Evidence map›Paper›PMID 37614431›Full record

ArticleExperimental and therapeutic medicine2023

Predictors of negative outcomes in hospitalized patients with SARS‑CoV‑2 pneumonia: A retrospective study.

Alexandra-Maria Cristea, Dragos-Cosmin Zaharia, Daniela Jipa-Duna, Stefan Dumitrache-Rujinski, Oana Andreea Parliteanu, Alexandru Miron Bogdan, Claudia Lucia Toma

Abstract read
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Article in Experimental and therapeutic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Alexandra-Maria CristeaDepartment of Pneumology I, Carol Davila University of Medicine and Pharmacy, Bucharest 020021, Romania.
Dragos-Cosmin ZahariaDepartment of Pneumology I, Carol Davila University of Medicine and Pharmacy, Bucharest 020021, Romania.
Daniela Jipa-DunaDepartment of Pneumology I, Carol Davila University of Medicine and Pharmacy, Bucharest 020021, Romania.
Stefan Dumitrache-RujinskiDepartment of Pneumology I, Carol Davila University of Medicine and Pharmacy, Bucharest 020021, Romania.
Oana Andreea ParliteanuDepartment of Ambulatory Diabetes, Marius Nasta Institute of Pneumology, Bucharest 050159, Romania.
Alexandru Miron BogdanDepartment of Pneumology I, Carol Davila University of Medicine and Pharmacy, Bucharest 020021, Romania.
Claudia Lucia TomaDepartment of Pneumology I, Carol Davila University of Medicine and Pharmacy, Bucharest 020021, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic posed a serious threat to human health worldwide after the first case was identified in December 2019. Specific therapeutic options for COVID-19 are lacking; thus, the treatment of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is complex in clinical practice. Despite the development of treatment options and methods to limit the spread of SARS-CoV-2, certain patients experience critical illness and numerous deaths have occurred. Notably, treatment of this disease is complex due to the evolution of viral mutations and variants with different rates of infection. Moreover, specific patient characteristics may be associated with rapid disease progression and poor outcomes. Thus, the present study aimed to identify the specific characteristics of patients who developed poor outcomes, including clinical manifestations, blood samples (blood cell count and coagulation tests) at hospital admission and comorbidities. The present study included a total of 1,813 patients hospitalized with pneumonia and SARS-CoV-2 infection, and mortality rates associated with each patient characteristic were calculated. The characteristics associated with the highest risk of mortality were as follows: Age >90 years (OR, 105; 95% CI, 17.70-2,023.00); oxygen saturation at the time of hospital admission <89% in room air (OR, 14.3; 95% CI, 7.54-30.7), admission to the Intensive Care Unit (OR, 39.4; 95% CI, 27.7-57.0); and a neutrophil/lymphocyte ratio of 8.76-54.2 (OR, 14; 95% CI, 7.62-29.0). Treatment of patients with SARS-CoV-2 pneumonia represents a challenge for the healthcare system, but there are a number of predictors for poor patient outcomes that could be identified at the time of hospital admission.

Indexed as

comorbiditiescoronavirus disease 2019mortalityoutcomepandemic

Identifiers

PMID37614431
PMCPMC10443062

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.