Observational studyBMJ open2016
Factors associated with prolonged length of stay following cardiac surgery in a major referral hospital in Oman: a retrospective observational study.
Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02945358 (Assessment of OHIR Score to Predict a Prolonged Intensive Care Unit Stay for Adult Patients Undergoing Cardiac Surgery With Cardiopulmonary Bypass), which is not on this map. Cited by 48 papers, 3 of them syntheses that pooled 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.
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.
Assessment of OHIR Score to Predict a Prolonged Intensive Care Unit Stay for Adult Patients Undergoing Cardiac Surgery With Cardiopulmonary Bypass
Who cites it
48 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Efficacy of N-acetylcysteine for Prevention of Postoperative Atrial Fibrillation Following Coronary Artery Bypass Grafting: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Reviews in cardiovascular medicine · 2024Pooled it
- Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- N-acetylcysteine use among patients undergoing cardiac surgery: A systematic review and meta-analysis of randomized trials.PloS one · 2019Pooled it
- Cardiac protective effects of remote ischaemic preconditioning in children undergoing tetralogy of fallot repair surgery: a randomized controlled trial.European heart journal · 2018Trial
- Factors Associated with Hospital Length of Stay After Coronary Artery Bypass Grafting: Perioperative Characteristics and Postoperative Complication Burden.Healthcare (Basel, Switzerland) · 2026Article
- Perioperative predictors of delayed recovery after pancreatic and biliary surgeries: The role of hematologic indices.SAGE open medicine · 2026Article
- Article
- Postoperative hospital stay and associated factors among adult surgical patients at a specialized hospital in Ethiopia.BMC surgery · 2025Article
- Development and validation of an interpretable nomogram for predicting the risk of the prolonged postoperative length of stay for tuberculous spondylitis: a novel approach for risk stratification.BMC musculoskeletal disorders · 2025Article
- Article
- Predictors of Prolonged Intensive Care Unit Stay and In-Hospital Mortality Following Cardiac Surgery: An Integrated Analysis from the PROCARD-ATI Study.Journal of clinical medicine · 2025Article
- Article
- Article
- Predicting Extended Intensive Care Unit Stay Following Coronary Artery Bypass Grafting and Its Impact on Hospitalization and Mortality.Journal of clinical medicine research · 2025Article
- Impact of vasopressin use for postoperative atrial fibrillation in off-pump coronary artery bypass grafting.Nagoya journal of medical science · 2024Observational
- Association Between Body Mass Index, Obesity, and Clinical Outcomes Following Coronary Artery Bypass Grafting in Brazil: An Analysis of One Year of Follow-up of BYPASS Registry Patients.Brazilian journal of cardiovascular surgery · 2024Article
- Outcomes after Perioperative Transient Ischemic Attack Following Cardiac Surgery.Journal of cardiovascular development and disease · 2024Article
- Identifying patients at risk of prolonged hospital length of stay after total knee arthroplasty: A real-world study on the creation and validation of a cloud estimator.Biomolecules & biomedicine · 2024Article
- Development of a machine learning model to estimate length of stay in coronary artery bypass grafting.Revista de saude publica · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTwo objectives were set for this study. The first was to identify factors influencing prolonged postoperative length of stay (LOS) following cardiac surgery. The second was to devise a predictive model for prolonged LOS in the cardiac intensive care unit (CICU) based on preoperative factors available at admission and to compare it against two existing cardiac stratification systems.
designObservational retrospective study. SETTINGS: A tertiary hospital in Oman.
participantsAll adult patients who underwent cardiac surgery at a major referral hospital in Oman between 2009 and 2013.
results30.5% of the patients had prolonged LOS (≥11 days) after surgery, while 17% experienced prolonged ICU LOS (≥5 days). Factors that were identified to prolong CICU LOS were non-elective surgery, current congestive heart failure (CHF), renal failure, combined coronary artery bypass graft (CABG) and valve surgery, and other non-isolated valve or CABG surgery. Patients were divided into three groups based on their scores. The probabilities of prolonged CICU LOS were 11%, 26% and 28% for group 1, 2 and 3, respectively. The predictive model had an area under the curve of 0.75. Factors associated with prolonged overall postoperative LOS included the body mass index, the type of surgery, cardiopulmonary bypass machine use, packed red blood cells use, non-elective surgery and number of complications. The latter was the most important determinant of postoperative LOS.
conclusionsPatient management can be tailored for individual patient based on their treatments and personal attributes to optimise resource allocation. Moreover, a simple predictive score system to enable identification of patients at risk of prolonged CICU stay can be developed using data that are routinely collected by most hospitals.
Indexed as
Identifiers
What OpenQuestion holds
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.