Assessment and Treatment of Malnutrition in Orthopaedic Surgery

Explainable Model Using Shapley Additive Explanations Approach on Wound Infection after Wide Soft Tissue Sarcoma Resection: "Big Data" Analysis Based on Health Insurance Review and Assessment Service Hub

Background and Objectives: Soft tissue sarcomas represent a heterogeneous group of malignant mesenchymal tissues. Despite their low prevalence, soft tissue sarcomas present clinical challenges for orthopedic surgeons owing to their aggressive nature, and perioperative wound infections. However, the low prevalence of soft tissue sarcomas has hindered the availability of large-scale studies. This study aimed to analyze wound infections after wide resection in patients with soft tissue sarcomas by employing big data analytics from the Hub of the Health Insurance Review and Assessment Service (HIRA). Materials and Methods: Patients who underwent wide excision of soft tissue sarcomas between 2010 and 2021 were included. Data were collected from the HIRA database of approximately 50 million individuals' information in the Republic of Korea. The data collected included demographic information, diagnoses, prescribed medications, and surgical procedures. Random forest has been used to analyze the major associated determinants. A total of 10,906 observations with complete data were divided into training and validation sets in an 80:20 ratio (8773 vs. 2193 cases). Random forest permutation importance was employed to identify the major predictors of infection and Shapley Additive Explanations (SHAP) values were derived to analyze the directions of associations with predictors. Results: A total of 10,969 patients who underwent wide excision of soft tissue sarcomas were included. Among the study population, 886 (8.08%) patients had post-operative infections requiring surgery. The overall transfusion rate for wide excision was 20.67% (2267 patients). Risk factors among the comorbidities of each patient with wound infection were analyzed and dependence plots of individual features were visualized. The transfusion dependence plot reveals a distinctive pattern, with SHAP values displaying a negative trend for individuals without blood transfusions and a positive trend for those who received blood transfusions, emphasizing the substantial impact of blood transfusions on the likelihood of wound infection. Conclusions: Using the machine learning random forest model and the SHAP values, the perioperative transfusion, male sex, old age, and low SES were important features of wound infection in soft-tissue sarcoma patients.

Preoperative and Perioperative Management of Diabetics Undergoing Elective Foot and Ankle Surgery

Diabetics are a highly comorbid population with an elevated risk profile when undergoing surgery. Proper preparation and management of modifiable risk factors can optimize outcomes in diabetics. A multidisciplinary approach to preoperative optimization, including surgeons, primary care providers, and anesthesiologists, ensures diabetic patients receive comprehensive evaluation before elective surgery. Orthopedic surgeons must understand preoperative optimization goals as they pertain to nutrition, glycemic control, and cardiovascular disease in diabetic patients.

Do Patients Reporting Fractures Experience Food Insecurity More Frequently Than the General Population?

BACKGROUND

The economic burden of traumatic injuries forces families into difficult tradeoffs between healthcare and nutrition, particularly among those with a low income. However, the epidemiology of food insecurity among individuals reporting having experienced fractures is not well understood.

QUESTIONS/PURPOSES

(1) Do individuals in the National Health Interview Survey reporting having experienced fractures also report food insecurity more frequently than individuals in the general population? (2) Are specific factors associated with a higher risk of food insecurity in patients with fractures?

METHODS

This retrospective, cross-sectional analysis of the National Health Interview Survey was conducted to identify patients who reported a fracture within 3 months before survey completion. The National Health Interview Survey is an annual serial, cross-sectional survey administered by the United States Centers for Disease Control, involving approximately 90,000 individuals across 35,000 American households. The survey is designed to be generalizable to the civilian, noninstitutionalized United States population and is therefore well suited to evaluate longitudinal trends in physical, economic, and psychosocial health factors nationwide. We analyzed data from 2011 to 2017 and identified 1399 individuals who reported sustaining a fracture during the 3 months preceding their survey response. Among these patients, 27% (384 of 1399) were older than 65 years, 77% (1074) were White, 57% (796) were women, and 14% (191) were uninsured. A raw score compiled from 10 food security questions developed by the United States Department of Agriculture was used to determine the odds of 30-day food insecurity for each patient. A multivariate logistic regression analysis was performed to determine factors associated with food insecurity among patients reporting fractures . In the overall sample of National Health Interview Survey respondents, approximately 0.6% (1399 of 239,168) reported a fracture.

RESULTS

Overall, 17% (241 of 1399) of individuals reporting broken bones or fractures in the National Health Interview Survey also reported food insecurity. Individuals reporting fractures were more likely to report food insecurity if they also were aged between 45 and 64 years (adjusted odds ratio 4.0 [95% confidence interval 2.1 to 7.6]; p < 0.001), had a household income below USD 49,716 (200% of the federal poverty level) per year (adjusted OR 3.1 [95% CI 1.9 to 5.1]; p < 0.001), were current tobacco smokers (adjusted OR 2.8 [95% CI 1.6 to 5.1]; p < 0.001), and were of Black race (adjusted OR 1.9 [95% CI 1.1 to 3.4]; p = 0.02).

CONCLUSION

Among patients with fractures, food insecurity screening and routine nutritional assessments may help to direct financially vulnerable patients toward available community resources. Such screening programs may improve adherence to nutritional recommendations in the trauma recovery period and improve the physiologic environment for adequate soft tissue and bone healing. Future research may benefit from the inclusion of clinical nutritional data, a broader representation of high-energy injuries, and a prospective study design to evaluate cost-efficient avenues for food insecurity interventions in the context of locally available social services networks.

LEVEL OF EVIDENCE

Level III, prognostic study.

[Nutritional, bone and body composition assessment of patients with knee and hip arthroplasty]

INTRODUCTION

malnutrition, both due to deficiency and excess of nutrients, is related to the morbidity of the surgical patient.

OBJECTIVES

to analyze the nutritional status, body composition and bone health of patients undergoing elective knee and hip arthroplasty.

METHODS

an observational cross-sectional study was carried out evaluating patients undergoing hip and knee replacement surgery from February to September 2019. The Malnutrition Universal Screening Tool (MUST), anthropometry, hand-grip dynamometry, bone densitometry, lumbar spine X-ray and bioimpedance analysis were performed.

RESULTS

eighty-six patients (61.6 % women) were evaluated, with a mean age of 69.5 ± 9.5 years. The mean body mass index (BMI) was 31.3 ± 4.5. According to MUST, 21.3 % were at risk of malnutrition; 16.9 % had decreased triceps skinfold with respect to p50 and 20 % had a pathological hand-grip dynamometry. In 91.4 %, vitamin D was < 30 pg/ml. In the bioimpedanciometry, the women presented significantly decreased muscle mass values. Age was correlated with a lower presence of fat-free mass, total and appendicular muscle mass. In those over 65 years of age, 52.6 % of men vs 14.3 % of women had a decreased muscle mass index; 58.5 % had low bone mineral density. We observed vertebral bone collapses in 13.9 %.

CONCLUSION

there is a high prevalence of obesity in patients who are candidates for arthroplasty and this does not exclude the existence of a risk of malnutrition. They may also have decreased muscle mass and strength. Nutritional education and physical exercise recommendations are essential in order to optimize nutritional status for surgery.

Is There Synergistic Effect Between Obesity and Hypoalbuminemia on Postoperative Outcomes Among Primary Total Shoulder Arthroplasty Recipients?

Background

Malnutrition and obesity are established predictors of complications following joint replacement surgery. However, the effect of obesity in the setting of albumin deficiency has not been explored in non-weight-bearing upper-extremity joint arthroplasty.

Purpose

We sought to determine whether there is a synergistic effect between obesity and hypoalbuminemia among patients undergoing primary total shoulder arthroplasty (TSA) with respect to postoperative outcomes, including (1) mortality rates, (2) composite surgical complications, (3) length of hospitalization, and (4) hospital readmission.

Methods

We conducted a retrospective cohort study using the National Surgical Quality Improvement Program (NSQIP) database to find patients who underwent primary TSA from January 1, 2006, to December 31, 2019. We grouped these patients as obese (body mass index [BMI] ≥ 30 kg/m2) or nonobese (BMI = 18.5-29.9 kg/m2) and by serum albumin level (hypoalbuminemia < 3.5 mg/dL or normoalbuminemia ≥ 3.5 mg/dL). We gathered data on readmission and mortality rates, and NSQIP complications were organized into 3 composite variables: wound infection, systemic infection, and cardiac/pulmonary complication. For each outcome, multivariate logistic regression analysis evaluated its association with obesity and hypoalbuminemia, as well as with the interaction of BMI and albumin, while adjusting for covariates.

Results

Of 12,881 patients, 51.8% were obese and 7.0% had hypoalbuminemia; 7.6% of obese patients had hypoalbuminemia versus 6.3% of those who were not obese. Patients with hypoalbuminemia had the longest hospital stays and the highest rates of mortality and systemic infection of all subgroups. Multivariate logistic regression analysis did not show higher complication rates due to obesity or evidence of additive interaction between hypoalbuminemia and obesity.

Conclusion

Unlike previous reports in weight-bearing arthroplasty, in this retrospective study of a cohort of patients who underwent TSA, we did not observe greater complications due to obesity alone, nor did we find evidence of additive interaction between obesity and hypoalbuminemia. This distinction may be due to the non-weight-bearing nature of TSA, in which excessive BMI may be less relevant for postoperative healing.

Reliability of Multifrequency Bioelectrical Impedance Analysis to Quantify Body Composition in Patients After Musculoskeletal Trauma

BACKGROUND

Changes in body composition, especially loss of lean mass, commonly occur in the orthopedic trauma population due to physical inactivity and inadequate nutrition. The purpose of this study was to assess inter-rater and intra-rater reliability of a portable bioelectrical impedance analysis (BIA) device to measure body composition in an orthopedic trauma population after operative fracture fixation. BIA uses a weak electric current to measure impedance (resistance) in the body and uses this to calculate the components of body composition using extensively studied formulas.

METHODS

Twenty subjects were enrolled, up to 72 hours after operative fixation of musculoskeletal injuries and underwent body composition measurements by two independent raters. One measurement was obtained by each rater at the time of enrollment and again between 1-4 hours after the initial measurement. Reliability was assessed using intraclass correlation coefficients (ICC) and minimum detectable change (MDC) values were calculated from these results.

RESULTS

Inter-rater reliability was excellent with ICC values for body fat mass (BFM), lean body mass (LBM), skeletal muscle mass (SMM), dry lean mass (DLM), and percent body fat (PBF) of 0.993, 0.984, 0.984, 0.979, and 0.986 respectively. Intra-rater reliability was also high for BFM, LBM, SMM, DLM, and PBF, at 0.994, 0.989, 0.990, 0.983, 0.987 (rater 1) and 0.994, 0.988, 0.989, 0.985, 0.989 (rater 2). MDC values were calculated to be 4.05 kg for BFM, 4.10 kg for LBM, 2.45 kg for SMM, 1.21 kg for DLM, and 4.83% for PBF.

CONCLUSION

Portable BIA devices are a versatile and attractive option that can reliably be used to assess body composition and changes in lean body mass in the orthopedic trauma population for both research and clinical endeavors. Level of Evidence: III.

Perioperative Laboratory Markers as Risk Factors for Surgical Site Infection After Elective Hand Surgery

PURPOSE

The purpose of this study was to test the null hypothesis that there is no association between perioperative laboratory markers (serum albumin and hemoglobin A1c [HbA1c]) and incidence of surgical site infection (SSI) after soft tissue upper extremity surgery.

METHODS

We analyzed patient-level data from a large, insurance-based database containing supplemental laboratory results. We identified patients undergoing soft tissue upper extremity surgery (defined as carpal tunnel release, trigger finger release, wrist ganglion excision, cubital tunnel release, Dupuytren partial fasciectomy, or first dorsal compartment release) with serum albumin or HbA1c measurements within 90 days of surgery. We stratified patients into cohorts based on serum albumin concentration (<3.5 g/dL) and HbA1c (≥7%) thresholds. The primary outcome was incidence of SSI within 30 days following surgery. We constructed multivariable logistic regression models to adjust for patient demographics and baseline comorbidities using the Elixhauser comorbidity index.

RESULTS

Patients with hypoalbuminemia experienced an SSI incidence of 3.5% compared to 0.9% in patients with normal serum albumin. In multivariable analysis, the odds ratio of SSI with hypoalbuminemia was 3.32 (95% CI, 2.32-4.65). Patients with HbA1c ≥ 7% experienced an SSI incidence of 1.1% compared to 0.7% in patients with HbA1c < 7%. Multivariable analysis revealed odds ratios for SSI of 1.47 (95% CI, 1.02-2.11) in patients with HbA1c ≥ 7% compared to those with HbA1c < 7%.

CONCLUSIONS

Hypoalbuminemia and elevated HbA1c (in patients with diabetes) are risk factors for SSI within 30 days following soft tissue upper extremity surgery. Preoperative measurement of these laboratory markers may be a useful tool for risk stratification and identification of high-risk patients for nutritional or glycemic optimization.

TYPE OF STUDY/LEVEL OF EVIDENCE

Prognostic II.

The serum albumin threshold for increased perioperative complications after total hip arthroplasty is 3.0 g/dL

INTRODUCTION:

Low serum albumin is associated with higher perioperative complications following total hip arthroplasty (THA). The distinct threshold for a significant rise in perioperative complications has not been defined for THA. The purpose of this study was to define the threshold at which perioperative complications rise after THA.

METHODS:

We analysed the American College of Surgeons NSQIP database from 2006 to 2013. Our study cohort included unilateral primary THA with reported preoperative albumin levels. Patients were stratified by albumin level. We analysed mortality and 6 composite complication variables (any complication, any complication without transfusion, wound infection, systemic infection, cardiac/pulmonary complications, and any major complication). All data analysis was executed in STATA statistical software. Multivariable logistic regression analysis was used to adjust for odds ratios.

RESULTS:

The final cohort included 24,586 patients who were stratified based upon serum albumin levels. Odds ratios after multivariable regression adjustment for age, gender, race, body mass index, ASA classification, and Charlson Comorbidity Index indicated a trend to elevated odds of complication for all composite complications (3 of which were statistically significant) when serum albumin level was <3.0 g/dL.

CONCLUSION:

Low serum albumin is associated with increased perioperative complications following THA. The threshold associated with an increase in major perioperative complications appears to be an albumin level of <3.0 g/dL. With attempts to correct modifiable risk factors prior to surgery, the threshold value at which perioperative complications increase is important to define.

Dietary adequacy of adult surgical orthopaedic patients admitted to a teaching hospital in Zambia; a hospital-based cross-sectional study

BACKGROUND

Sub-optimal dietary intake among in-patients including those with orthopaedic injuries is one of the factors that contributes to malnutrition and poor clinical outcomes in hospitals. The purpose of this study was to determine adequacy of intake of selected nutrients among adult surgical orthopaedic patients on standard hospital diet.

METHODS

A hospital-based cross-sectional study involving 98 adult surgical orthopaedic patients aged 18-64 years and admitted in low cost wards was conducted. A 24 h dietary recall was used to record food intake in the previous 24 h. Adequacy of energy, protein, calcium, iron, zinc, dietary fibre, sodium, folic acid and vitamin C were determined using nutrition standards for adult inpatients in one state of Australia. Food frequency of consuming selected foods was assessed using standard 7-day food frequency questionnaires. Data was collected over a period of three months.

RESULTS

The findings on nutrient intake indicated that mean energy, protein, calcium, sodium, iron, zinc, folic acid, dietary fibre and vitamin C intake were all below the recommended values (1919Cal, 61.67 g, 160.05 mg, 222.91 mg, 10.19 mg, 2.55 mg, 165.98 μg, 20.09 g and 22.60 mg respectively). Further, 24.4%, 8.5%, 26.7%, 5.5% and 15.2% of the participants met the Recommended Dietary Intakes (RDIs) of energy, protein, iron, vitamin C and dietary fibre respectively. Hospital food contributed more than 60% of the total nutrient intake of energy, protein, folic acid and dietary fibre.

CONCLUSION

In this study, the mean consumption intake for all the selected nutrients was below the recommended dietary intakes. Since sub-optimal dietary intake is associated with malnutrition and poor clinical outcomes, it is recommended that the hospital should provide diets that meet the nutrient demands of adult inpatients.

Malnutrition and the Development of Periprosthetic Joint Infection in Patients Undergoing Primary Elective Total Joint Arthroplasty

BACKGROUND

Although an abundance of literature exists linking malnutrition with infectious complications in surgical patients, there is little specifically examining the link between malnutrition and periprosthetic joint infection (PJI). This study evaluated the relationship between abnormal nutritional parameters and development of PJI in patients undergoing primary total joint arthroplasty (TJA).

METHODS

We retrospectively reviewed TJA patients from 2000 to 2016 with preoperative nutritional screening at a single institution. Any development of PJI at 2 years was assessed as the primary outcome. The Musculoskeletal Infection society criteria were used to define PJI. The association between the aforementioned nutritional markers and PJI was evaluated in a bivariate analysis followed by multivariate logistic regression. Performance for markers was assessed using receiver operator characteristic curves. Sensitivity and specificity were also compared.

RESULTS

Multivariate analysis demonstrated that low albumin (adjusted odds ratio [OR], 4.69; 95% confidence interval [CI], 2.428-9.085; P < .001) and low hemoglobin (adjusted OR, 2.718; 95% CI, 1.100-2.718; P = .018) were significantly associated with PJI. Albumin had the highest specificity and (95% CI, 97.8%-98.4%) and positive predictive value compared to all other markers. Platelet-to-white blood cell ratio had the highest sensitivity (95% CI, 29.5%-40.3%). The area under the curve was greatest for albumin (0.61; 95% CI, 0.55-0.67) followed by hemoglobin (0.57; 95% CI, 0.51-0.63), platelets (0.56; 95% CI, 0.50-0.62), and platelet-to-white blood cell ratio (0.54; 95% CI, 0.49-0.60).

CONCLUSION

The most valuable predictor of PJI following primary TJA, among nutritional parameters examined, was preoperative albumin with a very high specificity and positive predictive value.

Low Albumin Levels, More Than Morbid Obesity, Are Associated With Complications After TKA

BACKGROUND

Morbid obesity and malnutrition are thought to be associated with more frequent perioperative complications after TKA. However, morbid obesity and malnutrition often are co-occurring conditions. Therefore it is important to understand whether morbid obesity, malnutrition, or both are independently associated with more frequent perioperative complications. In addition, assessing the magnitude of an increase in complications and whether these complications are major or minor is important for both conditions.

QUESTIONS/PURPOSES

We asked: (1) Is morbid obesity independently associated with more frequent major perioperative complications after TKA? (2) Are major perioperative complications after TKA more prevalent among patients with a low serum albumin?

METHODS

The National Surgical Quality Improvement Program (NSQIP) database was analyzed from 2006 to 2013. Patients were grouped as morbidly obese (BMI ≥ 40 kg/m(2)) or nonmorbidly obese (BMI ≥ 18.5 kg/m(2) to < 40 kg/m(2)), or by low serum albumin (serum albumin level < 3.5 mg/dL) or normal serum albumin (serum albumin level ≥ 3.5 mg/dL). The study cohort included 77,785 patients, including 35,573 patients with a serum albumin level of 3.5 g/dL or greater and 1570 patients with a serum albumin level less than 3.5 g/dL. Therefore, serum albumin levels were available for only 37,173 of the 77,785 of the patients (48%). There were 66,382 patients with a BMI between 18.5 kg/m(2) and 40 kg/m(2) and 11,403 patients with a BMI greater than 40 kg/m(2). Data were recorded on patient mortality along with 21 complications reported in the NSQIP. We also developed three composite complication variables to represent risk of any infections, cardiac or pulmonary complications, and any major complications. For each complication, multivariate logistic regression analysis was performed. Independent variables included patient age, sex, race, BMI, American Society of Anesthesiologists classification, year of surgery, and Charlson comorbidity index score.

RESULTS

Mortality was not increased in the morbidly obese group (0.14% vs 0.14%; p = 0.942). Patients who were morbidly obese were more likely to have progressive renal insufficiency (0.30% vs 0.10%; odds ratio [OR], 2.47; 95% CI, 1.27-4.29; p < 0.001), superficial infection (1.07% vs 0.55%; OR, 1.87; 95% CI, 1.39-2.51; p < 0.001), and sepsis (0.36% vs 0.23%; OR, 1.70; 95% CI, 1.04-2.53; p = 0.034) compared with patients who were not morbidly obese. Patients who were morbidly obese were less likely to require blood transfusion (8.68% vs 12.06%; OR, 0.70; 95% CI, 0.63-0.77; p < 0.001) compared with patients who were not morbidly obese. Morbid obesity was not associated with any of the other 21 perioperative complications recorded in the NSQIP database. With respect to the composite complication variables, patients who were morbidly obese had an increased risk of any infection (3.31% vs 2.41%; OR, 1.38; 95% CI, 1.16-1.64; p < 0.001) but not for cardiopulmonary or any major complication. The group with low serum albumin had higher mortality than the group with normal serum albumin (0.64% vs 0.15%; OR, 3.17; 95% CI, 1.58-6.35; p = 0.001). Patients in the low serum albumin group were more likely to have a superficial surgical site infection (1.27% vs 0.64%; OR, 1.27; 95% CI, 1.09-2.75; p = 0.020); deep surgical site infection (0.38% vs 0.12%; OR, 3.64; 95% CI, 1.54-8.63; p = 0.003); organ space surgical site infection (0.45% vs 0.15%; OR, 2.71; 95% CI, 1.23-5.97; p = 0.013); pneumonia (1.21 vs 0.29%; OR, 3.55; 95% CI, 2.14-5.89; p < 0.001); require unplanned intubation (0.51% vs 0.17%, OR, 2.24; 95% CI, 1.07-4.69; p = 0.033); and remain on a ventilator more than 48 hours (0.38% vs 0.07%; OR, 4.03; 95% CI, 1.64-9.90; p = 0.002). They are more likely to have progressive renal insufficiency (0.45 % vs 0.12%; OR, 2.71; 95% CI, 1.21-6.07; p = 0.015); acute renal failure (0.32% vs 0.06%; OR, 5.19; 95% CI, 1.96-13.73; p = 0.001); cardiac arrest requiring cardiopulmonary resuscitation (0.19 % vs 0.12%; OR, 3.74; 95% CI, 1.50-9.28; p = 0.005); and septic shock (0.38% vs 0.08%; OR, 4.4; 95% CI, 1.74-11.09; p = 0.002). Patients in the low serum albumin group also were more likely to require blood transfusion (17.8% vs 12.4%; OR, 1.56; 95% CI, 1.35-1.81; p < 0.001). In addition, among the three composite complication variables, any infection (5.0% vs 2.4%; OR, 2.0; 95% CI, 1.53-2.61; p < 0.001) and any major complication (2.4% vs 1.3%; OR, 1.41; 95% CI, 1.00-1.97; p = 0.050) were more prevalent among the patients with low serum albumin. There was no difference for cardiopulmonary complications.

CONCLUSIONS

Morbid obesity is not independently associated with the majority of perioperative complications measured by the NSQIP and was associated only with increases in progressive renal insufficiency, superficial surgical site infection, and sepsis among the 21 perioperative variables measured. However, low serum albumin was associated with increased mortality and multiple additional major perioperative complications after TKA. Low serum albumin, more so than morbid obesity, is associated with major perioperative complications. This is an important finding, as low serum albumin may be more modifiable than morbid obesity in patients who are immobile or have advanced knee osteoarthritis.

LEVEL OF EVIDENCE

Level III, prognostic study.