Nationwide volume-outcome relationship concerning in-hospital mortality and failure-to-rescue in surgery of sigmoid diverticulitis

Treatment of Anorectal Malformations in German Hospitals: Analysis of National Hospital Discharge Data from 2016 to 2021

BACKGROUND

 Anorectal malformations (ARMs) are complex congenital anomalies. The corrective operation is demanding and schedulable. Based on complete national data, patterns of care have not been analyzed in Germany yet.

METHODS

 All cases with ARM were analyzed (1) at the time of birth and (2) during the hospital stay for the corrective operation, based on the national hospital discharge data (DRG statistics). Patient's comorbidities, treatment characteristics, hospital structures, and the outcome of corrective operations were analyzed with respect to the hospitals' caseload.

RESULTS

 From 2016 to 2021, 1,726 newborns with ARM were treated at the time of birth in 388 hospitals. Of these hospitals, 19% had neither a pediatric nor a pediatric surgical department. At least one additional congenital anomaly was present in 49% of cases and 7% of the newborns had a birthweight below 1,500 g.In all, 2,060 corrective operations for ARM were performed in 113 hospitals in the same time period. In 24.5% of cases, at least one major complication was documented. One-third of the operations were performed in 56 hospitals, one-third in 20 hospitals, and one-third in 10 hospitals with median annual case numbers of 2, 5, and 10, respectively.Hospitals with the highest caseload operated cloacal defects more often than hospitals with the lowest caseload (7 vs. 2%) and had more early complications than hospitals with the lowest caseload (30 vs. 21%). This difference was not statistically significant after risk adjustment.

CONCLUSIONS

 Children with ARM are multimorbid. Early complications after corrective surgery are common. Considering the large number of hospitals with a very low caseload, centralization of care for the complex and elective corrective surgery for ARM remains a key issue for quality of care.

Development of an image-based Random Forest classifier for prediction of surgery duration of laparoscopic sigmoid resections

PURPOSE

Sigmoid diverticulitis is a disease with a high socioeconomic burden, accounting for a high number of left-sided colonic resections worldwide. Modern surgical scheduling relies on accurate prediction of operation times to enhance patient care and optimize healthcare resources. This study aims to develop a predictive model for surgery duration in laparoscopic sigmoid resections, based on preoperative CT biometric and demographic patient data.

METHODS

This retrospective single-center cohort study included 85 patients who underwent laparoscopic sigmoid resection for diverticular disease. Potentially relevant procedure-specific anatomical parameters recommended by a surgical expert were measured in preoperative CT imaging. After random split into training and test set (75% / 25%) multiclass logistic regression was performed and a Random Forest classifier was trained on CT imaging parameters, patient age, and sex in the training cohort to predict categorized surgery duration. The models were evaluated in the test cohort using established performance metrics including receiver operating characteristics area under the curve (AUROC).

RESULTS

The Random Forest model achieved a good average AUROC of 0.78. It allowed a very good prediction of long (AUROC = 0.89; specificity 0.71; sensitivity 1.0) and short (AUROC = 0.81; specificity 0.77; sensitivity 0.56) procedures. It clearly outperformed the multiclass logistic regression model (AUROC: average = 0.33; short = 0.31; long = 0.22).

CONCLUSION

A Random Forest classifier trained on demographic and CT imaging biometric patient data could predict procedure duration outliers of laparoscopic sigmoid resections. Pending validation in a multicenter study, this approach could potentially improve procedure scheduling in visceral surgery and be scaled to other procedures.

Diverticulitis patient care during the Covid-19 pandemic in Germany-a retrospective nationwide population-based cohort study

PURPOSE

Coronavirus disease 2019 (COVID-19) impacted health care systems around the world. Despite a decrease in emergency admissions, an increased number of complicated forms of diverticulitis was reported. It was the aim of this study to analyze the pandemic impact on diverticulitis management in Germany.

METHODS

This is a retrospective population-wide analysis of hospital billing data (2012-2021) of diverticulitis in Germany. Patients were identified based on diagnosis (ICD10) and procedural codes to stratify by conservative and operative management. Primary outcome of interest was admission rates, secondary outcomes were rates of surgical vs conservative treatment and fraction of complicated clinical courses during the pandemic.

RESULTS

Of a total of 991,579 cases, 66,424 (6.7%) were admitted during pandemic lockdowns. Conservative treatment was the most common overall (66.9%) and higher during lockdowns (70.7%). Overall admissions and population adjusted rates of surgically treated patients decreased, the latter by 12.7% and 11.3%, corrected to estimated rates, in the two lockdowns. Surgery after emergency presentation decreased by 7.1% (p=0.053) and 11.1% (p=0.002) in the two lockdowns with a higher rate of ostomy and/or revision (+5.6%, p=0.219, and +10.2%, p=0.030). In-hospital mortality was increased in lockdown periods (1.64% vs 1.49%). In detail, mortality was identical in case of conservative treatment during lockdown periods (0.5%) but was higher in surgically treated patients (4.4% vs 3.6%).

CONCLUSION

During lockdowns, there was an overall decrease of admissions for diverticulitis, especially non-emergency admissions in Germany, and treatment was more likely to be conservative. In case of surgery, however, there was increased risk of a complicated course (ostomy, re-surgery), possibly due to patient selection.