Deaths in 2020-2023 due to COVID-19: A Retrospective Analysis of Sociodemographic Features and Comorbidities

ArticleAçık Erişim

Özet

Objective: This study aimed to examine deaths during 2020-2023 in our hospital from coronavirus-19 and preexisting character- istics of the patients (herein referred to as victims), such as age, gender, and comorbidity, by performing a retrospective analysis. Methods: The hospital information management system was retrospectively analyzed for all coronavirus-19 related deaths between January 2020 and January 2023. Attention was paid to the patients’ ages, genders, provinces of residence, marital status, and chronic illnesses. Results: The mean age of the 623 victims was 75.9 ± 12.7 years. Male patients made up 58.3% of the deceased. When the victims were examined for comorbidities, it was discovered that 70.5% of the patients had cardiovascular system disease, 43.3% had endo- crine system disease, 43% had respiratory system disease, 32.7% had central nervous system disease, 34.5% had hyperlipidemia, 24.4% had urinary system disease, and 10.1% had malignancy. Conclusion: When the victims were compared with the examples in the literature, a similarity was discovered in terms of the dis- tribution of their age, gender, marital status, endocrine system diseases, cardiovascular system diseases, chronic urinary system diseases, diabetes mellitus type I and II, hypothyroidism, and malignancy. Further, incidences of chronic respiratory system disease, diseases of the central nervous system, hypertension, chronic obstructive pulmonary disease, asthma, cerebrovascular accident, and hyperlipidemia were found to be extremely high in the province studied as compared with the literature.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/17850Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.5152/abcr.2023.23171Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorTaş, Hakan Gökalp
dc.date.accessioned2026-10-18T20:49:46.661322889Z
dc.date.available2026-10-18T20:49:46.661322889Z
dc.date.issued2023
dc.description.abstractObjective: This study aimed to examine deaths during 2020-2023 in our hospital from coronavirus-19 and preexisting character- istics of the patients (herein referred to as victims), such as age, gender, and comorbidity, by performing a retrospective analysis. Methods: The hospital information management system was retrospectively analyzed for all coronavirus-19 related deaths between January 2020 and January 2023. Attention was paid to the patients’ ages, genders, provinces of residence, marital status, and chronic illnesses. Results: The mean age of the 623 victims was 75.9 ± 12.7 years. Male patients made up 58.3% of the deceased. When the victims were examined for comorbidities, it was discovered that 70.5% of the patients had cardiovascular system disease, 43.3% had endo- crine system disease, 43% had respiratory system disease, 32.7% had central nervous system disease, 34.5% had hyperlipidemia, 24.4% had urinary system disease, and 10.1% had malignancy. Conclusion: When the victims were compared with the examples in the literature, a similarity was discovered in terms of the dis- tribution of their age, gender, marital status, endocrine system diseases, cardiovascular system diseases, chronic urinary system diseases, diabetes mellitus type I and II, hypothyroidism, and malignancy. Further, incidences of chronic respiratory system disease, diseases of the central nervous system, hypertension, chronic obstructive pulmonary disease, asthma, cerebrovascular accident, and hyperlipidemia were found to be extremely high in the province studied as compared with the literature.
dc.identifier.doi10.5152/abcr.2023.23171
dc.identifier.eissn2687-4482
dc.identifier.endpage377
dc.identifier.issn2687-4520
dc.identifier.issue3
dc.identifier.startpage372
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/17850
dc.identifier.volume5
dc.language.isoen
dc.relation.ispartofArchives of Basic and Clinical Research
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectNüfus İstatistikleri Bilimi
dc.subjectTıbbi İnformatik
dc.subjectEndokrinoloji ve Metabolizma
dc.subjectPatoloji
dc.subjectSağlık Politikaları ve Hizmetleri
dc.subjectHematoloji
dc.subjectKalp ve Kalp Damar Sistemi
dc.subjectHemşirelik
dc.titleDeaths in 2020-2023 due to COVID-19: A Retrospective Analysis of Sociodemographic Features and Comorbidities
dc.typeArticle
dspace.entity.typePublication
rdl.citation.trdizin0
rdl.departmentERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ
rdl.source.indexTRDIZIN