Predicting Postsurgical Complications of Peripheral Nerve Decompression: NSQIP Analysis of Frailty Measures Versus Historic Proxies.

Background: Peripheral nerve decompression (PND) is generally safe, and newer techniques allow frail patients to undergo PND at less common sites. Current literature suggests patient frailty measures may more accurately predict postsurgical complications versus other proxies, but no current literature examines frailty in PND. Methods: The authors reviewed data from the National Surgical Quality Improvement Program for patients who underwent PND outside the most common sites from 2013 to 2019. The modified 5-Item Frailty Index (mFI-5) and modified Charlson Comorbidity Index (mCCI) scores were calculated, and complications data were gathered. Age, body mass index (BMI), major comorbidities, American Society of Anesthesiologists class, and frailty were compared as predictors of all-cause 30-day complications, 30-day surgical site complications, length of stay, and complication severity, using univariate and multivariate logistic regression. Results: Of 1120 patients, the mean age was 51.3 (15.4) years and mean BMI was 30.6 (7.0) kg/m2. Patients were predominantly white and healthy. The complication rate was 3.4%. All-cause complications were predicted by ≥3 major comorbidities (odds ratio [OR], 95% confidence interval [CI]: 6.26, 1.36-21.32; P = .007), followed by mFI-5 score and mCCI score. Complication severity was associated with major comorbidities and mFI-5 score, while length of stay was most strongly predicted by age ≥ 65 years (OR, 95% CI: 2.17, 1.37-3.42; P = .0008) and mCCI score of 3 (OR, 95% CI: 1.77, 1.01-3.05; P = 0.041). The only risk factor for readmission was mFI-5 score of 1 (OR, 95% CI: 7.00, 1.68-47.16; P = .016). Conclusions: Frailty and risk proxies may predict postoperative complications in PND at uncommon sites. Use of frailty indices may expand the age range of patients offered PND. Further research is necessary to delineate contributing risk factors and to clarify 24-hour observation and admissions.

Frailty Indices Outperform Historic Risk Proxies as Predictors of Postabdominoplasty Complications: An Analysis of a National Database.

BACKGROUND: Although age, body mass index (BMI), and major comorbidities were historically used as predictors of surgical risk, recent literature supports patient frailty as a more accurate predictor. Database studies and chart reviews support the modified Charlson Comorbidity Index (mCCI) and the Modified Five-Item Frailty Index (mFI-5) as predictors of postsurgical complications in plastic surgery. The authors hypothesized that the mFI-5 and mCCI are more predictive of abdominoplasty complications than historic risk proxies. METHODS: A retrospective review of the American College of Surgeons National Surgical Quality Improvement Program database was performed for abdominoplasty patients from 2013 to 2019. Demographics, comorbidities, and complications were gathered. The mFI-5 and mCCI scores were calculated per patient. Age, BMI, major comorbidities, American Society of Anesthesiologists class, mFI-5 score, and mCCI score were compared as predictors of all-cause 30-day complications, 30-day surgical-site complications, length of stay, and aggregate Clavien-Dindo complication severity score. RESULTS: Of 421 patients, the strongest predictors for all-cause complications and complication severity were mCCI score greater than or equal to 3 and mFI-5 score greater than or equal to 2. The mFI-5 score was the strongest predictor of unplanned reoperation. Length of stay was best predicted by age greater than or equal to 65. The only predictor of surgical-site complications was BMI greater than or equal to 30.0 kg/m 2 . Smoking was predictive of complication severity, but not any other outcome. CONCLUSIONS: The mFI-5 and mCCI are stronger outcome predictors than historically used factors, which showed little predictive value in this cohort. Although the mCCI is a stronger predictor than the mFI-5, the mFI-5 is easily calculated during an initial consultation. Surgeons can apply these tools to aid in risk stratification for abdominoplasty. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.

Efficacy of the Modified 5-Item Frailty Index in Predicting Surgical-Site Infections in Patients Undergoing Breast Implant Augmentation: A National Surgical Quality Improvement Project-Based 5-Year Study.

Background: The ability to predict breast implant augmentation complications can significantly inform patient management. A frailty measure, such as the modified 5-item frailty index (mFI-5), is becoming an increasingly established risk factor for adverse postoperative outcomes. The authors hypothesized that the mFI-5 is predictive of 30-day postoperative complications in breast augmentation. Objectives: To investigate if mFI-5 can predict the likelihood and magnitude of 30-day complications resulting from breast augmentations. Methods: A retrospective review study of the National Surgical Quality Improvement Program database for patients who underwent breast implant augmentation without other concurrent procedures, from 2015 to 2019. Age, BMI, number of major comorbidities, American Society of Anesthesiologists (ASA) classifications, smoking status, mFI-5 score, and modified Charlson comorbidity index score were compared as predictors of all-cause 30-day complications and 30-day surgical-site complications using regression analyses. Results: Overall, 2478 patients were analyzed, and among them, 53 patients developed complications (2.14%). mFI-5 score significantly predicted surgical-site infection (SSI) complications (odds ratio [OR] = 4.24, P = .026). Frail patients had a higher occurrence of SSIs than nonfrail patients (P = .049). Multivariable analyses showed ASA class predicted 30-day SSI complications (OR = 5.77, P = .027) and mFI-5 approached, but did not reach full significance in predicting overall 30-day complications (OR = 3.14, P = .085). Conclusions: To date, the impact of frailty on breast implant procedure outcomes has not been studied. Our analysis demonstrates that the mFI-5 is a significant predictor for SSIs in breast implant augmentation surgery and is associated with overall complications. By preoperatively identifying frail patients, the surgical team can better account for postoperative support to minimize the risk of complications.

Can Frailty Indices Predict Surgical Risk in Open Reduction and Fixation of Facial Fractures?

PURPOSE: The present study sought to evaluate whether the mFI-5 and modified Charlson Comorbidity Index (mCCI) are stronger predictors of 30-day postoperative complications after open reduction of facial fractures compared with historic risk proxies. METHODS: A retrospective review of the American College of Surgeons' National Surgical Quality Improvement Program (ACS-NSQIP) database was conducted to investigate patients who underwent open reduction facial fracture surgery between 2013 and 2018. Risk factors including age, smoking status, body mass index (BMI), comorbidities, and American Society of Anesthesiologists (ASA) class were extracted for each patient. The mFI-5 score and mCCI score were calculated based on this data. Univariate logistic regressions were performed (P<0.05). RESULTS: A total of 2667 cases were included. Of these, 2131 (80%) were male. The strongest predictors for overall 30-day complications and complication severity were ASA class ≥3 (Odds Ratio [OR]=3.34), comorbidities ≥2 (OR=2.78), mCCl score ≥2 (OR=2.19), and mFI-5 ≥1 (OR=1.96). Smoking status and BMI were not strong predictors of total complications or complication severity. Age was found to be a statically significant, but low-impact, predictor of complications, and severity (OR=1.02, P<0.001). The only significant predictors of surgical site infections (SSI) were smoking status (OR=1.56) and ASA class ≥3 (OR=2.40). mFI-5 ≥1 was a significant predictor of hospital readmission. BMI was not associated with any increased risk. CONCLUSIONS: The mCCI and mFI-5 are statistically significant predictors of total complications and complication severity in open reduction of facial fracture repair, and thus provide a tool to inform decision making and improve care. Smoking status may increase risk for SSIs following facial fracture repair.

The Modified Five-Item Frailty Index to Predict Hand and Wrist Surgical Repair Postoperative Outcomes: An ACS-NSQIP Analysis of 11 369 Patients.

BACKGROUND: Hand and wrist injuries can cause painful, everyday obstacles for patients. Carefully indexing preoperative patient health conditions may better inform surgical care, leading to improved postoperative outcomes. The purpose of the present study is to evaluate if the Modified-Five Item Frailty Index (mFI-5) can accurately predict postoperative complications for hand and wrist surgical repair. METHODS: A retrospective review of the American College of Surgeons' National Surgical Quality Improvement Program database was conducted to investigate patients who underwent hand and wrist surgical repair from January 2013 to December 2019. Patient demographics, comorbidities, surgical logistics, and 30-day readmission due to postoperative complications were extracted. Surgical risk proxies including the mFI-5, age, body mass index (BMI), smoking status within 1 year, the Modified Charlson Comorbidity Index (mCCI), comorbidities, and American Society of Anaesthesiologists Physical Status Classification (ASA class) were calculated. RESULTS: A total of 11 369 patients were included. Thirty-day readmission for total postoperative complications (n = 258) was significantly associated with all surgical risk proxies. However, age, mFI-5 > 2, mCCI > 2, comorbidities > 1, and ASA class 2/3 had the highest statistical significance (P = <.001). Thirty-day readmission rates for surgical site infections (n = 118) had the highest statistical significance with age, BMI, mFI-5 > 2, and ASA class 2/3 (P = <.001). A Clavien-Dindo score > 1 (n = 224) had the highest statistical significance with age, mCCI > 2, comorbidity of 1, and an ASA class 3 (P = <.001). CONCLUSIONS: The mFI-5 may have value in predicting 30-day readmission due to postoperative complications after surgical repair of hand and wrist injuries.

Using the Modified Frailty Index to Predict Complications in Breast Reduction: A National Surgical Quality Improvement Program Study of 14,160 Cases.

BACKGROUND: Breast reduction is a generally well-tolerated procedure with high patient satisfaction and low risk of surgical site infection and other complications. Although age, obesity, and comorbidities have historically been used as surgical risk proxies, recent literature suggests "frailty" measures, such as the modified 5-item Frailty Index (mFI-5), may be a superior predictor. OBJECTIVES: The aim of this study was to investigate if mFI-5 can predict the likelihood and magnitude of 30-day complications resulting from breast reductions. METHODS: A retrospective review was performed of the National Surgical Quality Improvement Program (NSQIP) database to assess patients who underwent breast reduction without other concurrent procedures, from 2013 to 2019. mFI-5 scores were calculated for each patient, and complication data were gathered. Age, BMI, number of major comorbidities, American Association of Anesthesiologists class, smoking status, diabetes, steroid use, and mFI-5 score were compared as predictors of all-cause 30-day complications, 30-day surgical site complications of any kind, length of stay, and aggregate Clavien-Dindo complication severity score. Univariate logistic, linear regressions, and multivariate logistic regression analyses were performed to evaluate predictive value. Statistical significance was set at P < 0.05. RESULTS: A total of 14,160 patients were analyzed. The overall complication rate was 5.6%. The mFI-5 score significantly predicted overall 30-day complications, surgical site complications, complication severity, overnight stay, and likelihood of readmission (all P < 0.0001). CONCLUSIONS: The mFI-5 is a statistically significant predictor for adverse outcomes in breast reduction surgery. The mFI-5 is a simple and reliable tool that can be efficiently used to conduct a preoperative evaluation of patients requesting breast reductions.

The role of heavy metals in thyroid cancer: A meta-analysis.

INTRODUCTION: Metal ions are known to accumulate in the thyroid and some play an important role in the function and homeostatic mechanisms of the thyroid gland. Certain metal ions are known endocrine disruptors while others are classified to be carcinogenic. Although higher thyroid cancer incidence rates have been reported in regions with high metal levels in soil and drinking water, including volcanic regions, the effect of heavy metals on the thyroid is still poorly understood. To investigate the association between heavy metals and thyroid cancer, a comprehensive meta-analysis was performed to draw a more evidence-based conclusion for individual metal ions. MATERIAL AND METHODS: Nineteen studies were included in this meta-analysis, of which 9 studies reported blood metal ion levels, 8 studies reported tissue metal ion levels and 2 studies reported blood and tissue metal ion levels. The standardized mean difference (SMD) was calculated between thyroid cancer patients group and a control group (benign thyroid patients group or healthy controls group) per study. RESULTS: A significant positive SMD in manganese tissue levels between thyroid cancer patients and benign thyroid patients (SMD: 0.56 (95 % CI: 0.16, 0.95)) and a significant negative SMD in cobalt blood levels between thyroid cancer patients and healthy controls (SMD: -2.03 (95 % CI: -3.95, -0.10)) was found. No difference in levels of other metals in blood or thyroid tissue between thyroid cancer patients and non-thyroid cancer patients was noted. DISCUSSION AND CONCLUSION: The present meta-analysis therefore demonstrates the urgent need for future studies, especially given the increasing exposure of the general population to various environmental pollutants, including metal ions, and the thyroid cancer burden worldwide.