Evidence map›Paper›PMID 36213712›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2022

Changing Critical Care Patterns and Associated Outcomes in Mechanically Ventilated Severe COVID-19 Patients in Different Time Periods: An Explanatory Study from Central India.

Saurabh Saigal, Ankur Joshi, Rajesh Panda, Abhishek Goyal, Saiteja Kodamanchili, Abhijeet Anand, Dodda Brahmam, Surya Jha, Abhijit Pakhare, Sunaina Tejpal Karna and 6 more

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Changes in Driving Pressure vs Oxygenation as Predictor of Mortality in Moderate to Severe Acute Respiratory Distress Syndrome Patients Receiving Prone Position Ventilation.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
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

16 authors.

Saurabh SaigalDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-2364-2271
Ankur JoshiDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-4145-723X
Rajesh PandaDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0001-7123-876X
Abhishek GoyalDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-1719-4505
Saiteja KodamanchiliDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0003-1033-0321
Abhijeet AnandDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0001-6498-5388
Dodda BrahmamDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0003-1127-2629
Surya JhaDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0003-2239-9166
Abhijit PakhareDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0003-2897-4141
Sunaina Tejpal KarnaDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-4200-5948
Alkesh KhuranaDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-9646-4971
Pooja SinghDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0003-0556-7359
Yogesh NiwariyaDepartment of Cardiothoracic Surgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0001-6699-1984
Sagar KhadangaDepartment of Medicine, AIIMS Bhopal Saket Nagar, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-8126-4459
Jai Prakash SharmaDepartment of Anaesthesiology and Intensive Care, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0003-4147-1637
Rajnish JoshiDepartment of Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0001-9201-3914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The outcomes in critical illness depend on disease severity, practice protocols, workload, and access to care. This study investigates the factors affecting outcomes in mechanically ventilated coronavirus disease-2019 acute respiratory distress syndrome (COVID-19 ARDS) patients admitted in a tertiary teaching hospital intensive care unit (ICU) in Central India with reference to different time periods in pandemic. This is one of the largest series of mechanically ventilated COVID-19 ARDS patients, globally. Methods: This retrospective cohort study classified the entire data into four time periods (Period 1: April 2020 to June 2020; Period 2: July 2020 to September 2020; Period 3: October 2020 to December 2020; and Period 4: January 2021 to April 2021). We performed a multivariable-adjusted analysis to evaluate predictors of mortality, adjusted for baseline-severity, sequential organ failure assessment (SOFA score) and time period. We applied mixed-effect binomial logistic regression to model fixed-effect variables with incremental complexity. Results: Among the 56 survivors (19.4%) out of 288 mechanically ventilated patients, there was an up-gradient of survival proportion (0, 18.2, 17.4, and 28.6%) in four time periods. Symptom-intubation interval (OR 1.16; 95% CI 1.03-1.31) and driving pressures (DPs) (OR 1.17; 95% CI 1.07-1.28) were significant predictors of mortality in the model having minimal AIC and BIC values. Patients aged above 60 years also had a larger effect, but statistically insignificant effect favoring mortality (OR 1.99; 95% CI 0.92-4.27). The most complex but less parsimonious model (with higher AIC/BIC) indicated the protective odds of high steroid on mortality (OR 0.59; 95% CI 0.59-0.82). Conclusion: The outcomes in mechanically ventilated COVID-19 ARDS patients are heterogeneous across time windows and may be affected by the complex interaction of baseline risk and critical care parameters. How to cite this article: Saigal S, Joshi A, Panda R, Goyal A, Kodamanchili S, Anand A,

Indexed as

Acute respiratory distress syndromeCoronavirus disease-2019Intensive care unitMechanical ventilation

Identifiers

PMID36213712
PMCPMC9492749

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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.