Evidence map›Paper›PMID 26262995›Full record

ArticlePloS one2015

Case-Mix, Care Processes, and Outcomes in Medically-Ill Patients Receiving Mechanical Ventilation in a Low-Resource Setting from Southern India: A Prospective Clinical Case Series.

Balasubramanian Karthikeyan, Tamilarasu Kadhiravan, Surendran Deepanjali, Rathinam Palamalai Swaminathan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06288724 (Potentially MOdifiable Factors To ImproVe Outcomes of Mechanically Ventilated Patients in ICUs in a Low-income Country), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% 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.

NCT06288724 unknown statusnot on this mapstarted 2024, after this paper: background citation

Potentially MOdifiable Factors To ImproVe Outcomes of Mechanically Ventilated Patients in ICUs in a Low-income Country: Rationale and Protocol for a Registry-embedded Prospective Observational Study

Typeobservational_patient_registrySponsorNat Intensive Care Surveillance - MORURan2024 to 2024Enrolled625ConditionsCritical Illness, Invasive Mechanical Ventilation, ICU Mortality, Developing Countries
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Article
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  8. Review
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  11. Evaluation of Quality Indicators in an Indian Intensive Care Unit Using "CHITRA" Database.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2017
    Article
  12. 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

4 authors at 1 institution in 1 country.

Balasubramanian KarthikeyanDepartment of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Puducherry, India.
Tamilarasu KadhiravanDepartment of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Puducherry, India.
Surendran DeepanjaliDepartment of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Puducherry, India.
Rathinam Palamalai SwaminathanDepartment of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Puducherry, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanical ventilation is a resource intensive organ support treatment, and historical studies from low-resource settings had reported a high mortality. We aimed to study the outcomes in patients receiving mechanical ventilation in a contemporary low-resource setting.

methodsWe prospectively studied the characteristics and outcomes (disease-related, mechanical ventilation-related, and process of care-related) in 237 adults mechanically ventilated for a medical illness at a teaching hospital in southern India during February 2011 to August 2012. Vital status of patients discharged from hospital was ascertained on Day 90 or later.

resultsMean age of the patients was 40 ± 17 years; 140 (51%) were men. Poisoning and envenomation accounted for 98 (41%) of 237 admissions. In total, 87 (37%) patients died in-hospital; 16 (7%) died after discharge; 115 (49%) were alive at 90-day assessment; and 19 (8%) were lost to follow-up. Weaning was attempted in 171 (72%) patients; most patients (78 of 99 [79%]) failing the first attempt could be weaned off. Prolonged mechanical ventilation was required in 20 (8%) patients. Adherence to head-end elevation and deep vein thrombosis prophylaxis were 164 (69%) and 147 (62%) respectively. Risk of nosocomial infections particularly ventilator-associated pneumonia was high (57.2 per 1,000 ventilator-days). Higher APACHE II score quartiles (adjusted HR [95% CI] quartile 2, 2.65 [1.19-5.89]; quartile 3, 2.98 [1.24-7.15]; quartile 4, 5.78 [2.45-13.60]), and new-onset organ failure (2.98 [1.94-4.56]) were independently associated with the risk of death. Patients with poisoning had higher risk of reintubation (43% vs. 20%; P = 0.001) and ventilator-associated pneumonia (75% vs. 53%; P = 0.001). But, their mortality was significantly lower compared to the rest (24% vs. 44%; P = 0.002).

conclusionsThe case-mix considerably differs from other settings. Mortality in this low-resource setting is similar to high-resource settings. But, further improvements in care processes and prevention of nosocomial infections are required.

Indexed as

Outcome Assessment, Health CareAdultCritical IllnessFemaleHumansIndiaIntensive Care UnitsKaplan-Meier EstimateLength of StayMaleMiddle AgedProspective StudiesRespiration, ArtificialYoung Adult

Identifiers

PMID26262995
PMCPMC4532502
OpenAlexW1958515784

What OpenQuestion holds

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Registered trials

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.