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Dirchwolf M, Gomez Perdiguero G, Cairo F, Vazquez C, Notari L, Murga MD, Elizondo M, Bessone F, Agozino M, Brutti J, Zerega AR, Pages J, Stieben TE, Calzetta P, Arufe D, González Ballerga E, Giunta D, Smud A, Osso Sanchez B, Navarro L, Palazzo A, Valverde M, Gadano A, Marciano S. Towards evidence-based empiric antibiotic recommendations for spontaneous infections in patients with cirrhosis. Dig Liver Dis 2025; 57:394-400. [PMID: 39107169 DOI: 10.1016/j.dld.2024.07.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/24/2024] [Accepted: 07/21/2024] [Indexed: 08/09/2024]
Abstract
BACKGROUND With the emergence of multidrug-resistant infections, healthcare professionals must evaluate the effectiveness of empiric antibiotic treatments. AIMS To assess the antibiotic susceptibility patterns of microorganisms causing spontaneous infections in patients with cirrhosis and to evaluate the suitability of empiric antibiotic treatments based on major clinical guidelines. METHODS This cross-sectional study utilized two datasets from prospective studies of patients with cirrhosis and culture-positive spontaneous bacterial infections in Argentina and Uruguay. We estimated susceptibility to commonly used antibiotics and assessed coverage following European and American recommendations. RESULTS We analyzed 238 episodes of culture-positive spontaneous infections in 229 patients. When implementing the recommendations for empiric treatment of community-acquired spontaneous infections, ceftazidime would result in 39 % coverage, whereas ceftriaxone would reach 70 %. Cefepime, which is not included in the recommendations, would have provided coverage of 74 %. Using ertapenem for nosocomial infections would have only covered 56 % of these episodes, whereas meropenem or imipenem reached 73 % coverage. Only the combination of meropenem or imipenem plus vancomycin would achieve a coverage surpassing 85 % in healthcare-associated or nosocomial spontaneous bacterial infections. CONCLUSIONS Our study uncovers inadequate coverage in specific clinical scenarios when adhering to recommendations, underscoring the necessity of guidelines based on local epidemiological data.
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Affiliation(s)
- Melisa Dirchwolf
- Liver Unit, Hospital Privado de Rosario, Presidente Roca 2440, CP 200, Santa Fe, Argentina.
| | - Gonzalo Gomez Perdiguero
- Liver Unit, Hospital Italiano de Buenos Aires. Tte. Gral. Juan Domingo Perón 4190, CP 1199, Buenos Aires, Argentina
| | - Fernando Cairo
- Liver Unit, Solid Organ Transplant Service, El Cruce Hospital. Av. Calchaquí 5401, CP 1888, Buenos Aires, Argentina
| | - Carolina Vazquez
- Internal Medicine, Critical Care Unit, Italiano Hospital of Buenos Aires. Tte. Gral. Juan Domingo Perón 4190, CP 1199, Buenos Aires, Argentina
| | - Lorena Notari
- Liver Unit, Police Medical Hospital Churruca Visca. Uspallata 3400, CP 1437, Buenos Aires, Argentina
| | - Maria Dolores Murga
- Liver Unit, Angel C. Padilla Hospital. Juan Bautista Alberdi 550, CP 4000, Tucuman, Argentina
| | - Martin Elizondo
- Bi-Institutional Unit for Complex Hepatic Diseases (Militar Hospital - Clinical Hospital), Liver Transplant Program. Av 8 octubre 3020, CP 11600, Montevideo, Uruguay
| | - Fernando Bessone
- Liver Unit, Centenario Hospital of Rosario. Urquiza 3100, CP 2000, Santa Fe, Argentina
| | - Marina Agozino
- Liver and Gastroenterology Unit, Guemes Sanatorio. Av Cordoba 3933, CP 1188, Buenos Aires, Argentina
| | - Julia Brutti
- Liver Unit, Alemán Hospital. Av. Pueyrredón 1640, CP 1118, Buenos Aires, Argentina
| | | | - Josefina Pages
- Liver Unit, Austral University Hospital. Av. Pres. Juan Domingo Peron 1500, CP 1629, Buenos Aires, Argentina
| | - Teodoro Eduardo Stieben
- Liver Unit, San Martin Hospital of Parana. Pres. Juan Domingo Perón 450, CP 3100, Entre Rios, Argentina
| | - Pablo Calzetta
- Liver and Gastroenterology Unit, Juan A. Fernández Hospital. Av. Cerviño 3356, CP 1425, Buenos Aires, Argentina
| | - Diego Arufe
- Liver Unit, Sagrado Corazón Sanatorio. Bartolomé Mitre 1955, CP 1039, Buenos Aires, Argentina
| | - Esteban González Ballerga
- Liver and Gastroenterology Unit, Hospital Clinica Jose de San Martin Clinica. Av. Córdoba 2351, CP 1120, Buenos Aires, Argentina
| | - Diego Giunta
- Instituto Universitario del Hospital Italiano, Buenos Aires. Argentina. Potosí 4265, CP 1199, Buenos Aires, Argentina
| | - Astrid Smud
- Infectious Diseases Service, Italiano Hospital of Buenos Aires, Tte. Gral. Juan Domingo Perón 4190, CP 1199, Buenos Aires, Argentina
| | - Brenda Osso Sanchez
- Liver Unit, Police Medical Hospital Churruca Visca. Uspallata 3400, CP 1437, Buenos Aires, Argentina
| | - Lucia Navarro
- Liver Unit, Solid Organ Transplant Service, El Cruce Hospital. Av. Calchaquí 5401, CP 1888, Buenos Aires, Argentina
| | - Ana Palazzo
- Liver Unit, Angel C. Padilla Hospital. Juan Bautista Alberdi 550, CP 4000, Tucuman, Argentina
| | - Marcelo Valverde
- Bi-Institutional Unit for Complex Hepatic Diseases (Militar Hospital - Clinical Hospital), Liver Transplant Program. Av 8 octubre 3020, CP 11600, Montevideo, Uruguay
| | - Adrian Gadano
- Liver Unit, Hospital Italiano de Buenos Aires. Tte. Gral. Juan Domingo Perón 4190, CP 1199, Buenos Aires, Argentina
| | - Sebastián Marciano
- Liver Unit, Hospital Italiano de Buenos Aires. Tte. Gral. Juan Domingo Perón 4190, CP 1199, Buenos Aires, Argentina
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Li S, Zhang Y, Lin Y, Zheng L, Fang K, Wu J. Development and validation of prediction models for nosocomial infection and prognosis in hospitalized patients with cirrhosis. Antimicrob Resist Infect Control 2024; 13:85. [PMID: 39113159 PMCID: PMC11304655 DOI: 10.1186/s13756-024-01444-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 07/27/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Nosocomial infections (NIs) frequently occur and adversely impact prognosis for hospitalized patients with cirrhosis. This study aims to develop and validate two machine learning models for NIs and in-hospital mortality risk prediction. METHODS The Prediction of Nosocomial Infection and Prognosis in Cirrhotic patients (PIPC) study included hospitalized patients with cirrhosis at the Qingchun Campus of the First Affiliated Hospital of Zhejiang University. We then assessed several machine learning algorithms to construct predictive models for NIs and prognosis. We validated the best-performing models with bootstrapping techniques and an external validation dataset. The accuracy of the predictions was evaluated through sensitivity, specificity, predictive values, and likelihood ratios, while predictive robustness was examined through subgroup analyses and comparisons between models. RESULTS We enrolled 1,297 patients into derivation cohort and 496 patients into external validation cohort. Among the six algorithms assessed, the Random Forest algorithm performed best. For NIs, the PIPC-NI model achieved an area under the curve (AUC) of 0.784 (95% confidence interval [CI] 0.741-0.826), a sensitivity of 0.712, and a specificity of 0.702. For in-hospital mortality, the PIPC- mortality model achieved an AUC of 0.793 (95% CI 0.749-0.836), a sensitivity of 0.769, and a specificity of 0.701. Moreover, our PIPC models demonstrated superior predictive performance compared to the existing MELD, MELD-Na, and Child-Pugh scores. CONCLUSIONS The PIPC models showed good predictive power and may facilitate healthcare providers in easily assessing the risk of NIs and prognosis among hospitalized patients with cirrhosis.
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Affiliation(s)
- Shuwen Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Yu Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Yushi Lin
- Department of Infectious Diseases, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Luyan Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Kailu Fang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Jie Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
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Yoon YK, Moon C, Kim J, Heo ST, Lee MS, Lee S, Kwon KT, Kim SW, Korean Society for Antimicrobial Therapy, Korean Society of Infectious Diseases. Korean Guidelines for Use of Antibiotics for Intra-abdominal Infections in Adults. Infect Chemother 2022; 54:812-853. [PMID: 36596690 PMCID: PMC9840951 DOI: 10.3947/ic.2022.0156] [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: 11/02/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
The guidelines are intended to provide practical information for the correct use of antibiotics for intra-abdominal infections in Korea. With the aim of realizing evidence-based treatment, these guidelines for the use of antibiotics were written to help clinicians find answers to key clinical questions that arise in the course of patient care, using the latest research results based on systematic literature review. The guidelines were prepared in consideration of the data on the causative pathogens of intra-abdominal infections in Korea, the antibiotic susceptibility of the causative pathogens, and the antibiotics available in Korea.
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Affiliation(s)
- Young Kyung Yoon
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.,Korean Society for Antimicrobial Therapy, Seoul, Korea
| | - Chisook Moon
- Korean Society for Antimicrobial Therapy, Seoul, Korea.,Division of Infectious Diseases, Department of Internal Medicine, Inje University College of Medicine, Busan, Korea
| | - Jieun Kim
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.,Korean Society of Infectious Diseases, Seoul, Korea
| | - Sang Taek Heo
- Korean Society of Infectious Diseases, Seoul, Korea.,Division of Infectious Diseases, Department of Internal Medicine, Jeju National University College of Medicine, Jeju, Korea
| | - Mi Suk Lee
- Korean Society of Infectious Diseases, Seoul, Korea.,Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Korea
| | - Shinwon Lee
- Korean Society of Infectious Diseases, Seoul, Korea.,Department of Internal Medicine, Pusan National University School of Medicine and Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Ki-Tae Kwon
- Korean Society for Antimicrobial Therapy, Seoul, Korea.,Division of Infectious Diseases, Department of Internal Medicine, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Shin-Woo Kim
- Korean Society for Antimicrobial Therapy, Seoul, Korea.,Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea
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