Prediction model and web-based risk calculator for postoperative ileus after loop ileostomy closure.

BACKGROUND: Postoperative ileus (POI) is a significant complication after loop ileostomy closure given both its frequency and impact on the patient. The purpose of this study was to develop and externally validate a prediction model for POI after loop ileostomy closure. METHODS: The model was developed and validated according to the TRIPOD checklist for prediction model development and validation. The development cohort included consecutive patients who underwent loop ileostomy closure in two teaching hospitals in Montreal, Canada. Candidate variables considered for inclusion in the model were chosen a priori based on subject knowledge. The final prediction model, which modelled the 30-day cumulative incidence of POI using logistic regression, was selected using the highest area under the receiver operating characteristic curve (AUC) criterion. Model calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test. The model was then validated externally in an independent cohort of similar patients from the University of British Columbia. RESULTS: The development cohort included 531 patients, in whom the incidence of POI was 16·8 per cent. The final model included five variables: age, ASA fitness grade, underlying pathology/treatment, interval between ileostomy creation and closure, and duration of surgery for ileostomy closure (AUC 0·68, 95 per cent c.i. 0·61 to 0·74). The model demonstrated good calibration (P = 0·142). The validation cohort consisted of 216 patients, and the incidence of POI was 15·7 per cent. On external validation, the model maintained good discrimination (AUC 0·72, 0·63 to 0·81) and calibration (P = 0·538). CONCLUSION: A prediction model was developed for POI after loop ileostomy closure and included five variables. The model maintained good performance on external validation.

ANTECEDENTES: El íleo postoperatorio (postoperative ileus, POI) es una complicación importante tras el cierre de la ileostomía en asa, dada su frecuencia e impacto en el paciente. El propósito de este estudio fue desarrollar y validar externamente un modelo de predicción para el POI después del cierre de la ileostomía en asa. MÉTODOS: El modelo fue desarrollado y validado de acuerdo con la lista de verificación TRIPOD para el desarrollo y validación de un modelo de predicción. La cohorte de desarrollo incluyó pacientes consecutivos en los que se realizó el cierre de la ileostomía en asa en dos hospitales universitarios en Montreal, Canadá. Las variables candidatas consideradas para su inclusión en el modelo se seleccionaron a priori en función del conocimiento del problema. El modelo de predicción final, que modeló la incidencia acumulada a 30 días de POI mediante regresión logística, se seleccionó según el criterio del área más alta bajo la curva operativa del receptor (area under the receiver operating curve, AUC). La calibración del modelo se evaluó utilizando la prueba de bondad de ajuste de Hosmer-Lemeshow. El modelo fue posteriormente validado externamente en una cohorte independiente de pacientes similares de la Universidad de British Columbia. RESULTADOS: La cohorte de desarrollo incluyó a 531 pacientes, y la incidencia de POI fue de 16,7%. El modelo final incluyó cinco variables: edad, clasificación ASA (American Society of Anaesthesiologists), patología inicial y tratamiento, tiempo entre las dos intervenciones quirúrgicas y tiempo operatorio del cierre de ileostomía (AUC = 0,68; i.c. del 95%: 0,61 a 0,74). El modelo demostró buena calibración (P = 0,142). La cohorte de validación consistió en 216 pacientes, y la incidencia de POI fue de 15,7%. En la validación externa, el modelo mantuvo una buena discriminación (AUC = 0,72; i.c. del 95%: 0,63 a 0,81) y calibración (P = 0,538). CONCLUSIÓN: Se ha desarrollado un modelo de predicción de POI después del cierre de la ileostomía en asa que incluía cinco variables. El modelo mantuvo un buen funcionamiento en la validación externa.

Salvage TME following TEM: a possible indication for TaTME.

BACKGROUND: Salvage surgery after transanal endoscopic microsurgery (TEM) has shown mixed results. Transanal total mesorectal excision (TaTME) might be advantageous in this population. The aim of this study was to assess the short-term oncologic and operative outcomes of salvage surgery after TEM, comparing TaTME to conventional salavge TME (sTME). METHODS: Consecutive patients treated with salvage surgery after TEM were identified. Patients who underwent TaTME were compared to those who had conventional sTME. The primary outcome was the ability to perform an appropriate oncologic procedure defined by a composite outcome (negative distal margins, negative radial margins and complete or near complete mesorectum specimen). RESULTS: During the study period, 41 patients had salvage surgery after TEM. Of those, 11 patients had TaTME while 30 patients had sTME. All patients in the TaTME group met the composite outcome of appropriate oncologic procedure compared to 76.7% for the conventional sTME group (p = 0.19). TaTME was associated with significantly higher rates of sphincter preservation (100 vs. 50%, p = 0.01), higher rates of laparoscopic surgery (100 vs. 23.3%, p < 0.001) and lower rates of conversion to open surgery (9.1 vs. 57%, p < 0.001). No difference was found in postoperative morbidity (36.3 vs. 36.7%, p = 0.77). CONCLUSIONS: The present study demonstrates that for patients requiring salvage surgery after TEM, TaTME is associated with significantly higher rates of sphincter-sparing surgery when compared to conventional transabdominal TME while producing adequate short-term oncologic outcomes. Salvage surgery after TEM might be a clear indication for TaTME rather than conventional surgery.

Low and high density lipoprotein metabolism in primary cultures of hepatic cells from normal and apolipoprotein E knockout mice.

Apolipoprotein E (apoE) plays a major role in lipoprotein metabolism by mediating the binding of apoE-containing lipoproteins to receptors. The role of hepatic apoE in the catabolism of apoE-free lipoproteins such as low density lipoprotein (LDL) and high density lipoprotein-3 (HDL(3)) is however, unclear. We analyzed the importance of hepatic apoE by comparing human LDL and HDL(3) metabolism in primary cultures of hepatic cells from control C57BL/6J and apoE knockout (KO) mice. Binding analysis showed that the maximal binding capacity (Bmax) of LDL, but not of HDL(3), is increased by twofold in the absence of apoE synthesis/secretion. Compared to control hepatic cells, LDL and HDL(3) holoparticle uptake by apoE KO hepatic cells, as monitored by protein degradation, is reduced by 54 and 77%, respectively. Cleavage of heparan sulfate proteoglycans (HSPG) by treatment with heparinase I reduces LDL association by 21% in control hepatic cells. Thus, HSPG alone or a hepatic apoE-HSPG complex is partially involved in LDL association with mouse hepatic cells. In apoE KO, but not in normal hepatic cells, the same treatment increases LDL uptake/degradation by 2.4-fold suggesting that in normal hepatic cells, hepatic apoE increases LDL degradation by masking apoB-100 binding sites on proteoglycans. Cholesteryl ester (CE) association and CE selective uptake (CE/protein association ratio) from LDL and HDL(3) by mouse hepatic cells were not affected by the absence of apoE expression. We also show that 69 and 72% of LDL-CE hydrolysis in control and apoE KO hepatic cells, respectively, is sensitive to chloroquine revealing the importance of a pathway linked to lysosomes. In contrast, HDL(3)-CE hydrolysis is only mediated by a nonlysosomal pathway in both control and apoE KO hepatic cells. Overall, our results indicate that hepatic apoE increases the holoparticle uptake pathway of LDL and HDL(3) by mouse hepatic cells, that HSPG devoid of apoE favors LDL binding/association but impairs LDL uptake/degradation and that apoE plays no significant role in CE selective uptake from either human LDL or HDL(3) lipoproteins.