Arterial revascularization following acute mesenteric ischemia

Exploring Outcomes Related to Residential Determinants in Acute Mesenteric Ischemia Patients

INTRODUCTION

To access the relationship between residential status and outcomes in surgical acute mesenteric ischemia (AMI) patients.

METHODS

Retrospective chart review of 153 AMI patients admitted to our institution between 2007 and 2021. Residential median income and Rural-Urban Commuting Area (RUCA) code were used as residential proxies.

RESULTS

Being of the female sex (odds ratio [OR] = 3.116 [1.276-7.609] P = 0.013) and having a vascular intervention performed (OR = 2.927 [1.087-7.883] P = 0.034) were both associated with a threefold increase in the risk of mortality. Increased age (OR = 1.037 [1.002-1.073] P = 0.039), elevated blood urea nitrogen (OR = 1.032 [1.012-1.051] P = 0.001), and living in higher residential income area (OR = 1.049 [1.009-1.091] P = 0.017) had a small, but statistically significant, increased risk of mortality. Patients in higher median income areas were less likely to undergo colonic resection (OR = 0.953 [0.911-0.997] P = 0.038) and tended to have a lower likelihood of receiving an ostomy (OR = 0.963 [0.927-1] P = 0.051). Being from urban or rural areas was not associated with mortality (OR = 1.565 [0.647-3.790] P = 0.321, although rural patients were more likely to undergo colon resection (OR = 2.183 [0.938-5.079] P = 0.070). Furthermore, rural patients were much more likely to be readmitted than urban dwellers (OR = 4.700 [1.022-21.618] P = 0.047).

CONCLUSIONS

AMI patients living in rural or small-town areas were more likely to be readmitted and tended to undergo colonic resection. Patients residing in higher income areas had a slightly higher risk of mortality but tended to be less likely to require ostomy or colonic resection. These findings suggest a potential need for postoperative care initiatives focused on AMI patients living in rural and lower income areas.

A rapid preliminary prediction model for intestinal necrosis in acute mesenteric ischemia: a retrospective study

BACKGROUND

Acute mesenteric ischemia (AMI) is a life-threatening condition. However, there is no accurate method to predict intestinal necrosis in AMI patients that may facilitate early surgical intervention. This study thus aimed to explore a simple and accurate model to predict intestinal necrosis in patients with AMI.

METHODS

A single-center retrospective study was performed on the data of 132 AMI patients treated between October 2011 and June 2020. The patients were divided into the intestinal necrosis and non-intestinal necrosis groups. The clinical characteristics and laboratory data were analyzed by univariate analysis, and the variables with statistical significance were further analyzed by multivariate logistic regression analysis. The independent predictors of intestinal necrosis were determined and a logistic prediction model was established. Finally, the accuracy, sensitivity, and specificity of the model in predicting intestinal necrosis were evaluated.

RESULTS

Univariate analysis showed that white blood cell (WBC) count, blood urea nitrogen (BUN) level, neutrophil ratio, prothrombin time (PT), and LnD-dimer were associated with intestinal necrosis. According to logistic regression multivariate analysis, WBC count, BUN level and LnD-dimer were independent predictors of intestinal necrosis. These parameters were used to establish a clinical prediction model of intestinal necrosis (CPMIN) as follows: model score = 0.349 × BUN (mmol/L) + 0.109 × WBC × 109 (109/L) + 0.394 × LnD - Dimer (ug/L) - 7.883. The area under the receiver operating characteristics (ROC) curve of the model was 0.889 (95% confidence interval: 0.833-0.944). Model scores greater than - 0.1992 predicted the onset of intestinal necrosis. The accuracy, specificity, and sensitivity of the model were 82.6%, 78.2%, and 88.3%, respectively. The proportion of intestinal necrosis in the high-risk patient group (CPMIN score ≥ - 0.1992) was much greater than that in the low-risk patient group (CPMIN score < - 0.1992; 82.7% vs. 15.0%, p < 0.001).

CONCLUSION

The CPMIN can effectively predict intestinal necrosis and guide early surgical intervention to improve patient prognosis. Patients with AMI who are classified as high-risk should be promptly treated with surgery to avoid the potential complications caused by delayed operation. Patients classified as low-risk group can receive non-surgical treatment. This model may help to lower the morbidity and mortality from AMI. However, this model's accuracy should be validated by larger sample size studies in the future.