| | - Peter S Kruger
- Burns, Trauma, and Critical Care Research Centre, The University of Queensland, Butterfield Street, Brisbane, Queensland, 4029, Australia. .,Department of Intensive Care Medicine, Princess Alexandra Hospital, Ipswich Road, Brisbane, Queensland, 4102, Australia.
| | - David L Paterson
- Department of Infectious Diseases, Royal Brisbane and Women's Hospital, Butterfield Street, Brisbane, Queensland, Australia. .,Centre for Clinical Research, The University of Queensland, Butterfield Street, Brisbane, Queensland, 4029, Australia.
| | - Michael S Roberts
- School of Pharmacy and Medical Sciences, University of South Australia, North Terrace, Adelaide, South Australia, 5000, Australia.
| | - Jason A Roberts
- Burns, Trauma, and Critical Care Research Centre, The University of Queensland, Butterfield Street, Brisbane, Queensland, 4029, Australia. .,Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Butterfield Street, Brisbane, Queensland, 4029, Australia.
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Adnan S, Ratnam S, Kumar S, Paterson D, Lipman J, Roberts J, Udy AA. Select critically ill patients at risk of augmented renal clearance: experience in a Malaysian intensive care unit. Anaesth Intensive Care 2014; 42:715-22. [PMID: 25342403 DOI: 10.1177/0310057x1404200606] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Augmented renal clearance (ARC) refers to increased solute elimination by the kidneys. ARC has considerable implications for altered drug concentrations. The aims of this study were to describe the prevalence of ARC in a select cohort of patients admitted to a Malaysian intensive care unit (ICU) and to compare measured and calculated creatinine clearances in this group. Patients with an expected ICU stay of <24 hours plus an admission serum creatinine concentration <120 µmol/l, were enrolled from May to July 2013. Twenty-four hour urinary collections and serum creatinine concentrations were used to measure creatinine clearance. A total of 49 patients were included, with a median age of 34 years. Most study participants were male and admitted after trauma. Thirty-nine percent were found to have ARC. These patients were more commonly admitted in emergency (P=0.03), although no other covariants were identified as predicting ARC, likely due to the inclusion criteria and the study being under-powered. Significant imprecision was demonstrated when comparing calculated Cockcroft-Gault creatinine clearance (Crcl) and measured Crcl. Bias was larger in ARC patients, with Cockcroft-Gault Crcl being significantly lower than measured Crcl (P <0.01) and demonstrating poor correlation (rs=-0.04). In conclusion, critically ill patients with 'normal' serum creatinine concentrations have varied Crcl. Many are at risk of ARC, which may necessitate individualised drug dosing. Furthermore, significant bias and imprecision between calculated and measured Crcl exists, suggesting clinicians should carefully consider which method they employ in assessing renal function.
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Affiliation(s)
- S Adnan
- Burns, Trauma and Critical Care Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland
| | - S Ratnam
- Hospital Sungai Buloh, Sungai Buloh, Malaysia
| | - S Kumar
- Hospital Sungai Buloh, Sungai Buloh, Malaysia
| | - D Paterson
- University of Queensland Centre for Clinical Research (UQCCR), Brisbane, Queensland
| | - J Lipman
- Burns, Trauma and Critical Care Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland
| | - J Roberts
- Burns, Trauma and Critical Care Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland
| | - A A Udy
- Intensive Care Unit, Alfred Hospital, Melbourne, Victoria
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Modified Augmented Renal Clearance score predicts rapid piperacillin and tazobactam clearance in critically ill surgery and trauma patients. J Trauma Acute Care Surg 2014; 77:S163-70. [PMID: 24770557 DOI: 10.1097/ta.0000000000000191] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Recent evidence suggests that current antimicrobial dosing may be inadequate for some critically ill patients. A major contributor in patients with unimpaired renal function may be Augmented Renal Clearance (ARC), wherein urinary creatinine clearance exceeds that predicted by serum creatinine concentration. We used pharmacokinetic data to evaluate the diagnostic accuracy of a recently proposed ARC score. METHODS Pharmacokinetic data from trauma/surgical intensive care unit patients receiving piperacillin/tazobactam were evaluated. We combined intermediate scores (4-6 points) into a single low score (≤6) group and compared pharmacokinetic parameters against the high (≥7) ARC score group. Diagnostic performance was evaluated using median clearance and volume of distribution, area under the antibiotic time-concentration curve (AUC), and achievement of free concentrations greater than a minimum inhibitory concentration (MIC) of 16 μg/mL for at least 50% of the dose interval (fT > MIC ≥ 50%). Alternative dosing strategies were explored in silico. RESULTS The ARC score was 100% sensitive and 71.4% specific for detecting increased clearance, increased volume of distribution, decreased AUC, and fT > MIC < 50% at an MIC of 16 μg/mL. The area under the receiver operating characteristic curve was 0.86 for each, reflecting a high degree of diagnostic accuracy for the ARC score. Serum creatinine less than 0.6 mg/dL had comparable specificity (71.4%) but was less sensitive (66.7%) and accurate (area under the receiver operating characteristic curve, 0.69) for detecting higher clearance rates. Monte Carlo pharmacokinetic simulations demonstrated increased time at therapeutic drug levels with extended infusion dosing at a drug cost savings of up to 66.7% over multiple intermittent dosing regimens. CONCLUSION Given its ability to predict antimicrobial clearance above population medians, which could compromise therapy, the ARC score should be considered as a means to identify patients at risk for subtherapeutic antibiotic levels. Adequately powered studies should prospectively confirm the utility of the ARC score and the role of antimicrobial therapeutic drug monitoring in such patients. LEVEL OF EVIDENCE Diagnostic tests, level III.
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