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Predictors of Intensive Care Unit Admission or Mortality in Patients with Coronavirus Disease 2019 Pneumonia in Istanbul, Turkey.
Surme, Serkan; Buyukyazgan, Ahmet; Bayramlar, Osman Faruk; Cinar, Ayse Kurt; Copur, Betul; Zerdali, Esra; Tuncer, Gulsah; Balli, Hatice; Nakir, Inci Yilmaz; Yazla, Meltem; Kurekci, Yesim; Pehlivanoglu, Filiz; Sengoz, Gonul.
  • Surme S; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Buyukyazgan A; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Bayramlar OF; Department of Public Health, Bakirkoy District Health Directorate, Turkey.
  • Cinar AK; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Copur B; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Zerdali E; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Tuncer G; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Balli H; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Nakir IY; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Yazla M; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Kurekci Y; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Pehlivanoglu F; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
  • Sengoz G; Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, Turkey.
Jpn J Infect Dis ; 74(5): 458-464, 2021 Sep 22.
Article in English | MEDLINE | ID: covidwho-1497875
Semantic information from SemMedBD (by NLM)
1. Cessation of life PROCESS_OF Patients
Subject
Cessation of life
Predicate
PROCESS_OF
Object
Patients
2. Pneumonia PROCESS_OF Patients
Subject
Pneumonia
Predicate
PROCESS_OF
Object
Patients
3. Chest CT DIAGNOSES Prognosis bad
Subject
Chest CT
Predicate
DIAGNOSES
Object
Prognosis bad
4. procalcitonin ADMINISTERED_TO Patients
Subject
procalcitonin
Predicate
ADMINISTERED_TO
Object
Patients
5. Cessation of life PROCESS_OF Patients
Subject
Cessation of life
Predicate
PROCESS_OF
Object
Patients
6. Pneumonia PROCESS_OF Patients
Subject
Pneumonia
Predicate
PROCESS_OF
Object
Patients
7. Chest CT DIAGNOSES Prognosis bad
Subject
Chest CT
Predicate
DIAGNOSES
Object
Prognosis bad
8. procalcitonin ADMINISTERED_TO Patients
Subject
procalcitonin
Predicate
ADMINISTERED_TO
Object
Patients
ABSTRACT
We aimed to determine the predictors of intensive care unit (ICU) admission or death in patients with coronavirus disease 2019 (COVID-19) pneumonia. This retrospective, single-center study included patients aged ≥18 years who were diagnosed with COVID-19 pneumonia (laboratory and radiologically confirmed) between March 9 and April 8, 2020. The composite endpoint was ICU admission or in-hospital mortality. Univariate and multivariate logistic regression analyses were performed to evaluate the factors associated with the composite endpoint. A total of 336 patients with COVID-19 pneumonia were evaluated. The median age was 54 years (interquartile range 21), and 187 (55.7%) were men. Fifty-one (15.2%) patients were admitted to the ICU. In-hospital mortality occurred in 33 patients (9.8%). In the univariate analysis, 17 parameters were associated with the composite endpoint, and procalcitonin had the highest odds ratio (odds ratio [OR] = 36.568, confidence interval [CI] = 5.145-259.915). Our results revealed that body temperature (OR = 1.489, CI = 1.023-2.167, P = 0.037), peripheral capillary oxygen saturation (SpO2) (OR = 0.835, CI = 0.773-0.901, P < 0.001), and consolidation (> 25%) on chest computed tomography (OR = 3.170, CI = 1.218-8.252, P = 0.018) at admission were independent predictors. As a result, increased body temperature, decreased SpO2, a high level of procalcitonin, and degree of consolidation on chest computed tomography may predict a poor prognosis and have utility in the management of patients.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hospitalization / Intensive Care Units Type of study: Diagnostic study / Etiology study / Observational study / Prognostic study / Risk factors Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Jpn J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: Yoken.JJID.2020.1065

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hospitalization / Intensive Care Units Type of study: Diagnostic study / Etiology study / Observational study / Prognostic study / Risk factors Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Jpn J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: Yoken.JJID.2020.1065