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Sun M, Chen WM, Wu SY, Zhang J. Dementia risk after major elective surgery based on the route of anaesthesia: A propensity score-matched population-based cohort study. EClinicalMedicine 2023; 55:101727. [PMID: 36386032 PMCID: PMC9641180 DOI: 10.1016/j.eclinm.2022.101727] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Whether the route of anaesthesia is an independent risk factor for dementia remains unclear. Therefore, we conducted a propensity score-matched (PSM) population-based cohort study to compare dementia incidence among surgical patients undergoing different routes of anaesthesia. METHODS The inclusion criteria were being an inpatient >20 years of age who underwent major elective surgery, defined as those requiring GA without or with inhalation anaesthetics or regional anaesthesia, and being hospitalised for >1 day between Jan 1, 2008 and Dec 31, 2019 in Taiwan. Patients undergoing major elective surgery were categorised into three groups according to the type of anaesthesia administered: noninhalation anaesthesia, inhalation anaesthesia, and regional anaesthesia, matched at a 1:1 ratio. The incidence rate (IR) of dementia was determined. FINDINGS PSM yielded 63,750 patients (21,250 in the noninhalation anaesthesia group, 21,250 in the inhalation anaesthesia group, and 21,250 in the regional anaesthesia group). In the multivariate Cox regression analysis, the adjusted hazard ratios (aHRs; 95% confidence intervals) of dementia for the inhalation and noninhalation anaesthesia groups compared with the regional anaesthesia group were 20.16 (15.40-26.35; p < 0.001) and 18.33 (14.03-24.04; p < 0.001), respectively. The aHR of dementia for inhalation anaesthesia compared with noninhalation anaesthesia was 1.13 (1.03-1.22; p = 0.028). The IRs of dementia for the inhalation, noninhalation, and regional anaesthesia groups were 3647.90, 3492.00, and 272.99 per 100,000 person-years, respectively. INTERPRETATION In this population based cohort study, the incidence of dementia among surgical patients undergoing general anaesthesia was higher than among those undergoing regional anaesthesia. Among patients undergoing general anaesthesia, inhalation anaesthesia was associated with a higher risk of dementia than noninhalation anaesthesia. Our results should be confirmed in a randomised controlled trial. FUNDING The study was partially supported by Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital (Funding Number: 10908, 10909, 11001, 11002, 11003, 11006, and 11013).
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Key Words
- AD, Alzheimer disease
- ASA, American Society of Anesthesiology
- Anaesthesia
- CI, confidence interval
- Dementia
- GA, General anaesthesia
- General anaesthesia
- HR, hazard ratio
- ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification
- IPTW, inverse probability of treatment weighting
- IQR, interquartile range
- IRRs, incidence rate ratios
- IRs, incidence rates
- Incidence rate
- NHIRD, National Health Insurance Research Database
- PSM, propensity score matching
- RCT, randomised controlled trial
- Regional anaesthesia
- SD, standard deviation
- SMD, standardized mean difference
- aHR, adjusted hazard ratio
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Affiliation(s)
- Mingyang Sun
- Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Wan-Ming Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan
- Artificial Intelligence Development Centre, Fu Jen Catholic University, Taipei, Taiwan
| | - Szu-Yuan Wu
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan
- Artificial Intelligence Development Centre, Fu Jen Catholic University, Taipei, Taiwan
- Centre for Regional Anaesthesia and Pain Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung, Taiwan
- Big Data Centre, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan
- Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
- Corresponding author. Associate Professor, College of Medical and Health Science, Asia University, Taichung, Taiwan; Director, Big Data Centre, Lo-Hsu Medical Foundation, LotungPoh-Ai Hospital, Yilan, Taiwan; Attending Physician, Division of Radiation Oncology, Department of Medicine, Lo-Hsu Medical Foundation, LotungPoh-Ai Hospital, Yilan, Taiwan; Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China, No. 83, Nanchang St., Luodong Township, Yilan County 265, Taiwan.
| | - Jiaqiang Zhang
- Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China
- Corresponding author. Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, No. 7, Weiwu Road, Jinshui County, Zhengzhou, Henan, 450003, China.
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Li P, Liang X, Luo J, Li J, Xin J, Jiang J, Shi D, Lu Y, Hassan HM, Zhou Q, Hao S, Zhang H, Wu T, Li T, Yao H, Ren K, Guo B, Zhou X, Chen J, He L, Yang H, Hu W, Ma S, Li B, You S, Xin S, Chen Y, Li J. Predicting the survival benefit of liver transplantation in HBV-related acute-on-chronic liver failure: an observational cohort study. Lancet Reg Health West Pac 2022; 32:100638. [PMID: 36793753 PMCID: PMC9923183 DOI: 10.1016/j.lanwpc.2022.100638] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/22/2022] [Accepted: 10/20/2022] [Indexed: 11/12/2022]
Abstract
Background Liver transplantation (LT) is an effective therapy for acute-on-chronic liver failure (ACLF) but is limited by organ shortages. We aimed to identify an appropriate score for predicting the survival benefit of LT in HBV-related ACLF patients. Methods Hospitalized patients with acute deterioration of HBV-related chronic liver disease (n = 4577) from the Chinese Group on the Study of Severe Hepatitis B (COSSH) open cohort were enrolled to evaluate the performance of five commonly used scores for predicting the prognosis and transplant survival benefit. The survival benefit rate was calculated to reflect the extended rate of the expected lifetime with vs. without LT. Findings In total, 368 HBV-ACLF patients received LT. They showed significantly higher 1-year survival than those on the waitlist in both the entire HBV-ACLF cohort (77.2%/52.3%, p < 0.001) and the propensity score matching cohort (77.2%/27.6%, p < 0.001). The area under the receiver operating characteristic curve (AUROC) showed that the COSSH-ACLF II score performed best (AUROC 0.849) at identifying the 1-year risk of death on the waitlist and best (AUROC 0.864) at predicting 1-year outcome post-LT (COSSH-ACLFs/CLIF-C ACLFs/MELDs/MELD-Nas: AUROC 0.835/0.825/0.796/0.781; all p < 0.05). The C-indexes confirmed the high predictive value of COSSH-ACLF IIs. Survival benefit rate analyses showed that patients with COSSH-ACLF IIs 7-10 had a higher 1-year survival benefit rate from LT (39.2%-64.3%) than those with score <7 or >10. These results were prospectively validated. Interpretation COSSH-ACLF IIs identified the risk of death on the waitlist and accurately predicted post-LT mortality and survival benefit for HBV-ACLF. Patients with COSSH-ACLF IIs 7-10 derived a higher net survival benefit from LT. Funding This study was supported by the National Natural Science Foundation of China (No. 81830073, No. 81771196) and the National Special Support Program for High-Level Personnel Recruitment (Ten-thousand Talents Program).
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Key Words
- ACLF, acute-on-chronic liver failure
- AUROC, area under the receiver operating characteristic curve
- Acute-on-chronic liver failure
- CLIF-C ACLFs, CLIF-C ACLF score
- CLIF-C, chronic liver failure Consortium
- CLIF-OFs, CLIF-organ failure score
- COSSH, Chinese Group on the Study of Severe Hepatitis B
- COSSH-ACLF IIs, COSSH-ACLF II score
- COSSH-ACLFs, COSSH-ACLF score
- EASL, European Association for the Study of the Liver
- HBV, hepatitis B virus
- HE, hepatic encephalopathy
- Hepatitis B virus
- INR, international normalized ratio
- LT, liver transplantation
- Liver transplantation
- MELD-Nas, MELD-sodium score
- MELDs, Model for End-stage Liver Disease score
- PSM, propensity score matching
- Survival benefit
- TB, total bilirubin
- Transplant timing
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Affiliation(s)
- Peng Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Xi Liang
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Jinjin Luo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Jiaqi Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Jiaojiao Xin
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Jing Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Dongyan Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Yingyan Lu
- Key Laboratory of Cancer Prevention and Therapy Combining Traditional Chinese and Western Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Hozeifa Mohamed Hassan
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Qian Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Shaorui Hao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Huafen Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Tianzhou Wu
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China
| | - Tan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Heng Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Keke Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Beibei Guo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Xingping Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Jiaxian Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Lulu He
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Hui Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Wen Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Shiwen Ma
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Bingqi Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China
| | - Shaoli You
- Senior Department of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Shaojie Xin
- Senior Department of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Yu Chen
- Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China,Corresponding author.
| | - Jun Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China,Corresponding author.
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Rim CH, Lee JS, Kim SY, Seong J. Comparison of radiofrequency ablation and ablative external radiotherapy for the treatment of intrahepatic malignancies: A hybrid meta-analysis. JHEP Rep 2023; 5:100594. [PMID: 36561128 DOI: 10.1016/j.jhepr.2022.100594] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 09/08/2022] [Accepted: 09/11/2022] [Indexed: 02/01/2023] Open
Abstract
Background & Aims Radiofrequency ablation (RFA) and ablative external beam radiotherapy (ablative RT) are commonly used to treat small intrahepatic malignancies. We meta-analysed oncologic outcomes and systematically reviewed the clinical consideration of tumour location and size. Methods PubMed, Medline, Embase, and Cochrane Library databases were searched on February 24, 2022. Studies comparing RFA and ablative RT, providing one of the endpoints (local control or survival), and encompassing ≥5 patients in each arm were included. Results Twenty-one studies involving 4,638 patients were included. Regarding survival, the odds ratio (OR) was 1.204 (p = 0.194, favouring RFA, not statistically significant) among all studies, 1.253 (p = 0.153) among hepatocellular carcinoma (HCC) studies, and 1.002 (p = 0.996) among colorectal cancer metastasis studies. Regarding local control, the OR was 0.458 (p <0.001, favouring ablative RT) among all studies, 0.452 (p <0.001) among HCC studies, favouring the ablative RT arm, and 0.649 (p = 0.484) among colorectal cancer metastasis studies. Pooled 1- and 2-year survival rates for HCC studies were 91.8% and 77.7% after RFA, and 89.0% and 76.0% after ablative RT, respectively; and for metastasis studies were 88.2% and 66.4% after RFA and 82.7% and 60.6% after RT, respectively. Literature analysis suggests that ablative RT can be more effective than RFA for tumours larger than 2-3 cm or for specific sublocations in the liver (e.g. subphrenic or perivascular sites), with moderate quality of evidence (reference to the grading system of the American Society for Radiation Oncology Primary Liver Cancer Clinical Guidelines). The pooled grade ≥3 complication rates were 2.9% and 2.8% in the RFA and ablative RT arms, respectively (p = 0.952). Conclusions Our study shows that ablative RT can yield oncologic outcomes similar to RFA, and suggests that it can be more effective for the treatment of tumours in locations where RFA is difficult to perform or for large-sized tumours. Systematic Review Registration This study was registered with PROSPERO (Protocol No: CRD42022332997). Impact and implications Radiofrequency ablation (RFA) and ablative radiotherapy (RT) are non-surgical modalities for the treatment of small intrahepatic malignancies. Ablative RT showed oncologic outcomes at least similar to those of RFA, and was more effective at specific locations (e.g. perivascular or subphrenic locations).
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Key Words
- ASCO, American Society of Clinical Oncology
- ASTRO, American Society for Radiation Oncology
- CIRSE, cardiovascular and interventional radiological society of Europe
- CRC, colorectal cancer
- EBRT, external beam radiation therapy
- EQD2, Equivalent dose, 2 Gy per Fraction
- External beam radiation therapy
- HCC, hepatocellular carcinoma
- HFRT, hypofractionated radiotherapy
- IPTW, inverse probability of treatment weighting
- Intrahepatic malignancy
- LC, local control
- LT, liver transplantation
- Liver cancer
- MWA, microwave ablation
- NCDB, national cancer database
- OS, overall survival
- P, prospective
- PBT, proton beam therapy
- PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses
- PSM, propensity score matching
- R, retrospective
- RCT, randomised controlled trial
- RFA, radiofrequency ablation
- RT, radiotherapy
- Radiofrequency ablation
- SBRT, stereotactic body radiotherapy
- TACE, transarterial chemoembolisation
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Rubini-Costa R, Bermúdez-Jiménez F, Rivera-López R, Sola-García E, Nagib-Raya H, Moreno-Escobar E, López-Zúñiga MÁ, Briones-Través A, Sanz-Herrera F, Sequí-Sabater JM, Romero-Cabrera JL, Maíllo-Seco J, Fernández-Vázquez F, Rivadeneira-Ruiz M, López-Valero L, Gómez-Navarro C, Aparicio-Gómez JA, López MÁ, Tercedor L, Molina-Jiménez M, Macías-Ruiz R, Jiménez-Jáimez J. Prevalence of bleeding secondary to anticoagulation and mortality in patients with atrial fibrillation admitted with SARS-CoV-2 infection. Med Clin (Engl Ed) 2022; 158:569-575. [PMID: 35761979 PMCID: PMC9219541 DOI: 10.1016/j.medcle.2021.06.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 06/21/2021] [Indexed: 06/15/2023]
Abstract
INTRODUCTION AND PURPOSE Atrial fibrillation (AF) is common in patients admitted with severe COVID-19. However, there is limited data about the management of chronic anticoagulation therapy in these patients. We assessed the anticoagulation and incidence of major cardiovascular events in hospitalized patients with AF and COVID-19. METHODS We retrospectively investigated all consecutive patients with AF admitted with COVID-19 between March and May 2020 in 9 Spanish hospitals. We selected a control group of non-AF patients consecutively admitted with COVID-19. We compared baseline characteristics, incidence of major bleeding, thrombotic events and mortality. We used propensity score matching (PSM) to minimize potential confounding variables, as well as a multivariate analysis to predict major bleeding and death. RESULTS 305 patients admitted with AF and COVID-19 were included. After PSM, 151 AF patients were matched with 151 control group patients. During admission, low-molecular-weight heparin was the principal anticoagulant and the incidence of major bleeding and mortality were higher in the AF group [16 (10.6%) vs 3 (2%), p = 0.003; 52 (34.4%) vs 35 (23.2%), p = 0.03, respectively]. The multivariate analysis showed the presence of AF as independent predictor of in-hospital major bleeding and mortality in COVID-19 patients. In AF group, a secondary multivariate analysis identified high levels of D-dimer as independent predictor of in-hospital major bleeding. CONCLUSIONS AF patients admitted with COVID-19 represent a population at high risk for bleeding and mortality during admission. It seems advisable to individualize anticoagulation therapy during admission, considering patient specific bleeding and thrombotic risk.
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Affiliation(s)
- Ricardo Rubini-Costa
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
| | - Francisco Bermúdez-Jiménez
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Ricardo Rivera-López
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
| | - Elena Sola-García
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
| | - Hadi Nagib-Raya
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
- Servicio de Cardiología, Hospital Clínico San Cecilio, Av. del Conocimiento, s/n, 18016 Granada, Spain
| | - Eduardo Moreno-Escobar
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
- Servicio de Cardiología, Hospital Clínico San Cecilio, Av. del Conocimiento, s/n, 18016 Granada, Spain
| | - Miguel Ángel López-Zúñiga
- Servicio de Medicina Interna, Hospital Universitario de Jaén, Av. del Ejército Español, 10, 23007 Jaén, Spain
| | - Adela Briones-Través
- Servicio de Urgencias, Consorcio Hospital General Universitario de Valencia, Av. de les Tres Creus, 2, 46014 Valencia, Spain
| | - Francisco Sanz-Herrera
- Servicio de Neumología, Consorcio Hospital General Universitario de Valencia, Av. de les Tres Creus, 2, 46014 Valencia, Spain
| | - Jose Miguel Sequí-Sabater
- Servicio de Reumatología, Hospital Universitario Reina Sofía, Av. Menendez Pidal, s/n, 14004 Córdoba, Spain
| | - Juan Luis Romero-Cabrera
- Servicio de Medicina Interna, Hospital Universitario Reina Sofía, Av. Menendez Pidal, s/n, 14004 Córdoba, Spain
| | - Javier Maíllo-Seco
- Servicio de Cardiología, Hospital Universitario de León, Altos de nava, s/n, 24071 León, Spain
| | | | - María Rivadeneira-Ruiz
- Servicio de Cardiología, Hospital Universitario Virgen Macarena, Dr. Fedriani, 3, 41009 Sevilla, Spain
| | - Lucas López-Valero
- Hospital Universitario de Castellón, Avinguda de Benicàssim, 128, 12004 Castellón, Spain
| | - Carlos Gómez-Navarro
- Servicio de Cardiología, Hospital Universitario Torrecárdenas, Hermandad de Donantes de Sangre, s/n, 04009 Almería, Spain
| | - Jose Antonio Aparicio-Gómez
- Servicio de Cardiología, Hospital Universitario Torrecárdenas, Hermandad de Donantes de Sangre, s/n, 04009 Almería, Spain
| | - Miguel Álvarez López
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
| | - Luis Tercedor
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
| | - María Molina-Jiménez
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
| | - Rosa Macías-Ruiz
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
| | - Juan Jiménez-Jáimez
- Servicio de Cardiología, Hospital General Universitario Virgen de las Nieves, Avda. de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria IBS, Universidad de Granada, Hospital Real, Avenida del Hospicio, s/n, 18010 Granada, Spain
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Bock JM, Needham KA, Gregory DA, Ekono MM, Wickwire EM, Somers VK, Lerman A. Continuous Positive Airway Pressure Adherence and Treatment Cost in Patients With Obstructive Sleep Apnea and Cardiovascular Disease. Mayo Clin Proc Innov Qual Outcomes 2022; 6:166-75. [PMID: 35399584 DOI: 10.1016/j.mayocpiqo.2022.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objective To determine whether continuous positive airway pressure (CPAP) adherence reduces health care–related costs or use in patients with obstructive sleep apnea (OSA) and comorbid cardiovascular disease (CVD). Patients A total of 23 million patients with CVD were identified in the Medicare fee-for-service database. Of the 65,198 who completed a sleep study between January 2016 and September 2018, 55,125 were diagnosed as having OSA and 1758 were identified in the 5% Medicare durable medical equipment (DME) database. Methods Patients with DME claims were categorized as adherent (AD, treatment evidenced ≥91 days after CPAP initiation; n=614) or nonadherent (nAD, n=242) to CPAP therapy. In addition, 9881 individuals with CVD who were not diagnosed as having OSA after sleep testing and without CPAP initiation were included as control patients. Propensity score matching balanced the groups for age, sex, and comorbidities (eg, diabetes mellitus), resulting in 241 participants per cohort. Dependent variables included total episode-of-care, inpatient, outpatient, skilled nursing, home health, and DME costs across 12 months. Results Total episode-of-care costs of AD participants ($6825) were lower than those of nAD ($11,312; P<.05) and control ($8102) participants. This difference (Δ) was attributable to fewer outpatient expenses (Δ$2290; P<.05) relative to the nAD group and fewer inpatient expenses (Δ$745) relative to the control group because skilled nursing costs were comparable between groups (P=.73). Conclusion Adherence to CPAP treatment reduces annual health care–related expenses by 40% in Medicare patients with CVD and OSA.
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Key Words
- AD, patients adherent to continuous positive airway pressure treatment
- CAD, coronary artery disease
- CPAP, continuous positive airway pressure
- CVD, cardiovascular disease
- DME, durable medical equipment
- EOC, episode of care
- FFS, fee-for-service
- HSAT, in-home sleep apnea test
- ICD-10, International Statistical Classification of Diseases, Tenth Revision
- LOS, length of stay
- MA, Medicare Advantage
- OSA, obstructive sleep apnea
- PSG, polysomnography
- PSM, propensity score matching
- nAD, patients nonadherent to continuous positive airway pressure treatment
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Fritzsching B, Contoli M, Porsbjerg C, Buchs S, Larsen JR, Elliott L, Rodriguez MR, Freemantle N. Long-term real-world effectiveness of allergy immunotherapy in patients with allergic rhinitis and asthma: Results from the REACT study, a retrospective cohort study. Lancet Reg Health Eur 2021; 13:100275. [PMID: 34901915 PMCID: PMC8640513 DOI: 10.1016/j.lanepe.2021.100275] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background Allergen immunotherapy (AIT) is the only causal treatment for respiratory allergy. Long-term real-life effectiveness of AIT remains to be demonstrated beyond the evidence from randomised controlled trials (RCTs). Methods REACT (Real world effectiveness in allergy immunotherapy) is a retrospective cohort study using claims data between 2007 and 2017. Study eligibility was a confirmed diagnosis of allergic rhinitis (AR), with or without asthma, and AIT. To ensure comparable groups, AIT-treated subjects were propensity score matched 1:1 with control subjects, using characteristic and potential confounding variables. Outcomes were analysed as within (pre vs post AIT) and between (AIT vs control) group differences across 9 years of follow-up (ClinicalTrial.gov: NCT04125888). Findings 46,024 AIT-treated subjects were matched with control subjects and 14,614 were included in the pre-existing asthma cohort. AIT-treated subjects were 29·5 (16·3) years and 53% were male. Compared to pre-index year, AIT was consistently associated with greater reductions compared to control subjects in AR and asthma prescriptions, including both asthma controller and reliever prescriptions. Additionally, the AIT group had significantly greater likelihood of stepping down asthma treatment (P <0·0001). In addition to the reduction in asthma treatment in the AIT group, a greater reduction in severe asthma exacerbations was demonstrated (P<0·05). Reductions in pneumonia with antibiotic prescriptions, hospitalisations, and duration of inpatients stays were all in favour of AIT. Interpretation The study extends the existing RCT evidence for AIT by demonstrating longer-term and sustained effectiveness of AIT in the real world. Additionally, in patients with concurrent asthma, AIT was associated with reduced likelihood of asthma exacerbations and pneumonia. Funding The study was funded by ALK A/S.
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Key Words
- AIT, allergy immunotherapy
- AR, allergic rhinitis
- Allergic rhinitis
- Allergy
- Allergy immunotherapy
- Asthma
- Effectiveness
- FU, follow-up
- HDM, house dust mite
- HRU, health care resource utilisation
- ICS, inhaled corticosteroids
- INCS, intranasal corticosteroids
- LABA, long-acting beta2-agonists
- PSM, propensity score matching
- RCT, randomised clinical trial
- RWE, real world evidence
- Real-world evidence
- Retrospective cohort study
- Rx, prescription
- SABA, short-acting beta2-agonists
- SCIT, subcutaneous immunotherapy
- SLIT, sublingual immunotherapy
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Affiliation(s)
- Benedikt Fritzsching
- Paediatric Pulmonology and Allergy, Children's Doctor Service, Heidelberg and University of Heidelberg, Germany
| | - Marco Contoli
- Respiratory Section, Department of Translational Medicine, University of Ferrara, Italy
| | - Celeste Porsbjerg
- Department of Respiratory Medicine, Bispebjerg Hospital, University of Copenhagen, Denmark
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Deitelzweig S, Keshishian AV, Zhang Y, Kang A, Dhamane AD, Luo X, Klem C, Ferri M, Jiang J, Yuce H, Lip GY. Effectiveness and Safety of Oral Anticoagulants Among Nonvalvular Atrial Fibrillation Patients With Active Cancer. JACC CardioOncol 2021; 3:411-424. [PMID: 34604802 PMCID: PMC8463723 DOI: 10.1016/j.jaccao.2021.06.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 06/13/2021] [Indexed: 01/01/2023]
Abstract
Background Patients with cancer are more likely to develop nonvalvular atrial fibrillation (NVAF). Currently there are no definitive clinical trials or treatment guidelines for NVAF patients with concurrent cancer. Objectives This subgroup analysis of the ARISTOPHANES study compared the risk of stroke/systemic embolism (stroke/SE) and major bleeding (MB) among NVAF patients with active cancer who were prescribed non–vitamin K antagonist oral anticoagulants (NOACs) or warfarin. Methods A retrospective observational study was conducted in NVAF patients with active cancer who newly initiated apixaban, dabigatran, rivaroxaban, or warfarin from January 1, 2013, through September 30, 2015, with the use of Medicare and 4 U.S. commercial claims databases. Cox models were used to estimate the risk of stroke/SE and MB in the pooled propensity score–matched cohorts. Results A total of 40,271 patients were included, with main cancer types of prostate (29%), female breast (17%), genitourinary (14%), and lung (13%). Compared with warfarin, apixaban was associated with a lower risk of stroke/SE (hazard ratio [HR]: 0.59; 95% confidence interval [CI]: 0.45-0.78) and MB (HR: 0.58; 95% CI: 0.50-0.68); dabigatran and rivaroxaban had similar risks of stroke/SE (dabigatran: HR: 0.88 [95% CI: 0.54-1.41]; rivaroxaban: HR: 0.82 [95% CI: 0.62-1.08]) and MB (dabigatran: HR: 0.76 [95% CI: 0.57-1.01]; rivaroxaban: HR: 0.95 [95% CI: 0.85-1.06]). Risks of stroke/SE and MB varied among NOAC-NOAC comparisons, while consistent treatment effects were seen for all treatment comparisons across key cancer types. Conclusions Among this cohort of NVAF patients with active cancer, the risk of stroke/SE and MB varied among oral anticoagulants and were consistent across cancer types.
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Key Words
- AF, atrial fibrillation
- GI, gastrointestinal
- GU, genitourinary
- ICH, intracranial hemorrhage
- MB, major bleeding
- NOAC, non–vitamin K antagonist oral anticoagulant
- NVAF, nonvalvular atrial fibrillation
- PSM, propensity score matching
- SE, systemic embolism
- VTE, venous thromboembolism
- active cancer
- anticoagulants
- bleeding
- nonvalvular atrial fibrillation
- stroke
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Affiliation(s)
- Steven Deitelzweig
- Ochsner Clinic Foundation, Department of Hospital Medicine, New Orleans, Louisiana, USA
- University of Queensland School of Medicine—Ochsner Clinical School, New Orleans, Louisiana, USA
- Address for correspondence: Dr Steven Deitelzweig, Ochsner Health 1514 Jefferson Highway, 11th floor, Hospital Medicine, New Orleans, Louisiana 70121, USA. @statinmedresearch
| | - Allison V. Keshishian
- STATinMED Research, Ann Arbor, Michigan, USA
- New York City College of Technology, City University of New York, New York, New York, USA
| | - Yan Zhang
- Bristol Myers Squibb Company, Lawrenceville, New Jersey, USA
| | - Amiee Kang
- Bristol Myers Squibb Company, Lawrenceville, New Jersey, USA
| | - Amol D. Dhamane
- Bristol Myers Squibb Company, Lawrenceville, New Jersey, USA
| | | | - Christian Klem
- Bristol Myers Squibb Company, Lawrenceville, New Jersey, USA
| | - Mauricio Ferri
- Bristol Myers Squibb Company, Lawrenceville, New Jersey, USA
| | - Jenny Jiang
- Bristol Myers Squibb Company, Lawrenceville, New Jersey, USA
| | - Huseyin Yuce
- New York City College of Technology, City University of New York, New York, New York, USA
| | - Gregory Y.H. Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
- Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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