Evidence map›Paper›PMID 34430159›Full record

ArticleCureus2021

Characteristics and Outcomes of COVID-19 Patients Admitted to Intensive Care Units in a Large Health System in Western Pennsylvania.

Adeel Nasrullah, Thejus Jayakrishnan, Patrick Wedgeworth, Melissa Mosley, Kirtivardhan Vashistha, Aaron Haag, Veli Bakalov, Abhishek Chaturvedi, Susan Manzi, Anastasios Kapetanos

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Adeel NasrullahPulmonary and Critical Care Medicine, Allegheny Health Network, Pittsburgh, USA.
Thejus JayakrishnanInternal Medicine, Allegheny Health Network, Pittsburgh, USA.
Patrick WedgeworthInternal Medicine, Allegheny Health Network, Pittsburgh, USA.
Melissa MosleyInternal Medicine, Allegheny Health Network, Pittsburgh, USA.
Kirtivardhan VashisthaInternal Medicine, Allegheny Health Network, Pittsburgh, USA.
Aaron HaagInternal Medicine, Allegheny Health Network, Pittsburgh, USA.
Veli BakalovInternal Medicine, Allegheny Health Network, Pittsburgh, USA.
Abhishek ChaturvediInternal Medicine, Allegheny Health Network, Pittsburgh, USA.
Susan ManziRheumatology, Allegheny Health Network, Pittsburgh, USA.
Anastasios KapetanosInternal Medicine, Allegheny Health Network, Pittsburgh, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance Despite growing literature, there is still limited understanding of factors that can predict outcomes in coronavirus disease 2019 (COVID-19) patients who require intensive care. Objective To evaluate the characteristics of COVID-19 patients admitted to the intensive care unit (ICU) and identify their associations with outcomes. Background There are limited data on the outcomes in COVID-19 patients in Pennsylvania. Design Retrospective study Setting Intensive care units in an academic health system in Western Pennsylvania. Participants Patients with reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19 admitted to ICUs as direct admission or transfers from regular floors between March 1, 2020, and April 30, 2020. Main outcome(s) and measure(s) The primary outcome was inpatient mortality. Secondary outcomes included complications during ICU stay, hospital length of stay, discharge disposition, and the need for oxygen at discharge. Categorical variables are described as frequencies and continuous variables as median with interquartile range (IQR). Regression modeling was used to identify the predictors of inpatient mortality in these patients. P-value <0.05 was considered statistically significant. Analysis was performed using Stata version 15.1 (StataCorp, College Station, Texas). Results The cohort included 58 consecutive patients, with a median age of 62 years (IQR 54-73), 63.8% of which were male. On presentation, constitutional symptoms were the most common (91.4%), followed by lower respiratory tract symptoms (87.9%). Tachypnea (65.5%) and hypoxia (67.2%) were the most common abnormal vital signs at presentation. Common comorbidities were cardiovascular disease (74.1%), obesity (53.5%), and diabetes (39.7%). The median Acute Physiology and Chronic Health Evaluation (APACHE) score on admission to ICU was 11 (IQR 8.5-17.5). The major complications included acute respiratory distress syndrome (ARDS) 50.0%, shock 41.4%, and acute kidney injury 41.4%. The proportion of patients who underwent mechanical ventilation, required vasopressors, or were on renal replacement therapy were 58.6%, 41.4%, and 10.3%, respectively. Overall mortality was 32.8%. Age, Charlson-comorbidity index, tachypnea, lymphopenia at presentation, high APACHE score, shock, ARDS, mechanical ventilation, and steroid use were significantly associated with mortality. Of the patients who survived their ICU stay, 63.2% were discharged home and 44.7% had a new oxygen requirement at discharge. Conclusion and relevance Our study reports high mortality in COVID-19 patients requiring ICU care in Western Pennsylvania. Identifying factors associated with poor prognosis could help risk-stratify these patients. Prospective studies are needed to assess whether early risk stratification and triaging result in improved outcomes.

Indexed as

covid-19icumortalitypandemicsars-cov-2viral pneumonia

Identifiers

PMID34430159
PMCPMC8379706

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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.