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Risk Factors for Mortality in Indonesian COVID-19 Patients
Open Access Macedonian Journal of Medical Sciences ; 9(T5):181-184, 2021.
Artigo em Inglês | EMBASE | ID: covidwho-2033200
ABSTRACT

BACKGROUND:

The coronavirus or COVID-19 was originally discovered in the Chinese city of Wuhan in December 2019 which quickly spread to various countries and caused a global pandemic. According to the WHO, this coronavirus is called SARS-CoV-2 or severe acute respiratory syndrome coronavirus 2, it attacks the respiratory tract suddenly and can be fatal or cause the sufferer’s mortality in a short time.

AIM:

This study aims to find predictors of risk factors for the mortality of people infected with COVID-19;thus, it can help medical personnel make decisions quickly whether the patient has a good or bad prognosis. Faster and more precise decision-making can increase the efficiency of the needs of limited resources.

METHODOLOGY:

This research used a cross-sectional design of data collection of patients who died and returned home with a diagnosis of COVID-19 from medical records data of PKU Muhammadiyah Gamping Yogyakarta Educational Hospital. Logistic regression test was counted with a level of significance (p) < 0.05 using SPSS v.21 software

RESULTS:

Subjects who died were 63 people or 48.8%, while subjects who were alive were 66 people or 51.2%. Female subjects were 61 people or 47.3%, while male subjects were 68 people or 52.7%. The logistic regression analysis results showed that the variables determining the risk factors for death (p < 0.05) included age, impaired lung function, impaired kidney function, and increased D-dimer.

CONCLUSION:

Four risk factors for patients with COVID-19 determined whether the patient dies or lives, namely, age, lung disorders, impaired kidney function, and increased d-dimer.
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Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: EMBASE Tipo de estudo: Estudo prognóstico Idioma: Inglês Revista: Open Access Macedonian Journal of Medical Sciences Ano de publicação: 2021 Tipo de documento: Artigo

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Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: EMBASE Tipo de estudo: Estudo prognóstico Idioma: Inglês Revista: Open Access Macedonian Journal of Medical Sciences Ano de publicação: 2021 Tipo de documento: Artigo