Your browser doesn't support javascript.
Chronic Diseases as a Predictor for Severity and Mortality of COVID-19: A Systematic Review With Cumulative Meta-Analysis.
Geng, JinSong; Yu, XiaoLan; Bao, HaiNi; Feng, Zhe; Yuan, XiaoYu; Zhang, JiaYing; Chen, XiaoWei; Chen, YaLan; Li, ChengLong; Yu, Hao.
  • Geng J; Department of Medical Informatics, Medical School of Nantong University, Nantong, China.
  • Yu X; Department of Medical Informatics, Medical School of Nantong University, Nantong, China.
  • Bao H; Department of Medical Informatics, Medical School of Nantong University, Nantong, China.
  • Feng Z; Department of Medical Informatics, Medical School of Nantong University, Nantong, China.
  • Yuan X; Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
  • Zhang J; Department of Medical Informatics, Medical School of Nantong University, Nantong, China.
  • Chen X; Library and Reference Department, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, China.
  • Chen Y; Department of Medical Informatics, Medical School of Nantong University, Nantong, China.
  • Li C; Department of Medical Informatics, Medical School of Nantong University, Nantong, China.
  • Yu H; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
Front Med (Lausanne) ; 8: 588013, 2021.
Article in English | MEDLINE | ID: covidwho-1430704
ABSTRACT

Introduction:

Given the ongoing coronavirus disease 2019 (COVID-19) pandemic and the consequent global healthcare crisis, there is an urgent need to better understand risk factors for symptom deterioration and mortality among patients with COVID-19. This systematic review aimed to meet the need by determining the predictive value of chronic diseases for COVID-19 severity and mortality.

Methods:

We searched PubMed, Embase, Web of Science, and Cumulative Index to Nursing and Allied Health Complete to identify studies published between December 1, 2019, and December 31, 2020. Two hundred and seventeen observational studies from 26 countries involving 624,986 patients were included. We assessed the risk of bias of the included studies and performed a cumulative meta-analysis.

Results:

We found that among COVID-19 patients, hypertension was a very common condition and was associated with higher severity, intensive care unit (ICU) admission, acute respiratory distress syndrome, and mortality. Chronic obstructive pulmonary disease was the strongest predictor for COVID-19 severity, admission to ICU, and mortality, while asthma was associated with a reduced risk of COVID-19 mortality. Patients with obesity were at a higher risk of experiencing severe symptoms of COVID-19 rather than mortality. Patients with cerebrovascular disease, chronic liver disease, chronic renal disease, or cancer were more likely to become severe COVID-19 cases and had a greater probability of mortality.

Conclusions:

COVID-19 patients with chronic diseases were more likely to experience severe symptoms and ICU admission and faced a higher risk of mortality. Aggressive strategies to combat the COVID-19 pandemic should target patients with chronic diseases as a priority.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: Front Med (Lausanne) Year: 2021 Document Type: Article Affiliation country: Fmed.2021.588013

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: Front Med (Lausanne) Year: 2021 Document Type: Article Affiliation country: Fmed.2021.588013