Current Predictors of Mortality in Veteran Patients Undergoing Major Lower Extremity Amputations: Risk Factors Have Not Changed and Mortality Remains High

Factors Associated With Major Lower Extremity Amputations in Diabetic Foot Infections at a County Hospital in Guatemala

INTRODUCTION

Outcomes from diabetic foot infections (DFIs) at the major referral hospital (Hospital Nacional de San Benito) in El Petén, Guatemala have not been analyzed. We hypothesized that poor diabetic control might be associated with a high rate of major lower extremity amputations (mLEAs; above the ankle).

METHODS

We performed a retrospective analysis at Hospital Nacional de San Benito between (8/14 and 6/23) in patients presenting with DFIs. Patients receiving mLEAs were compared with all others (AO = [trans-metatarsal amputations, toe amputations, incision and drainage, and antibiotic treatment]). Interviews surgeons were undertaken to ascertain reasons for index operation choice. Univariable and multivariable analyses were undertaken to determine factors associated with mLEAs.

RESULTS

Of 110 patients with DFIs, there were 23 mLEAs (above the knee = 21, below the knee = 2). Age, duration with diabetes, and a prior ipsilateral minor amputation were associated with mLEAs. Multivariable analysis identified white blood cell count as significant for mLEA (odds ratio = 1.5 95% confidence interval [1.0 to 2.5]). Cited reasons for a high rate of above the knee amputation (AKAs) versus below the knee amputation were patient related (advanced disease, patient frailty, and poor compliance), systemic (lack of vascular equipment and knee immobilizer), and surgeon related.

CONCLUSIONS

This cohort of patients presented with an average of 15 years with diabetes mellitus and poor adherence to diabetic treatment (40%). Many of these diabetic patients developed a DFI requiring mLEAs (21%), most of which were AKAs (91%). Efforts to minimize the number of AKA versus below the knee amputation require immediate attention. Programs to adhere to DM control and foot care in patients with DM are urgently needed.

Does obesity predict morbidity and mortality amongst patients undergoing transfemoral amputations?

BACKGROUND

We investigated the role of obesity on morbidity and mortality in patients undergoing above knee amputation.

METHODS

Data of 4225 patients undergoing AKAs was extracted from NIS Database (2016-2019) for a retrospectively matched case-control study and were grouped into; Non-obese (N-Ob-BMI <29.9 kg/m2; n = 1413), class I/II obese (Ob-I/II-BMI: 30-39.9 kg/m2; n = 1413), and class III obese groups (Ob-IIIBMI > 40; n = 1399). Morbidity, mortality, length of stay, and hospital charges were analyzed.

RESULTS

Blood loss anemia (OR = 1.42; 95% CI = 1.19-1.64), superficial SSI (OR = 5.10; 95% CI = 1.4717.63) and acute kidney injury (AKI- OR = 1.42; 95% CI = 1.21-1.67) were higher in Ob-III patients. Mortality was 5.8%, 4.5%, and 6.4% in N-Ob, Ob-I/II and Ob-III patients (p < 0.001; Ob-I/II vs. Ob-III), respectively. Hospital LOS was 3 days higher in Ob-III (16.1 ± 18.0), comparatively resulting in $25,481 higher inpatient-hospital charge.

CONCLUSION

Patients in Ob-III group were noted to have increased morbidity, higher LOS, and inpatient-hospital cost.

Morbidity and Mortality in Non-Obese Compared to Different Classes of Obesity in Patients Undergoing Transtibial Amputations

This study assesses the effect of obesity classes on outcomes and inpatient-hospital-cost compared to non-obese individuals undergoing below-knee amputations (BKAs). Retrospective matched-case controlled study performed on data from NIS Database. We identified three groups: N-Ob (BMI < 29.9 kg/m2; n = 3104), Ob-I/II (BMI: 30 to 39.9 kg/m2; n = 3107), and Ob-III (BMI > 40; n = 3092); matched for gender, comorbidities, tobacco use and elective vs. emergent surgery. Differences in morbidity, mortality, hospital length of stay (LOS), and total inpatient cost were analyzed. Blood loss anemia was more common in Ob-III compared to Ob-I/II patients (OR = 1.2; 95% CI = 1.1−1.4); blood transfusions were less commonly required in Ob-I/II (OR = 0.8; 95% CI = 0.7−0.9) comparatively; Ob-I/II encountered pneumonia less frequently (OR = 0.9; 95% CI = 0.4−0.9), whereas myocardial infarction was more frequent (OR = 7.0; 95% CI = 2.1−23.6) compared to N-Ob patients. Acute renal failure is more frequent in Ob-I/II (OR = 1.2; 95% CI = 1.0−1.3) and Ob-III (OR = 1.8; 95% CI = 1.6−1.9) compared to the N-Ob cohort. LOS was higher in N-Ob (13.1 ± 12.8 days) and Ob-III (13.5 ± 12.4 d) compared to Ob-I/II cohort (11.8 ± 10.1 d; p < 0.001). Mortality was 2.8%, 1.4%, and 2.9% (p < 0.001) for N-Ob, Ob-I/II, and Ob-III, respectively. Hospital charges were $22,025 higher in the Ob-III cohort. Ob-I/II is protective against peri-operative complications and death, whereas hospital cost is substantially higher in Ob-III patients undergoing BKAs.

The VASQIP Calculator is a poor predictor of morbidity and mortality in octogenarian and nonagenarian veterans undergoing major lower extremity amputations

BACKGROUND

Morbidity and mortality for major (above the ankle) lower extremity amputation (LEA) is high in veteran patients and age is a predictor of mortality. The Veteran Affair Surgical Quality Improvement Program (VASQIP) risk assessment tool has been validated for several operations, but not for elderly patients undergoing LEA. The present study interrogated the accuracy for the VASQIP calculator for a medium/high-risk operation in a high-risk veteran population (octogenarians and nonagenarians).

METHODS

Variables required from input for the VASQIP calculator were retrospectively obtained for 57 octogenarians and 11 nonagenarians submitting to LEA at our institution from (2009 to 2021). The six-outcome variables provided by the VASQIP calculator (30-d mortality; 180-d mortality; 30-day morbidity; 30-day SSI risk; probability of ICU stay; probability of hospital stay) were compared to observed morbidity and mortality. The accuracy of the calculator was assessed by area under the receiver operating characteristic curve and reported by the area under the curve (AUC) as previously described.

RESULTS

In the 68 patients included in this analysis, the time to death from the last index operation was 422.0 ± 604.9 days for octogenarians and 65.6 ± 89.3 days for nonagenarians. Predicted vs. observed 30-d mortality for octogenarians and nonagenarians was 8.46 vs. 24.56 [AUC=0.739; 95% CI (0.581 to 0.898)] and 24.46 vs. 45.45 [AUC=0.600 (0.171 to 1.000); respectively]. Predicted vs. observed 180-d mortality for the same cohorts was 25.22 vs. 47.37 [AUC=0.578 (0.427 to 0.728)] and 45.34 vs. 90.91 [AUC=0.100 (0.000 to 0.286); respectively]. Thirty-day morbidity, 30-day SSI, probability of ICU and probability of in-hospital stay produced an AUC below 0.600 for all these outcomes.

CONCLUSION

The VASQIP risk calculator is a poor predictor of short-term outcomes in octogenarians and nonagenarians undergoing major LEA. Most octogenarian and nonagenarian veterans died within 1 year, and the mean survival for nonagenarians was less than 3 months after LEA. The decision for major LEA in octogenarian and nonagenarian veterans warrants informed discussion with the patient and family.