Clinical Characteristics of Hospitalized Patients With COVID-19 and Their Association With the Progression to Critical Illness and Death: A Single-Center Retrospective Study From Northwestern Mexico
Francisco A. Martínez-Villa, Uriel A. Angulo-Zamudio, Nidia Leon-Sicairos, Ricardo González-Esparza, Jaime Sanchez-Cuen, Jesus J. Martinez-Garcia, Hector Flores-Villaseñor, Julio Medina-Serrano, Adrian Canizalez-Roman
{"title":"Clinical Characteristics of Hospitalized Patients With COVID-19 and Their Association With the Progression to Critical Illness and Death: A Single-Center Retrospective Study From Northwestern Mexico","authors":"Francisco A. Martínez-Villa, Uriel A. Angulo-Zamudio, Nidia Leon-Sicairos, Ricardo González-Esparza, Jaime Sanchez-Cuen, Jesus J. Martinez-Garcia, Hector Flores-Villaseñor, Julio Medina-Serrano, Adrian Canizalez-Roman","doi":"10.1111/crj.13813","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The objective of this study was to associate the epidemiological and clinical characteristics of patients hospitalized for COVID-19 with the progression to critical illness and death in northwestern Mexico.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>From March to October 2020, we collected the demographic and clinical characteristics of 464 hospitalized patients from northwestern Mexico.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Sixty-four percent (295/464) of the patients became critically ill. Age, occupation, steroid and antibiotic use at previous hospitalization, and underlying diseases (hypertension, obesity, and chronic kidney disease) were associated with critical illness or death (<i>p</i>: < 0.05). No symptoms were associated with critical illness. However, the parameters such as the heart rate, respiratory rate, oxygen saturation, and diastolic pressure and the laboratory parameters such as the glucose, creatinine, white line cells, hemoglobin, D-dimer, and C-reactive protein, among others, were associated with critical illness (<i>p</i>: < 0.05). Finally, advanced age, previous hospital treatment, and the presence of one or more underlying diseases were associated with critical illness and death (<i>p</i>: < 0.02).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Several epidemiological (e.g., age and occupation) and clinical factors (e.g., previous treatment, underlying diseases, and vital signs and laboratory parameters) were associated with critical illness and death in patients hospitalized with COVID-19. These data provide us with possible markers to avoid critical illness or death from COVID-19 in our region.</p>\n </section>\n </div>","PeriodicalId":55247,"journal":{"name":"Clinical Respiratory Journal","volume":"18 7","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/crj.13813","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Respiratory Journal","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/crj.13813","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
The objective of this study was to associate the epidemiological and clinical characteristics of patients hospitalized for COVID-19 with the progression to critical illness and death in northwestern Mexico.
Methods
From March to October 2020, we collected the demographic and clinical characteristics of 464 hospitalized patients from northwestern Mexico.
Results
Sixty-four percent (295/464) of the patients became critically ill. Age, occupation, steroid and antibiotic use at previous hospitalization, and underlying diseases (hypertension, obesity, and chronic kidney disease) were associated with critical illness or death (p: < 0.05). No symptoms were associated with critical illness. However, the parameters such as the heart rate, respiratory rate, oxygen saturation, and diastolic pressure and the laboratory parameters such as the glucose, creatinine, white line cells, hemoglobin, D-dimer, and C-reactive protein, among others, were associated with critical illness (p: < 0.05). Finally, advanced age, previous hospital treatment, and the presence of one or more underlying diseases were associated with critical illness and death (p: < 0.02).
Conclusions
Several epidemiological (e.g., age and occupation) and clinical factors (e.g., previous treatment, underlying diseases, and vital signs and laboratory parameters) were associated with critical illness and death in patients hospitalized with COVID-19. These data provide us with possible markers to avoid critical illness or death from COVID-19 in our region.
期刊介绍:
Overview
Effective with the 2016 volume, this journal will be published in an online-only format.
Aims and Scope
The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic.
We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including:
Asthma
Allergy
COPD
Non-invasive ventilation
Sleep related breathing disorders
Interstitial lung diseases
Lung cancer
Clinical genetics
Rhinitis
Airway and lung infection
Epidemiology
Pediatrics
CRJ provides a fast-track service for selected Phase II and Phase III trial studies.
Keywords
Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease,
Abstracting and Indexing Information
Academic Search (EBSCO Publishing)
Academic Search Alumni Edition (EBSCO Publishing)
Embase (Elsevier)
Health & Medical Collection (ProQuest)
Health Research Premium Collection (ProQuest)
HEED: Health Economic Evaluations Database (Wiley-Blackwell)
Hospital Premium Collection (ProQuest)
Journal Citation Reports/Science Edition (Clarivate Analytics)
MEDLINE/PubMed (NLM)
ProQuest Central (ProQuest)
Science Citation Index Expanded (Clarivate Analytics)
SCOPUS (Elsevier)