Evidence map›Paper›PMID 36756481›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2023

Association of Mortality with Lymphocyte Subset in Patients with COVID-19-associated Acute Respiratory Failure: A Subgroup Analysis.

Sonali Vadi, Ashwini Pednekar, Durga Suthar, Neha Sanwalka, Nikhil Rabade, Kiran Ghodke

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 2 countries.

Sonali VadiDepartment of Intensive Care Medicine, Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-7341-2407
Ashwini PednekarDepartment of Intensive Care Medicine, Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0003-3917-7498
Durga SutharDepartment of Intensive Care Medicine, Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-9533-1069
Neha SanwalkaDepartment of Nutrition and Biostatistics, NutriCanvas, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0003-3428-3144
Nikhil RabadeDepartment of Hematology, Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0003-4074-4920
Kiran GhodkeDepartment of Hematology, Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-0810-2349
Kokilaben Dhirubhai Ambani Hospital · INFundación Española de la Nutrición · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes pneumonia and lymphopenia. We investigated the predictive value of T-lymphocyte subset absolute counts for outcomes following coronavirus disease-2019 (COVID-19)-associated acute respiratory failure (C-ARF). Patients and methods: A retrospective chart review of adult patients with C-ARF was undertaken from 23 March 2020 to 20 November 2021 to obtain relevant data. Patients were divided into two groups based on survival. The T-lymphocyte subsets were determined by flow cytometric analysis. A binomial logistic regression was performed to ascertain factors affecting survival. Cut-off values to differentiate between survivors and non-survivors were identified with the receiver operating characteristic (ROC) analysis. Results: A total of 379 patients were analyzed. Age was negatively correlated with survival. Non-survivors had significantly lower T-lymphocyte subset absolute counts than survivors. Serum ferritin levels were significantly higher in non-survivors. Baseline lymphocyte (%) and a subset were predictive of survival in patients [lymphocyte (%) <5.65%, CD3+ <321 cells/µL, CD4+ <205 cells/µL, CD8+ <103 cells/µL]. Conclusions: Lower T-lymphocyte subsets were associated with higher mortality in patients with C-ARF. Monitoring trends may help in identifying patients at increased risk of poor outcomes. How to cite this article: Vadi S, Pednekar A, Suthar D, Sanwalka N, Rabade N, Ghodke K. Association of Mortality with Lymphocyte Subset in Patients with COVID-19-associated Acute Respiratory Failure: A Subgroup Analysis. Indian J Crit Care Med 2023;27(1):52-56.

Indexed as

Acute respiratory failureCOVID-19 infectionOutcomesSevere acute respiratory syndrome coronavirus 2T-lymphocyte subsets

Identifiers

PMID36756481
PMCPMC9886051
OpenAlexW4313437800

What OpenQuestion holds

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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.