2015
DOI: 10.1007/s10029-015-1413-2
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A validated, risk assessment tool for predicting readmission after open ventral hernia repair

Abstract: We present a validated risk stratification tool for unplanned readmissions following open-VHR. Future studies should determine if implementation of our CRS optimizes safety and reduces readmission rates in open-VHR patients.

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Cited by 23 publications
(12 citation statements)
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“…Coefficients (β) for all significant risk factors were multiplied by 10 and rounded to the nearest integer to create a score for each risk factor, a method previously described. 19 The final risk score ranging from 0 (no risk) to 39 (very high risk) was obtained by summing all the points from each component. The final risk score was then stratified into five risk categories: very low (0–2 points), low (3–8 points), medium (9–14 points), high (15–23 points), and very high (24–39 points).…”
Section: Methodsmentioning
confidence: 99%
“…Coefficients (β) for all significant risk factors were multiplied by 10 and rounded to the nearest integer to create a score for each risk factor, a method previously described. 19 The final risk score ranging from 0 (no risk) to 39 (very high risk) was obtained by summing all the points from each component. The final risk score was then stratified into five risk categories: very low (0–2 points), low (3–8 points), medium (9–14 points), high (15–23 points), and very high (24–39 points).…”
Section: Methodsmentioning
confidence: 99%
“…Risk reduction has been recommended as a means to enhance outcomes and reduce costs [13], but cost associated with risk reduction is not understood. Several VIHR risk score models have been developed to help surgeons predict readmission [4], surgical site infection [8], and wound morbidity and hernia recurrence [14]. Factors shown to be associated with increased risk with VIHR are numerous and include diabetes [4,15], increased ASA Class [4,8,15], and increased wound class [8,14], all of which mirror our cost data.…”
Section: Discussionmentioning
confidence: 77%
“…Several VIHR risk score models have been developed to help surgeons predict readmission [4], surgical site infection [8], and wound morbidity and hernia recurrence [14]. Factors shown to be associated with increased risk with VIHR are numerous and include diabetes [4,15], increased ASA Class [4,8,15], and increased wound class [8,14], all of which mirror our cost data. While this study did not show evidence of a negative financial impact of morbid obesity or cigarette smoking, weight reduction and smoking cessation have been shown to enhance clinical outcomes postoperatively [16,17].…”
Section: Discussionmentioning
confidence: 77%
“…In contrast to non-ambulatory procedures, in which the majority of postoperative readmissions have been attributed to surgical complications, 37 readmission within 30 days of outpatient surgery is very rarely because of surgical factors. 38,39 Patients who received high doses of opioids during ambulatory surgery were readmitted significantly earlier and their odds for readmission during the first 48 hours were almost three-fold increased.…”
Section: Discussionmentioning
confidence: 98%