Risk Prediction for Complications in Inflammatory Bowel Disease Surgery: External Validation of the American College of Surgeons' National Surgical Quality Improvement Program Surgical Risk Calculator

Systematic review and meta-analysis: Impact of depression on prognosis in inflammatory bowel disease

BACKGROUND AND AIM

Depression is highly prevalent in patients with inflammatory bowel disease (IBD), which may affect the prognosis of IBD. This aimed to investigate the impact of depression on prognosis in IBD.

METHODS

A systematic literature search was performed in four databases (Medline, Embase, Web of Science, and PsycINFO) up to December 31, 2023. Studies were included if they investigated the impact of depression on prognosis in IBD. The primary outcome was flare in IBD, and secondary outcomes were hospitalization, readmission, emergency visits, surgery, and escalation of medical therapy. Relative risks (RRs) were utilized to estimate the risk in each of the above prognostic indicators.

RESULTS

Fourteen cohort and 10 case-control studies matched our entry criteria, comprising 630 408 patients with IBD. Twenty-two of included studies were considered to have a low risk of bias. Depression was found to significantly increase the risk of flare (RR = 1.37, 95% CI 1.16-1.63), hospitalization (RR = 1.11, 95% CI 1.00-1.23), readmission (RR = 1.32, 95% CI 1.04-1.67), emergency visits (RR = 1.33, 95% CI 1.12-1.59), surgery (1.38, 95% CI 1.08-1.76), and escalation of medical therapy (RR = 1.38, 95% CI 1.13-1.69) in IBD. Of note, patients with depression in ulcerative colitis had significant differences in readmission (RR = 1.38, 95% CI 1.19-1.60) and escalation of medical therapy (RR = 1.78, 95% CI 1.55-2.04). Additionally, the association was observed in patients with Crohn's disease in terms of flare (RR = 1.47, 95% CI 1.08-2.01) and hospitalization (RR = 1.20, 95% CI 1.03-1.40).

CONCLUSIONS

Current evidence suggested that depression could significantly increase the risk of poor prognosis worsening in patients with IBD. However, the association varied in IBD subtypes.

Quality improvement exercises in Inflammatory Bowel Disease (IBD) services: A scoping review

OBJECTIVE

Quality Improvement initiatives aim to improve care in Inflammatory Bowel Disease (IBD). These address a range of aspects of care including adherence to published guidelines. The objectives of this review were to document the scope and quality of published quality improvement initiatives in IBD, highlight successful interventions and the outcomes achieved.

DESIGN/METHOD

We searched MEDLINE, EMBASE, CINAHL and Web of Science. Two reviewers independently screened and extracted data. We included peer reviewed articles or conference proceedings reporting initiatives intended to improve the quality of IBD care, with both baseline and prospectively collected follow-up data. Initiatives were categorised based on problems, interventions and outcomes. We used the Quality Improvement Minimum Quality Criteria Set instrument to appraise articles. We mapped the focus of the articles to the six domains of the IBD standards.

RESULTS

100 studies were identified (35 full text; 65 conference abstracts). Many focused on vaccination, medication, screening, or meeting multiple quality measures. Common interventions included provider education, the development of new service protocols, or enhancements to the electronic medical records. Studies principally focused on areas covered by the IBD standards 'ongoing care' and 'the IBD service', with less focus on standards 'pre-diagnosis', 'newly diagnosed', 'flare management', 'surgery' or 'inpatient care'.

CONCLUSION

Good quality evidence exists on approaches to improve the quality of a narrow range of IBD service functions, but there are many topic areas with little or no published quality improvement initiatives. We highlight successful quality improvement interventions and offer recommendations to improve reporting of future studies.

A New Nomogram-Based Prediction Model for Postoperative Outcome after Sigmoid Resection for Diverticular Disease

Background and Objectives: Sigmoid resection still bears a considerable risk of complications. The primary aim was to evaluate and incorporate influencing factors of adverse perioperative outcomes following sigmoid resection into a nomogram-based prediction model. Materials and Methods: Patients from a prospectively maintained database (2004-2022) who underwent either elective or emergency sigmoidectomy for diverticular disease were enrolled. A multivariate logistic regression model was constructed to identify patient-specific, disease-related, or surgical factors and preoperative laboratory results that may predict postoperative outcome. Results: Overall morbidity and mortality rates were 41.3% and 3.55%, respectively, in 282 included patients. Logistic regression analysis revealed preoperative hemoglobin levels (p = 0.042), ASA classification (p = 0.040), type of surgical access (p = 0.014), and operative time (p = 0.049) as significant predictors of an eventful postoperative course and enabled the establishment of a dynamic nomogram. Postoperative length of hospital stay was influenced by low preoperative hemoglobin (p = 0.018), ASA class 4 (p = 0.002), immunosuppression (p = 0.010), emergency intervention (p = 0.024), and operative time (p = 0.010). Conclusions: A nomogram-based scoring tool will help stratify risk and reduce preventable complications.