Predictors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Grafting: Development a Risk Scoring System

Functional capacity in smoking patients after coronary artery bypass grafting surgery: a quasi-experimental study

Coronary artery bypass grafting surgery (CABG) is an important approach to treating coronary heart disease. However, patients undergoing open heart surgery are at risk of postoperative complications. Cigarette smoking is one of the preoperative risk factors that may increase postoperative complications. Studies show that early mobilization intervention may reduce these complications and improve functional capacity, but the impact of smoking on early outcomes after CABG has been controversial for the past two decades. This quasi-experimental study explored the effects of early mobilization on functional capacity among patients with different smoking histories undergoing CABG. The study involved 51 participants who underwent CABG surgery, divided into three groups: current smokers, former smokers, and non-smokers (n=17 each). A day before surgery, all groups underwent a six-minute walking test (6MWT). Every participant received the same intervention after surgery, including deep breathing exercises, an upper limb range of motion assessment, an incentive spirometer, and walking with and without assistance. Five days postoperatively, all outcomes - including the 6MWT, length of stay (LOS) in the ICU, and postoperative pulmonary complications - were assessed, and the 6MWT was repeated. There was a reduced functional capacity after CABG in ex-smokers (215.8±102 m) and current smokers (272.7±97m) compared to non-smokers (298.5±97.1m) in terms of 6MWT (p<0.05). Current smokers were more likely to have atelectasis after CABG than ex-smokers (76.5% vs. 52.9%), with non-smokers being the least likely to have atelectasis among the three groups (29.4%, p<0.05). Additionally, current smokers required longer ventilator support post-CABG (11.9±7.3 hours) compared to ex-smokers (8.3±4.3 hours) and non-smokers (7±2.5 hours, p<0.01). Smoking status significantly impacts functional capacity reduction after CABG, with current smokers being more susceptible to prolonged ventilator use and atelectasis.

The Effect of Listening to Holy Quran Recital on Pain and Length of Stay Post-CABG: A Randomized Control Trial

Background

Nearly, 75% of patients post-CABG complain of moderate to severe pain during their hospital stay. Nonpharmacological interventions have been investigated; however, the effect of Holy Quran recital post-CABG is still not well studied, especially in developing Islamic countries.

Objective

To investigate the effect of listening to the Holy Quran recital on pain and length of stay post-CABG.

Methods

This was a randomized control trial on 132 patients recruited from four hospitals in Amman, Jordan. The intervention group listened to the Holy Quran recited for 10 minutes twice daily while the control group received the usual care. Data were analyzed using paired and independent samples t-tests.

Results

Paired t-test testing showed that there was a significant reduction in the pain level, (M [SD], 6.82 [2.27] vs. 4.65 [2.18], t = 23.65, p < 0.001) for the intervention group. In addition, the intervention group had shorter LoS in the ICU and in the hospital compared to the control group, (M [SD], 5.0 [4.02] vs. 6.58 [4.18], t = -2.1, p < 0.05), (M [SD], 10.15 [9.21] vs. 15.01 [13.14], t = -2.6, p < 0.05), respectively.

Conclusions

Listening to the Quran was significantly effective in improving pain intensity among post-CABG patients and shortening their hospital/ICU stay. This trial is registered with NCT05419554.

Factors Affecting the Length of Stay in the Intensive Care Unit among Adults in Saudi Arabia: A Cross-Sectional Study

This study aimed to assess patient-related factors associated with the LOS among adults admitted to the ICU in Saudi Arabia. The Ministry of Health provided a cross-sectional dataset for 2021, which served as the data source for this study. The data included data on adults admitted to different ICUs at various hospitals. The number of days spent in the ICU was the outcome variable of interest. The potential predictors were age, sex, and nationality, as well as clinical data from the time of admission. Descriptive statistics and bivariate analysis were used to analyse the association between the predictors and the ICU LOS and characterize how they were distributed. We used negative binomial regression to examine the relationship between the study predictors and the ICU LOS. A total of 42,884 individuals were included in this study, of whom 25,520 were men and 17,362 were women. The overall median ICU LOS was three days. This study showed that the ICU LOS was highly influenced by the patient's age, sex, nationality, source of admission, and clinical history. Several predictors that affect how long adults stay in the ICU in Saudi Arabian hospitals were identified in this study. These factors can be attributed to variances in health care delivery systems, patient demographics, and cultural considerations. To allocate resources efficiently, enhance patient outcomes, and create focused treatments to reduce ICU LOS, it is essential to comprehend these elements.

Complete surgical revascularization after NSTEMI and unstable angina in patients with multivessel coronary artery disease: Institutional experience

INTRODUCTION

The feasibility and standardization of coronary artery bypass grafting (CABG) in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) and unstable angina (UA) remain topics of ongoing debate. In this study, feasibility and early-term outcomes of CABG in patients with NSTE-ACS and UA were discussed.

METHODS

This study enrolled 79 patients who underwent on-pump CABG with complete revascularization between January 2020 and May 2022. the survival rates analyzed using Kaplan Meier test with log rank test. The p value of statistical significance was taken as below 0.05.

RESULTS

Preoperatively, the patients had a mean age of 60.9 years and a BMI of 28.0. The medical history included hypertension (50.6%), peripheral arterial disease and atrial fibrillation (12.7%), and other comorbidities such as COPD (22.8%) and type 2 diabetes mellitus (44.3%). Intraoperatively, the mean distal anastomosis count was 3.4, with average cardiopulmonary bypass and aortic cross-clamp times of 84.0 and 49.0 min, respectively. Early-term outcomes revealed low rates of mortality (2.5%) and complications such as myocardial infarction (1.3%), acute kidney injury (5.1%) and transient ischemic attack (5.1%). Post-discharge outcomes demonstrated low cardiac and all-cause mortality rates (2.5% and 3.8%, respectively) and a high overall survival rate (93.7%) at 12-month follow-up.

CONCLUSION

This study demonstrated the feasibility and positive outcomes of complete surgical revascularization in patients with UA and NSTE-ACS. It showed no graft occlusion or stroke, low complication rates and promising survival outcomes. Further research is needed for confirmation and to establish the procedure's efficacy and safety in this patient population.

Length of Hospital Stay and Its Related Factors in Iran: A Systematic Review and Meta-Analysis

Background

One of the effective indicators used to determine the efficiency and optimal use of hospital resources is the length of stay (LOS). Then, we aimed to determine LOS and its related factors in Iran.

Methods

A systematic literature review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines using the online databases; Medline, EMBASE, Scopus, PubMed, SID, MagIran, and Medlib from 1995 to 2022 using a combination of medical subject. STATA version 11 used for data analysis.

Results

Overall, 75 (cross-sectional, cohort, and case-control) reports were identified. The average length of stay in Iranian hospitals was 6.7 (95% CI: 5.32 -7.74) d. There was a significant relationship between the length of stay in the hospital and different wards of hospital (P=0.001). The average of men' LOS was longer than women were [6.9 (95% CI: 5.32 -7.74) vs. 3.9 (95% CI: 1.67-9.41)]. Moreover, the average LOS before and after the Health Transformation Plan (HTP) in Iran has changed, so that it has increased from 5.8 (95% CI: 4.39 -7.86) to 7.1 (95% CI: 5.59 -9.25) d after HTP (P=0.30).

Conclusion

The average length of stay of patients in Iranian hospitals is more than the expected index of the Ministry of Health and Medical Education and is in the unfavorable range (> four days). Moreover, considering the direct effect of the type of departments on LOS; therefore, hospital managers should pay more attention to hospital processes using new process-oriented and customer-oriented management approaches.

New-Onset Post-Operative Atrial Fibrillation in Patients Undergoing Coronary Artery Bypass Grafting Surgery - A Retrospective Case-Control Study

INTRODUCTION

New-onset postoperative atrial fibrillation (POAF) is a common complication following coronary artery bypass grafting (CABG) surgery.

OBJECTIVE

To explore predictive factors and potential mechanisms of new-onset POAF in isolated off-pump CABG patients.

METHODS

Retrospective observational case-control study of 233 patients undergoing isolated off-pump CABG surgery between August 2018 and July 2020 at the Department of Thoracic and Cardiovascular Surgery, the Affiliated Drum Tower Hospital of Nanjing University Medical School. Associations between predictor variables and new-onset POAF were identified. The main outcome was new-onset POAF after CABG surgery.

RESULTS

A total of 75 (32.19%) patients developed new-onset POAF after CABG surgery. The new-onset POAF patients had advanced age, higher baseline systolic blood pressure, more preoperative use of diuretic drug, more transfusion of blood products, atrial dilation and postoperative positive inotropic drug treatment. Nineteen variates entered the multivariable logistic regression model with a Hosmer-Lemeshow test score of 7.565 (P=0.477). Postoperative left atrial enlargement, postoperative drainage in the first 24 hours and total length of hospital stay were statistically significant, while postoperative right atrial enlargement (OR and 95% CI, 7.797 [0.200, 304.294], P=0.272) and left atrial enlargement (3.524 [1.141, 10.886], P=0.029) assessed by echocardiography had the largest OR value.

CONCLUSION

Atrial enlargement is strongly associated with new-onset POAF in patients with isolated off-pump CABG, thus it highlights the advantage of echocardiography as a useful tool for predicting new-onset POAF. Careful monitoring and timely intervention should be considered for these patients.

Preoperative physical performance predicts pulmonary complications after coronary artery bypass grafting: a prospective study

The purpose of this study is to evaluate the relationship between preoperative physical performance (grip strength, gait speed, timed up and go) and postoperative pulmonary complications (PPCs) in patients who have undergone coronary artery bypass grafting (CABG). From September 2019 to August 2021, a total of 497 CABG patients who met the inclusion criteria of this study were examined for grip strength, 4-m gait speed, and timed up and go (TUG) before CABG surgery. Among them, 438 were included in the final analysis. PPCs were classified according to the operational definition of Kroenke et al. and patients with clinically significant PPCs were included in the data analysis. Logistic regression was utilised to analyse the relationship between physical performance and clinically significant PPCs. Besides, the receiver operating characteristic (ROC) curve was applied to analyse the predictive effect of grip strength, gait speed, and TUG on clinically significant PPCs after the CABG procedure. In total, 103 (23.5%) patients developed clinically significant PPCs after CABG. After making adjustments for the European System for Cardiac Operative Risk Evaluation (EuroSCORE) and confounding factors, we established that low grip/weight (OR 0.510; 95% CI 0.363–0.715), slow gait speed (OR 0.619; 95% CI 0.517–0.741), and prolonged TUG (OR 1.617; 95% CI 1.379–1.895) were all independently correlated with clinically significant PPCs after CABG. The ROC curve analysis indicated that the area under the ROC curve of the integrated model of the three indicators (AUC 0.792 vs. 0.682, 0.754, 0.765) was larger than that of the model with a single indicator. Besides the predictive effect of the integrated model was superior to the models using grip/weight, gait speed, or TUG alone. Physical performance, including grip/weight, gait speed, and TUG, is a predictive factor for PPCs in CABG patients, and can be used in preoperative evaluations to and help improve the management of high-risk patients.

Predicting Intensive Care Unit Length of Stay After Acute Type A Aortic Dissection Surgery Using Machine Learning

Background: Patients with acute type A aortic dissection are usually transferred to the intensive care unit (ICU) after surgery. Prolonged ICU length of stay (ICU-LOS) is associated with higher level of care and higher mortality. We aimed to develop and validate machine learning models for predicting ICU-LOS after acute type A aortic dissection surgery.

Methods: A total of 353 patients with acute type A aortic dissection transferred to ICU after surgery from September 2016 to August 2019 were included. The patients were randomly divided into the training dataset (70%) and the validation dataset (30%). Eighty-four preoperative and intraoperative factors were collected for each patient. ICU-LOS was divided into four intervals (<4, 4–7, 7–10, and >10 days) according to interquartile range. Kendall correlation coefficient was used to identify factors associated with ICU-LOS. Five classic classifiers, Naive Bayes, Linear Regression, Decision Tree, Random Forest, and Gradient Boosting Decision Tree, were developed to predict ICU-LOS. Area under the curve (AUC) was used to evaluate the models' performance.

Results: The mean age of patients was 51.0 ± 10.9 years and 307 (87.0%) were males. Twelve predictors were identified for ICU-LOS, namely, D-dimer, serum creatinine, lactate dehydrogenase, cardiopulmonary bypass time, fasting blood glucose, white blood cell count, surgical time, aortic cross-clamping time, with Marfan's syndrome, without Marfan's syndrome, without aortic aneurysm, and platelet count. Random Forest yielded the highest performance, with an AUC of 0.991 (95% confidence interval [CI]: 0.978–1.000) and 0.837 (95% CI: 0.766–0.908) in the training and validation datasets, respectively.

Conclusions: Machine learning has the potential to predict ICU-LOS for acute type A aortic dissection. This tool could improve the management of ICU resources and patient-throughput planning, and allow better communication with patients and their families.