Jameela Edathodu, Ali Alsugair, Muneerah Al-Bugami, Ibrahim Alomar, Abdulmajeed Alrasheed, Roqayah Fadel, Waad Albalawi, Amal Alshammary, Abdullah Alsuhaim, Saleh Alghayti, AlJawharah Alkadi, Mushtafa Peedikayil, Haifa Aldakhil, Norah Albedah, Gamal Mohamed
{"title":"2019冠状病毒病住院患者疾病严重程度的预测因素。","authors":"Jameela Edathodu, Ali Alsugair, Muneerah Al-Bugami, Ibrahim Alomar, Abdulmajeed Alrasheed, Roqayah Fadel, Waad Albalawi, Amal Alshammary, Abdullah Alsuhaim, Saleh Alghayti, AlJawharah Alkadi, Mushtafa Peedikayil, Haifa Aldakhil, Norah Albedah, Gamal Mohamed","doi":"10.5144/0256-4947.2023.254","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus, manifests as a respiratory illness primarily and symptoms range from asymptomatic to severe respiratory syndrome and even death. During the pandemic, due to overcrowding of medical facilities, clinical assessment to triage patients for home care or in-hospital treatment was an essential element of management.</p><p><strong>Objectives: </strong>Study the demographic features, comorbidities and bio-markers that predict severe illness and mortality from COVID-19 infection.</p><p><strong>Design: </strong>Retrospective observational SETTING: Single tertiary care center PATIENTS AND METHODS: The study included all patients admitted with a positive PCR test for COVID-19 during the period from March 2020 to September 2020 (7 months). Data on demographics, clinical data and laboratory parameters was collected from medical records every 3 days during hospital stay or up until transfer to ICU.</p><p><strong>Main outcome measures: </strong>Demographic, comorbidities and biochemical features that might predict severe COVID-19 disease.</p><p><strong>Sample size: </strong>372 RESULTS: Of the 372 patients, 72 (19.4%) had severe disease requiring admission to intensive care unit (ICU); 6 (1.6%) died. Individuals over 62 years were more likely to be admitted to the ICU (<i>P</i>=.0001, while a BMI of 40 and higher increased the odds of severe disease (<i>P</i>=.032). Male gender (<i>P</i>=.042), hypertension (<i>P</i>=.006) and diabetes (<i>P</i>=.001) conferred a statistically significant increased risk of admission to ICU, while coexisting COPD, and ischemic heart disease did not. Laboratory features related to severe COVID-19 infection were: leukocytosis (<i>P</i>=.015), thrombocytopenia (<i>P</i>=.001), high levels of C-reactive protein (<i>P</i>=.0001), lactic dehydrogenase (<i>P</i>=.0001), D-dimer (<i>P</i>=.0001) and ferritin (<i>P</i>=.001). With the multivariate analysis, diabetes, high lac-tate dehydrogenase, C-reactive protein and thrombocytopenia were associated with severity of illness.</p><p><strong>Conclusions: </strong>Particular demographic and clinical parameters may predict severe illness and need for ICU care.</p><p><strong>Limitations: </strong>Single referral center, several cases of severe COVID-19 could not be included due to lack of consent and or data.</p><p><strong>Conflict of interest: </strong>None.</p>","PeriodicalId":8016,"journal":{"name":"Annals of Saudi Medicine","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10716835/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictors of disease severity in patients hospitalized with coronavirus disease 2019.\",\"authors\":\"Jameela Edathodu, Ali Alsugair, Muneerah Al-Bugami, Ibrahim Alomar, Abdulmajeed Alrasheed, Roqayah Fadel, Waad Albalawi, Amal Alshammary, Abdullah Alsuhaim, Saleh Alghayti, AlJawharah Alkadi, Mushtafa Peedikayil, Haifa Aldakhil, Norah Albedah, Gamal Mohamed\",\"doi\":\"10.5144/0256-4947.2023.254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus, manifests as a respiratory illness primarily and symptoms range from asymptomatic to severe respiratory syndrome and even death. During the pandemic, due to overcrowding of medical facilities, clinical assessment to triage patients for home care or in-hospital treatment was an essential element of management.</p><p><strong>Objectives: </strong>Study the demographic features, comorbidities and bio-markers that predict severe illness and mortality from COVID-19 infection.</p><p><strong>Design: </strong>Retrospective observational SETTING: Single tertiary care center PATIENTS AND METHODS: The study included all patients admitted with a positive PCR test for COVID-19 during the period from March 2020 to September 2020 (7 months). Data on demographics, clinical data and laboratory parameters was collected from medical records every 3 days during hospital stay or up until transfer to ICU.</p><p><strong>Main outcome measures: </strong>Demographic, comorbidities and biochemical features that might predict severe COVID-19 disease.</p><p><strong>Sample size: </strong>372 RESULTS: Of the 372 patients, 72 (19.4%) had severe disease requiring admission to intensive care unit (ICU); 6 (1.6%) died. Individuals over 62 years were more likely to be admitted to the ICU (<i>P</i>=.0001, while a BMI of 40 and higher increased the odds of severe disease (<i>P</i>=.032). Male gender (<i>P</i>=.042), hypertension (<i>P</i>=.006) and diabetes (<i>P</i>=.001) conferred a statistically significant increased risk of admission to ICU, while coexisting COPD, and ischemic heart disease did not. Laboratory features related to severe COVID-19 infection were: leukocytosis (<i>P</i>=.015), thrombocytopenia (<i>P</i>=.001), high levels of C-reactive protein (<i>P</i>=.0001), lactic dehydrogenase (<i>P</i>=.0001), D-dimer (<i>P</i>=.0001) and ferritin (<i>P</i>=.001). With the multivariate analysis, diabetes, high lac-tate dehydrogenase, C-reactive protein and thrombocytopenia were associated with severity of illness.</p><p><strong>Conclusions: </strong>Particular demographic and clinical parameters may predict severe illness and need for ICU care.</p><p><strong>Limitations: </strong>Single referral center, several cases of severe COVID-19 could not be included due to lack of consent and or data.</p><p><strong>Conflict of interest: </strong>None.</p>\",\"PeriodicalId\":8016,\"journal\":{\"name\":\"Annals of Saudi Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10716835/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Saudi Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5144/0256-4947.2023.254\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/3 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Saudi Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5144/0256-4947.2023.254","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/3 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Predictors of disease severity in patients hospitalized with coronavirus disease 2019.
Background: Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus, manifests as a respiratory illness primarily and symptoms range from asymptomatic to severe respiratory syndrome and even death. During the pandemic, due to overcrowding of medical facilities, clinical assessment to triage patients for home care or in-hospital treatment was an essential element of management.
Objectives: Study the demographic features, comorbidities and bio-markers that predict severe illness and mortality from COVID-19 infection.
Design: Retrospective observational SETTING: Single tertiary care center PATIENTS AND METHODS: The study included all patients admitted with a positive PCR test for COVID-19 during the period from March 2020 to September 2020 (7 months). Data on demographics, clinical data and laboratory parameters was collected from medical records every 3 days during hospital stay or up until transfer to ICU.
Main outcome measures: Demographic, comorbidities and biochemical features that might predict severe COVID-19 disease.
Sample size: 372 RESULTS: Of the 372 patients, 72 (19.4%) had severe disease requiring admission to intensive care unit (ICU); 6 (1.6%) died. Individuals over 62 years were more likely to be admitted to the ICU (P=.0001, while a BMI of 40 and higher increased the odds of severe disease (P=.032). Male gender (P=.042), hypertension (P=.006) and diabetes (P=.001) conferred a statistically significant increased risk of admission to ICU, while coexisting COPD, and ischemic heart disease did not. Laboratory features related to severe COVID-19 infection were: leukocytosis (P=.015), thrombocytopenia (P=.001), high levels of C-reactive protein (P=.0001), lactic dehydrogenase (P=.0001), D-dimer (P=.0001) and ferritin (P=.001). With the multivariate analysis, diabetes, high lac-tate dehydrogenase, C-reactive protein and thrombocytopenia were associated with severity of illness.
Conclusions: Particular demographic and clinical parameters may predict severe illness and need for ICU care.
Limitations: Single referral center, several cases of severe COVID-19 could not be included due to lack of consent and or data.
期刊介绍：
The Annals of Saudi Medicine (ASM) is published bimonthly by King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia. We publish scientific reports of clinical interest in English. All submissions are subject to peer review by the editorial board and by reviewers in appropriate specialties. The journal will consider for publication manuscripts from any part of the world, but particularly reports that would be of interest to readers in the Middle East or other parts of Asia and Africa. Please go to the Author Resource Center for additional information.
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