Trends, factors, and disparities associated with length of stay after lower extremity bypass for tissue loss

A Meta-Analysis to Derive Population-Based Quality Benchmarks of the Incidence of Surgical Site Infection after Lower Limb Revascularization Surgery

BACKGROUND

The reported incidence of surgical site infection (SSI) after lower limb revascularization surgery varies. We conducted a systematic review and meta-analysis of population-based studies reporting the incidence of SSI in adults who underwent these surgeries in high-income countries to derive SSI quality benchmarks.

METHODS

We searched MEDLINE, EMBASE, CENTRAL, and Evidence-Based Medicine Reviews (inception-to-April 28th, 2022) for population-based studies estimating the cumulative incidence of SSI among adults who underwent lower limb revascularization surgery for peripheral artery disease (PAD) in high-income countries. Two investigators independently screened abstracts and full-text articles, extracted data, and assessed risks of bias. We used random-effects models to pool data and GRADE to assess certainty.

RESULTS

Among 6,258 citations, we included 53 studies (n = 757,726 patients); 8 of which (n = 435,769 patients) reported nonoverlapping data that were meta-analyzed. The pooled cumulative incidence of any SSI was 6.0 in 100 patients [95% confidence interval (CI) = 4.3-8.0 in 100 patients; n = 8 studies; n = 435,769 patients; moderate certainty]. The cumulative incidence of Szilagyi grade I (cellulitis), grade II (subcutaneous tissue), and grade III (prosthetic graft) SSI was 6.5 in 100 patients (95% CI = 4.3-8.6 in 100 patients; n = 2 studies; n = 39,645 patients; low certainty), 2.1 in 100 patients (95% CI = 2.0-2.3 in 100 patients; n = 2 studies; low certainty), and 0.4 in 100 patients (95% CI = 0.4-0.4 in 100 patients; n = 1 study; n = 333,275 patients; low certainty), respectively. The pooled cumulative incidence of any early (in-hospital/≤30-days) and late (>30-days) SSI was 6.2 in 100 patients (95% CI = 4.4-8.0 in 100 patients; n = 7 studies; n = 431,273 patients; moderate certainty) and 3.7 in 100 patients (95% CI = 2.2-5.2 in 100 patients; n = 2 studies; n = 10,565 patients; low certainty), respectively.

CONCLUSIONS

This systematic review derived population-based benchmarks of the incidence of any SSI; Szilagyi I, II, and III SSI; and early and late SSI after lower limb revascularization surgery. These may be used by practicing surgeons and healthcare leaders/administrators to guide quality improvement efforts in the United States and perhaps other countries.

Clinical factors associated with ultrashort length of stay in patients undergoing lower extremity bypass for peripheral arterial disease

BACKGROUND

Length of stay (LOS) is a major driver of cost and resource utilization following lower extremity bypass (LEB). However, the variable comorbidity burden and mobility status of LEB patients makes implementing enhanced recovery after surgery pathways challenging. The aim of this study was to use a large national database to identify patient factors associated with ultrashort LOS among patients undergoing LEB for peripheral artery disease.

METHODS

All patients undergoing LEB for peripheral artery disease in the National Surgical Quality Improvement Project database from 2011 to 2018 were included. Patients were divided into two groups based on the postoperative length of stay : ultrashort (≤2 days) and standard (>2 days). Thirty-day outcomes were compared using descriptive statistics, and multivariable logistic regression was used to identify patient factors associated with ultrashort LOS.

RESULTS

Overall, 17,510 patients were identified who underwent LEB, of which 2678 patients (15.3%) had an ultrashort postoperative LOS (mean, 1.8 days) and 14,832 (84.7%) patients had a standard LOS (mean, 7.1 days). When compared to patients with a standard LOS, patients with an ultrashort LOS were more likely to be admitted from home (95.9% vs 88.0%; P < .001), undergo elective surgery (86.1% vs 59.1%; P < .001), and be active smokers (52.1% vs 40.4%; P < .001). Patients with an ultrashort LOS were also more likely to have claudication as the indication for LEB (53.1% vs 22.5%; P < .001), have a popliteal revascularization target rather than a tibial/pedal target (76.7% vs 55.3%; P < .001), and have a prosthetic conduit (40.0% vs 29.9%; P < .001). There was no significant difference in mortality between the two groups (1.4% vs 1.8%; P = .21); however, patients with an ultrashort LOS had a lower frequency of unplanned readmission (10.7% vs 18.8%; P < .001) and need for major reintervention (1.9% vs 5.6%; P < .001). On multivariable analysis, elective status (odds ratio , 2.66; 95% confidence interval [CI], 2.33-3.04), active smoking (OR, 1.18; 95% CI, 1.07-1.30), and lack of vein harvest (OR, 1.55; 95% CI, 1.41-1.70) were associated with ultrashort LOS. Presence of rest pain (OR, 0.57; 95% CI, 0.51-0.63), tissue loss (OR, 0.30; 95% CI, 0.27-0.34), and totally dependent functional status (OR, 0.54; 95% CI, 0.35-0.84) were associated negatively with an ultrashort LOS. When examining the subgroup of patients who underwent vein harvest, totally dependent (OR, 0.38; 95% CI, 0.19-0.75) and partially dependent (OR, 0.53; 95% CI, 0.32-0.88) functional status were persistently negatively associated with ultrashort LOS.

CONCLUSIONS

Ultrashort LOS (≤2 days) after LEB is uncommon but feasible in select patients. Preoperative functional status and mobility are important factors to consider when identifying LEB patients who may be candidates for early discharge.

Daly/Cost comparison in the management of peripheral arterial disease at 17 Belgian hospitals

OBJECTIVE

Peripheral arterial disease (PAD) is a manifestation of atherosclerosis that affects the lower extremities and afflicts more than 200 million people worldwide. Because of limited resources, the need to provide quality care associated with cost control is essential for health policies. Our study concerns an interhospital comparison among seventeen Belgian hospitals that integrates the weighting of quality indicators and the costs of care, from the hospital perspective, for a patient with this pathology in 2018.

METHODS

The disability-adjusted life years (DALYs) were calculated by adding the number of years of life lost due to premature death and the number of years of life lost due to disability for each in-hospital stay. The DALY impact was interpreted according to patient safety indicators. We compared the hospitals using the adjusted values ​​of costs and DALYs for their case mix index, obtained by relating the observed value to the predicted value obtained by linear regression.

RESULTS

We studied 2,437 patients and recorded a total of 560.1 DALYs in hospitals. The in-hospital cost average [standard deviation (SD)] was €8,673 (€10,893). Our model identified the hospitals whose observed values were higher than predicted; six needed to reduce the costs and impacts of DALYs, six needed to improve one of the two factors, and four seemed to have good results. The average cost (SD) for the worst performing hospitals amounted to €27,803 (€28,358).

CONCLUSIONS

Studying the costs of treatment according to patient safety indicators permits us to evaluate the entire chain of care using a comparable unit of measurement.

Development and validation of a prediction model for the prolonged length of stay in Chinese patients with lower extremity atherosclerotic disease: a retrospective study

OBJECTIVES

This study aims to develop and internally validate a prediction model, which takes account of multivariable and comprehensive factors to predict the prolonged length of stay (LOS) in patients with lower extremity atherosclerotic disease (LEAD).

DESIGN

This is a retrospective study.

SETTING

China.

PARTICIPANTS, PRIMARY AND SECONDARY OUTCOMES

Data of 1694 patients with LEAD from a retrospective cohort study between January 2014 and November 2021 were analysed. We selected nine variables and created the prediction model using the least absolute shrinkage and selection operator (LASSO) regression model after dividing the dataset into training and test sets in a 7:3 ratio. Prediction model performance was evaluated by calibration, discrimination and Hosmer-Lemeshow test. The effectiveness of clinical utility was estimated using decision curve analysis.

RESULTS

LASSO regression analysis identified age, gender, systolic blood pressure, Fontaine classification, lesion site, surgery, C reactive protein, prothrombin time international normalised ratio and fibrinogen as significant predictors for predicting prolonged LOS in patients with LEAD. In the training set, the prediction model showed good discrimination using a 500-bootstrap analysis and good calibration with an area under the receiver operating characteristic of 0.750. The Hosmer-Lemeshow goodness of fit test for the training set had a p value of 0.354. The decision curve analysis showed that using the prediction model both in training and tests contributes to clinical value.

CONCLUSION

Our prediction model is a valuable tool using easily and routinely obtained clinical variables that could be used to predict prolonged LOS in patients with LEAD and help to better manage these patients in routine clinical practice.

The measurable impact of a diversity, equity, and inclusion editor on diversifying content, authorship, and peer review participation in the Journal of Vascular Surgery

OBJECTIVE

Women and minorities remain under-represented in academic vascular surgery. This under-representation persists in the editorial peer review process which may contribute to publication bias. In 2020, the Journal of Vascular Surgery (JVS) addressed this by diversifying the editorial board and creating a new Editor of Diversity, Equity, and Inclusion (DEI). The impact of a DEI editor on modifying the output of JVS has not yet been examined. We sought to determine the measurable impact of a DEI editor on diversifying perspectives represented in the journal, and on contributing to changes in the presence of DEI subject matter across published journal content.

METHODS

The authorship and content of published primary research articles, editorials, and special articles in JVS were examined from November 2019 through July 2022. Publications were examined for the year prior to initiation of the DEI Editor (pre), the year following (post), and from September 2021 to July 2022, accounting for the average 47-week time period from submission to publication in JVS (lag). Presence of DEI topics and women authorship were compared using χ² tests.

RESULTS

During the period examined, the number of editorials, guidelines, and other special articles dedicated to DEI topics in the vascular surgery workforce or patient population increased from 0 in the year prior to 4 (16.7%) in the 11-month lag period. The number of editorials, guidelines, and other special articles with women as first or senior authors nearly doubled (24% pre, 44.4% lag; P = .31). Invited commentaries and discussions were increasingly written by women as the study period progressed (18.7% pre, 25.9% post, 42.6% lag; P = .007). The number of primary research articles dedicated to DEI topics increased (5.6% pre, 3.3% post, 8.1% lag; P = .007). Primary research articles written on DEI topics were more likely to have women first or senior authors than non-DEI specific primary research articles (68.0% of all DEI vs 37.5% of a random sampling of non-DEI primary research articles; P < .001). The proportion of distinguished peer reviewers increased (from 2.8% in 2020 to 21.9% in 2021; P < .001).

CONCLUSIONS

The addition of a DEI editor to JVS significantly impacted the diversification of topics, authorship of editorials, special articles, and invited commentaries, as well as peer review participation. Ongoing efforts are needed to diversify subject matter and perspective in the vascular surgery literature and decrease publication bias.

Machine learning models to predict length of stay and discharge destination in complex head and neck surgery

BACKGROUND

This study develops machine learning (ML) algorithms that use preoperative-only features to predict discharge-to-nonhome-facility (DNHF) and length-of-stay (LOS) following complex head and neck surgeries.

METHODS

Patients undergoing laryngectomy or composite tissue excision followed by free tissue transfer were extracted from the 2005 to 2017 NSQIP database.

RESULTS

Among the 2786 included patients, DNHF and mean LOS were 421 (15.1%) and 11.7 ± 8.8 days. Four classification models for predicting DNHF with high specificities (range, 0.80-0.84) were developed. The generalized linear and gradient boosting machine models performed best with receiver operating characteristic (ROC), accuracy, and negative predictive value (NPV) of 0.72-0.73, 0.75-0.76, and 0.88-0.89. Four regression models for predicting LOS in days were developed, where all performed similarly with mean absolute error and root mean-squared errors of 3.95-3.98 and 5.14-5.16. Both models were developed into an encrypted web-based interface: https://uci-ent.shinyapps.io/head-neck/.

CONCLUSION

Novel and proof-of-concept ML models to predict DNHF and LOS were developed and published as web-based interfaces.