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Seon JY, Kim S, Lim MK, Oh IH. Increased risk of SARS-CoV-2 infection and COVID-19 death among older patients at long-term care hospitals in Korea. Front Public Health 2023; 11:1235745. [PMID: 37559732 PMCID: PMC10407124 DOI: 10.3389/fpubh.2023.1235745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 07/11/2023] [Indexed: 08/11/2023] Open
Abstract
Introduction Long-term care hospitals are known to be vulnerable to SARS-CoV-2 infection and death given their numerous older chronic disease patients. However, the actual effect of long-term care hospital admission is not well known in Korea; hence, this study sought to analyze the effect of long-term care hospitalization on SARS-CoV-2 infection and COVID-19 death by correcting for patients' characteristics. Methods This cross-sectional study used the data from K-COV-N cohort, which is linked to the National Health Insurance Service and the Korea Disease Control and Prevention Agency; it analyzed 70,373 individuals aged ≥60 years, who had been tested for COVID-19 between January 1 and May 30, 2020 (KDCA-NHIS-2020-1-601). Patients admitted to a long-term care hospital were defined as those with a confirmed history of hospitalization within 30 days of the COVID-19 testing date. The final data analysis was performed in December 2022. Logistic regression analysis of the national data was employed to determine the association between long-term care hospital admission, the risk of SARS-CoV-2 infection, and death from COVID-19. The odds ratios for SARS-CoV-2 infection and death from COVID-19 were calculated by adjusting for sex, age, residential area, health insurance premium, disability, and the Charlson Comorbidity Index. Results Older patients at long-term care hospitals had a high risk of SARS-CoV-2 infection (OR:2.91, 95% CI:2.33-3.64) and death from COVID-19 (OR:3.58, 95% CI:2.13-6.02). A difference in SARS-CoV-2 infection risk was observed based on residential area, health insurance premium (economic level), and disability; no difference was observed for COVID-19 mortality risk. Discussion Admission to a long-term care hospital itself could be a risk factor for SARS-CoV-2 infection and the consequent high mortality risk after adjusting for sex, age, disability, and comorbidities. Patients are at high risk of infection through contact with workers, leading to death; therefore, quarantine policies for workers must be strengthened.
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Affiliation(s)
- Jeong-Yeon Seon
- Health Insurance Research Institute, National Health Insurance Service, Wonju, Republic of Korea
| | - Sunjea Kim
- Health Insurance Research Institute, National Health Insurance Service, Wonju, Republic of Korea
| | - Min Kyoung Lim
- Health Insurance Research Institute, National Health Insurance Service, Wonju, Republic of Korea
| | - In-Hwan Oh
- Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
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Passarelli-Araujo H, Passarelli-Araujo H, Pescim RR, Olak AS, Susuki AM, Tomimatsu MFAI, Volce CJ, Neves MAZ, Silva FF, Narciso SG, Paoliello MMB, Pott-Junior H, Urbano MR. Probabilistic survival modeling in health research: an assessment using cohort data from hospitalized patients with COVID-19 in a Latin American city. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2023; 86:217-229. [PMID: 36809963 DOI: 10.1080/15287394.2023.2181249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Probabilistic survival methods have been used in health research to analyze risk factors and adverse health outcomes associated with COVID-19. The aim of this study was to employ a probabilistic model selected among three distributions (exponential, Weibull, and lognormal) to investigate the time from hospitalization to death and determine the mortality risks among hospitalized patients with COVID-19. A retrospective cohort study was conducted for patients hospitalized due to COVID-19 within 30 days in Londrina, Brazil, between January 2021 and February 2022, registered in the database for severe acute respiratory infections (SIVEP-Gripe). Graphical and Akaike Information Criterion (AIC) methods were used to compare the efficiency of the three probabilistic models. The results from the final model were presented as hazard and event time ratios. Our study comprised of 7,684 individuals, with an overall case fatality rate of 32.78%. Data suggested that older age, male sex, severe comorbidity score, intensive care unit admission, and invasive ventilation significantly increased risks for in-hospital mortality. Our study highlights the conditions that confer higher risks for adverse clinical outcomes attributed to COVID-19. The step-by-step process for selecting appropriate probabilistic models may be extended to other investigations in health research to provide more reliable evidence on this topic.
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Affiliation(s)
| | - Hemanoel Passarelli-Araujo
- Department of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Rodrigo R Pescim
- Department of Statistics, State University of Londrina, Londrina, Brazil
| | - André S Olak
- Department of Architecture and Urbanism, State University of Londrina, Londrina, Brazil
| | - Aline M Susuki
- Department of Architecture and Urbanism, State University of Londrina, Londrina, Brazil
| | | | - Cilio J Volce
- Health Department of Londrina, Prefeitura de Londrina, Londrina, Brazil
| | - Maria A Z Neves
- Health Department of Londrina, Prefeitura de Londrina, Londrina, Brazil
| | - Fernanda F Silva
- Health Department of Londrina, Prefeitura de Londrina, Londrina, Brazil
| | - Simone G Narciso
- Health Department of Londrina, Prefeitura de Londrina, Londrina, Brazil
| | - Monica M B Paoliello
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, New York, USA
| | - Henrique Pott-Junior
- Department of Medicine, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Mariana R Urbano
- Department of Statistics, State University of Londrina, Londrina, Brazil
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Paludetto Junior M, Olak AS, Passarelli-Araujo H, Susuki AM, Aschner M, Pott-Junior H, Paoliello MMB, Urbano MR. COVID-19 vaccination and case fatality rates: a case report in a Brazilian municipality. CAD SAUDE PUBLICA 2023; 39:e00067922. [PMID: 37018770 PMCID: PMC10463226 DOI: 10.1590/0102-311xen067922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2002] [Accepted: 12/15/2022] [Indexed: 04/05/2023] Open
Abstract
Vaccination campaigns played a crucial role in reducing the incidence of COVID-19. However, a scant number of studies evaluated the impact of vaccination on case fatality rates (CFRs), including in Brazil. Our study aimed to compare CFRs according to vaccination status among subjects living in Arapongas (Paraná State, Brazil), considering the age composition of the population. Several strategies adopted by the Arapongas City Hall to minimize the spread of the virus were also elaborated upon. We accessed the 2021 database of the Arapongas Municipal Health Department, in which a total of 16,437 confirmed cases and 425 deaths were reported. The CFR was calculated as the ratio between COVID-19 deaths and the number of confirmed cases. Differences in age composition between unvaccinated and fully vaccinated individuals were observed in our study. Considering that CFR is a crude indicator and is highly sensitive to the age composition of the population, we adopted the average age distribution of confirmed cases among the three vaccination statuses (unvaccinated, partially, and fully) as a standard age distribution. The age-standardized CFR for unvaccinated and fully vaccinated groups were 4.55% and 2.42%, respectively. Fully vaccinated individuals showed lower age-specific CFRs in all age groups above 60 years than unvaccinated populations. Our findings strengthen the role of vaccination as a critical measure for preventing deaths among infected people and is particularly important to the ongoing reassessment of public health interventions and policies.
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Affiliation(s)
| | - André S Olak
- Departamento de Arquitetura e Urbanismo, Universidade Estadual de Londrina, Londrina, Brasil
| | | | - Aline M Susuki
- Departamento de Arquitetura e Urbanismo, Universidade Estadual de Londrina, Londrina, Brasil
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, New York, U.S.A
| | - Henrique Pott-Junior
- Departamento de Medicina, Universidade Federal de São Carlos, São Carlos, Brasil
| | - Monica M B Paoliello
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, New York, U.S.A
| | - Mariana R Urbano
- Departamento de Estatística, Universidade Estadual de Londrina, Londrina, Brasil
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de Hesselle ML, Borgmann S, Rieg S, Vehreschild JJ, Rasch S, Koll CEM, Hower M, Stecher M, Ebert D, Hanses F, Schumann J. Age and Comorbidity Burden of Patients Critically Ill with COVID-19 Affect Both Access to and Outcome of Ventilation Therapy in Intensive Care Units. J Clin Med 2023; 12:jcm12072469. [PMID: 37048553 PMCID: PMC10095412 DOI: 10.3390/jcm12072469] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
During the COVID-19 pandemic, large numbers of elderly, multimorbid people required treatment in intensive care units. This study investigated how the inherent patient factors age and comorbidity burden affected the treatment strategy and the outcome achieved. Retrospective analysis of data from intensive care patients enrolled in the Lean European Open Survey on SARS-CoV2-Infected Patients (LEOSS) cohort found that a patient's age and comorbidity burden in fact influenced their mortality rate and the use of ventilation therapy. Evidence showed that advanced age and multimorbidity were associated with the restrictive use of invasive ventilation therapies, particularly ECMO. Geriatric patients with a high comorbidity burden were clustered in the sub-cohort of non-ventilated ICU patients characterized by a high mortality rate. The risk of death generally increased with older age and accumulating comorbidity burden. Here, the more aggressive an applied procedure, the younger the age in which a majority of patients died. Clearly, geriatric, multimorbid COVID-19 patients benefit less from invasive ventilation therapies. This implies the need for a holistic approach to therapy decisions, taking into account the patient's wishes.
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Affiliation(s)
- Marie Louise de Hesselle
- University Clinic and Outpatient Clinic for Anesthesiology and Operative Intensive Care, University Medicine Halle (Saale), 06112 Halle (Saale), Germany
| | - Stefan Borgmann
- Department of Infectious Diseases and Infection Control, Ingolstadt Hospital, 85049 Ingolstadt, Germany
| | - Siegbert Rieg
- Department of Medicine II, University of Freiburg, 79106 Freiburg, Germany
| | - Jörg Janne Vehreschild
- Department II of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, 60323 Frankfurt, Germany
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, 50937 Cologne, Germany
| | - Sebastian Rasch
- Department of Internal Medicine II, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Carolin E M Koll
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, 50937 Cologne, Germany
| | - Martin Hower
- Department of Pneumology, Infectious Diseases, Internal Medicine and Intensive Care, Klinikum Dortmund GmbH, 44137 Dortmund, Germany
| | - Melanie Stecher
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, 50937 Cologne, Germany
| | - Daniel Ebert
- University Clinic and Outpatient Clinic for Anesthesiology and Operative Intensive Care, University Medicine Halle (Saale), 06112 Halle (Saale), Germany
| | - Frank Hanses
- Emergency Department and Department for Infection Control and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Julia Schumann
- University Clinic and Outpatient Clinic for Anesthesiology and Operative Intensive Care, University Medicine Halle (Saale), 06112 Halle (Saale), Germany
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Bepouka B, Mandina M, Longokolo M, Mayasi N, Odio O, Mangala D, Mafuta Y, Makulo JR, Mbula M, Kayembe JM, Situakibanza H. Factors associated with death in COVID-19 patients over 60 years of age at Kinshasa University Hospital, Democratic Republic of Congo (DRC). Pan Afr Med J 2022; 41:330. [PMID: 35865854 PMCID: PMC9268318 DOI: 10.11604/pamj.2022.41.330.32602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/30/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction the objectives of the present study were to determine the mortality rate in patients over 60 years of age with COVID-19 and to identify risk factors. Methods the present historical cohort study took place at the Kinshasa University Hospital (KUH), DRC. Older patients admitted from March 2020 to May 2021 and diagnosed COVID-19 positive at the laboratory were selected. The relationship between clinical and biological risk factors, treatment, and in-hospital mortality was modeled using Cox regression. Results of two hundred and twenty-two patients at least 60 years old, 97 died, for a mortality rate of 43.69%. The median age was 70 years (64-74) with extremes of 60 to 88 years. Low oxygen saturation of < 90% (aHR 1.69; 95% CI [1.03-2.77]; p=0.038) was an independent predictor of mortality. The risk of death was reduced with corticosteroid use (aHR 0.54; 95% CI [0.40-0.75]; p=0.01) and anticoagulant treatment (aHR 0.53; 95% CI [0.38-0.73]; p=0.01). Conclusion mortality was high in seniors during COVID-19 and low oxygen saturation on admission was a risk factor for mortality. Corticosteroid therapy and anticoagulation were protective factors. These should be considered in management to reduce mortality.
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Affiliation(s)
- Ben Bepouka
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo,,Corresponding author: Ben Bepouka, Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo.
| | - Madone Mandina
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Murielle Longokolo
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Nadine Mayasi
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Ossam Odio
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Donat Mangala
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Yves Mafuta
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Jean Robert Makulo
- Nephrology Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Marcel Mbula
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Jean Marie Kayembe
- Pneumology Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
| | - Hippolyte Situakibanza
- Infectious and Tropical Diseases Unit, Kinshasa University Hospital, Kinshasa, Democratic Republic of the Congo
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