Evidence map›Paper›PMID 39707192›Full record

Observational studyBMC anesthesiology2024

Incidence and factors associated with postoperative hemodynamic change in the postanaesthetic care unit among adult surgical patients at a tertiary care hospital in Ethiopia: a prospective observational study.

Yisehak Wolde, Sintayehu Samuel Lorato, Teketel Abebe, Gediwon Gebrehiwot, Selman Reshad, Hunde Amsalu, Sara Alemnew, Yidnekachew Dedachew, Mitiku Desalegn

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. 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

9 authors.

Yisehak WoldeDepartment of Anaesthesia, College of Medicine and Health Science, Wachemo University, Hosanna, Ethiopia. yisehakwolde140@gmail.com.
Sintayehu Samuel LoratoDepartment of Anaesthesia, College of Medicine and Health Science, Wachemo University, Hosanna, Ethiopia.
Teketel AbebeDepartment of Anaesthesia, College of Medicine and Health Science, Wachemo University, Hosanna, Ethiopia.
Gediwon GebrehiwotDepartment of Anaesthesia, College of Medicine and Health Science, Wachemo University, Hosanna, Ethiopia.
Selman ReshadDepartment of Anaesthesia, College of Medicine and Health Science, Wachemo University, Hosanna, Ethiopia.
Hunde AmsaluDepartment of Anaesthesia, College of Medicine and Health Science, Wachemo University, Hosanna, Ethiopia.
Sara AlemnewObstetrics and Gynaecology, Wachemo University College of Medicine and Health Science, Hossana, Ethiopia.
Yidnekachew DedachewEmergency and Critical Care Medicine, Wachemo University College of Medicine and Health Science, Hossana, Ethiopia.
Mitiku DesalegnDepartment of Anaesthesia, College of Medicine and Health Science, Wachemo University, Hosanna, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemodynamic changes are independent risk factors for long-term patient morbidity and duration of hospital stay. According to the statistics, the three most prevalent complications in the postanaesthesia care unit were airway events, haemodynamic instability, and postoperative nausea and vomiting. Hemodynamic instability in the postanaesthesia care unit can result in serious complications, such as long-term patient morbidity and prolonged hospital stays. This study aimed to determine the incidence and factors associated with haemodynamic changes among adult surgical patients in the postanaesthetic care unit.

methodsAn institution-based observational study was conducted from December 1, 2023, to June 30, 2024. In addition, 409 adult surgery patients participated. We employed consecutive sampling techniques and both analytical and descriptive statistics to explain our findings. Using both bivariable and multivariable logistic regression, we evaluated the strength of the association and determined the crude odds ratio and adjusted odds ratio with a 95% confidence interval. A p value of less than 0.05 was considered statistically significant in the multivariable regression.

resultsThe incidence of hemodynamic instability was 53.8% (CI: 45%, 64%). The incidences of hypotension, hypertension, tachycardia, and bradycardia were 24.2%, 17.45%, 31.3%, and 12.6%, respectively. ASA class III, procedures with more than 4 instances of intraoperative haemodynamic instability and neuraxial anaesthesia were significantly associated with haemodynamic instability in the postanaesthetic care unit.

conclusionIn general, 93 study subjects (22.7%) experienced advanced haemodynamic instability during the intraoperative period. This implies that the incidence of hemodynamic instability was high. Intraoperative haemodynamic instability, American Society of Anaesthesiology class III, postoperative respiratory adverse events, neurologic and gynaecological procedures, use of neuraxial anaesthesia, and prolonged duration of procedures were predictors of haemodynamic instability in the postanaesthesia care unit.

Indexed as

HemodynamicsPostoperative ComplicationsTertiary Care CentersAdultEthiopiaFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsYoung AdultHaemodynamic changePostanaesthetic care unitSurgical patients

Identifiers

PMID39707192
PMCPMC11660611

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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.