Bilateral Renal Lymphangiectasia Associated With Polycythemia: A Rare Case Report.

Renal lymphangiectasia is a rare benign mesenchymal tumor of unclear etiology resulting from dilatation of perinephric lymphatic channels and formation of cystic masses. Polycythemia is a rarely associated finding with only five cases reported in the literature. We report a case of bilateral renal lymphangiectasia associated with polycythemia in a 38-year-old man who was managed conservatively with pain control. There are no clear guidelines for the management of renal lymphangiectasia; although most patients can be treated conservatively, some cases, whose diagnosis is unclear or develop complications, require definitive surgical excision.

Higher TSH Levels Within the Normal Range Are Associated With Unexplained Infertility.

Context: Unexplained infertility (UI), defined as the inability to conceive after 12 months of unprotected intercourse with no diagnosed cause, affects 10% to 30% of infertile couples. An improved understanding of the mechanisms underlying UI could lead to less invasive and less costly treatment strategies. Abnormalities in thyroid function and hyperprolactinemia are well-known causes of infertility, but whether thyrotropin (TSH) and prolactin levels within the normal range are associated with UI is unknown. Objective: To compare TSH and prolactin levels in women with UI and women with a normal fertility evaluation except for an azoospermic or severely oligospermic male partner. Design, Setting, and Participants: Cross-sectional study including women evaluated at a large academic health system between 1 January 2000 and 31 December 2012 with normal TSH (levels within the normal range of the assay and ≤5 mIU/L) and normal prolactin levels (≤20 ng/mL) and either UI (n = 187) or no other cause of infertility other than an azoospermic or severely oligospermic partner (n = 52). Main Outcome Measures: TSH and prolactin. Results: Women with UI had significantly higher TSH levels than controls [UI: TSH 1.95 mIU/L, interquartile range: (1.54, 2.61); severe male factor: TSH 1.66 mIU/L, interquartile range: (1.25, 2.17); P = 0.003]. This finding remained significant after we controlled for age, body mass index, and smoking status. Nearly twice as many women with UI (26.9%) had a TSH ≥2.5 mIU/L compared with controls (13.5%; P < 0.05). Prolactin levels did not differ between the groups. Conclusions: Women with UI have higher TSH levels compared with a control population. More studies are necessary to determine whether treatment of high-normal TSH levels decreases time to conception in couples with UI.

Redefining the association between old age and poor outcomes after trauma: The impact of frailty syndrome.

BACKGROUND: Frailty syndrome (FS) is a well-established predictor of outcomes in geriatric patients. The aim of this study was to quantify the prevalence of FS in geriatric trauma patients and to determine its association with trauma readmissions, repeat falls, and mortality at 6 months. METHODS: we performed a 2-year (2012-2013) prospective cohort analysis of all consecutive geriatric (age, ≥ 65 years) trauma patients. FS was assessed using a Trauma-Specific Frailty Index (TSFI). Patients were stratified into: nonfrail, TSFI ≤ 0.12; prefrail, TSFI = 0.1 to 0.27; and frail, TSFI > 0.27. Patient follow-up occurred at 6 months to assess outcomes. Regression analysis was performed to assess independent associations between TSFI and outcomes. RESULTS: Three hundred fifty patients were enrolled. Frail patients were more likely to develop in-hospital complications (nonfrail, 12%; prefrail, 17.4%; and frail, 33.4%; p = 0.02) and an adverse discharge disposition compared with nonfrail and prefrail (nonfrail, 8%; prefrail,18%; and frail, 47%; p = 0.001). Six-month follow-up was recorded in 80% of the patients. Compared with nonfrail patients, frail patients were more likely to have had a trauma-related readmission (odds ratio [OR], 1.4; 95% confidence interval [CI], 1.2-3.6) and/or repeated falls (OR, 1.6; 95%CI, 1.1-2.5) over the 6-month period. Overall 6-month mortality was 2.8% (n = 10), and frail elderly patients were more likely to have died (OR, 1.1; 95% CI, 1.04-4.7) compared with nonfrail patients. CONCLUSION: Over a third of geriatric trauma patients had FS. TSFI provides a practical and accurate assessment tool for identifying elderly trauma patients who are at increased risk of both short-term and long-term outcomes. Early focused intervention in frail geriatric patients is warranted to improve long-term outcomes. LEVEL OF EVIDENCE: Prognostic study, level II.

Upper-Extremity Function Predicts Adverse Health Outcomes among Older Adults Hospitalized for Ground-Level Falls.

BACKGROUND: Despite National Surgical Quality Improvement guidelines to integrate frailty into surgical elder assessments, a quick, accurate, and simple frailty assessment tool suitable for busy clinical settings is still not available. Recently, we have demonstrated that a simple upper-extremity function (UEF) test based on wearable sensors could identify frailty with high agreement with conventional assessments by testing 20-s repetitive elbow flexion and extension. OBJECTIVE: We examined whether UEF parameters are sensitive for predicting adverse health outcomes in bedbound older adults admitted to hospital due to ground-level fall injuries. STUDY DESIGN: Frailty was assessed in 101 eligible older adults (age: 79 ± 9 years) admitted to a trauma setting using the UEF test at the time of admission. All participants were followed up for 2 months using phone calls and chart reviews. The measured health outcomes included (1) discharge disposition (favorable: discharge home or rehabilitation; unfavorable: discharge to skilled nursing facility or death), (2) hospital length of stay, (3) 30-day readmission, (4) 60-day readmission, and (5) 30-day prospective falls. Multivariate analyses were used to identify independent predictors of adverse health outcomes based on participants' demographic parameters (i.e., age, gender, and body mass index [BMI]) and UEF index. RESULTS: Based on the UEF frailty status, 53 (52%) of the participants were frail and 48 (48%) were non-frail. Among all adverse health outcomes, age was only a significant predictor of 30-day prospective falls (p = 0.023). On the other hand, the UEF index was a significant predictor of all measured outcomes except hospital length of stay (p < 0.010). Among the UEF parameters, those indicating slowness, weakness, and exhaustion had the highest effect sizes to predict an unfavorable discharge disposition (p < 0.010; effect size = 0.65-0.92). CONCLUSION: The results of this study suggest that a 20-s UEF test is practical in the trauma setting and could be used as a quick measure for predicting adverse events and outcomes among bedbound patients after discharge. Assessing frailty using UEF may assist in objective triage, treatment, and post-discharge decision-making with regard to geriatric trauma patients.

The impact of frailty on failure-to-rescue in geriatric trauma patients: A prospective study.

INTRODUCTION: Failure-to-rescue (FTR) (defined as death from a major complication) is considered as an index of hospital quality in trauma patients. However, the role of frailty in FTR events remains unclear. We hypothesized that FTR rate is higher in elderly frail trauma patients. METHODS: We performed a prospective cohort study of all elderly (age ≥ 65 years) trauma patients presenting at our level one trauma center. Patient's frailty status was calculated utilizing the Trauma Specific Frailty Index (TSFI) within 24 hours of admission. Patients were stratified into non-frail, pre-frail, and frail. FTR was defined as death from a major complication (respiratory, infectious, cardiac, and renal). Binary logistic regression analysis was performed after adjusting for age, gender, injury severity (ISS), and vital parameters to assess the relationship between frailty status and FTR. RESULTS: A total of 368 elderly trauma patients were evaluated of which 25% (n = 93) were non-frail, 38% (n = 139) pre-frail, and 37% (n = 136) frail. Overall, 30% of the patients developed in-hospital complications; of them, mortality occurred in 26% of the patients (FTR group). In the FTR group, 69% of the patients were frail compared to 17% pre-frail and 14% non-frail (p = 0.002). On multivariate regression analysis for predictors of FTR, frail status was an independent predictor of FTR (OR [95% CI] = 2.67 [1.37-5.20]; p = 0.004). On sensitivity analysis, positive predictive value of TSFI for FTR was 69% and negative predictive value for FTR was 67%. CONCLUSION: In elderly trauma patients, the presence of frailty increased the odds of FTR almost threefold as compared to non-frail. Although FTR has been considered as an indicator of health care quality, the findings of this study suggest that frailty status independently contributes to FTR. This needs to be considered in the future development of quality metrics, particularly in the case of geriatric trauma patients. LEVEL OF EVIDENCE: Prognostic study, level II.

Emergency general surgery specific frailty index: A validation study.

INTRODUCTION: Assessment of operative risk in geriatric patients undergoing emergency general surgery (EGS) is challenging. Frailty is an established measure for risk assessment in surgical cases. The aim of our study was to validate a modified 15-variable EGS-specific frailty index (EGSFI). METHODS: We prospectively collected geriatric (age older than 65 years) EGS patients for 2 years. Postoperative complications were collected. Frailty index was calculated for 200 patients based on their preadmission condition using 50-variable modified Rockwood frailty index. Emergency general surgery-specific frailty index was developed based on the regression model for complications and the most significant factors in the frailty index. Receiver operating characteristic curve analysis was performed to determine cutoff for frail status. We validated our results using 60 patients for predicting complications. RESULTS: A total of 260 patients (developing, 200; validation, 60) were enrolled in this study. Mean age was 71 ± 11 years, and 33% developed complications. Most common complications were pneumonia (12%), urinary tract infection (9%), and wound infection (7%). Univariate analysis identified 15 variables significantly associated with complications that were used to develop the EGSFI. A cutoff frailty score of 0.325 was identified using receiver operating characteristic curve analysis for frail status. Sixty patients (frail, 18; nonfrail, 42) were enrolled in the validation cohort. Frail patients were more likely to have postoperative complications (47% vs. 20%; p < 0.001) compared to nonfrail patients. Frail status based on EGSFI was a significant predictor of postoperative complications (odds ratio, 7.3; 95% confidence interval, 1.7-19.8; p = 0.006). Age was not associated with postoperative complications (odds ratio, 0.99; 95% confidence interval, 0.92-1.06; p = 0.86). CONCLUSION: The 15-variable validated EGSFI is a simple and reliable bedside tool to determine the frailty status of patients undergoing EGS. Frail status as determined by the EGSFI is an independent predictor of postoperative complications and mortality in geriatric EGS patients. LEVEL OF EVIDENCE: Prognostic study, level II.

Assessing Upper-Extremity Motion: An Innovative, Objective Method to Identify Frailty in Older Bed-Bound Trauma Patients.

BACKGROUND: Despite increasing evidence that assessing frailty facilitates medical decision-making, a quick and clinically simple frailty assessment tool is not available for trauma settings. STUDY DESIGN: This study examined accuracy and acceptability of a novel wearable technology (upper-extremity frailty [UEF]) to objectively assess frailty status in older adults (65 years or older) admitted to the hospital due to traumatic ground-level falls. Frailty was measured using a validated modified Rockwood questionnaire, the Trauma-Specific Frailty Index (TSFI), as the gold standard. Participants performed a 20-second trial of rapid elbow flexion with the dominant elbow in a supine posture while wearing the UEF system. RESULTS: We recruited 101 eligible older adults (age 79 ± 9 years). Parameters of the UEF indicative of slowness, weakness, and exhaustion during elbow flexion were independent predictors of the TSFI score, while adjusted for age, sex, and body mass index. A high agreement (r = 0.72, p < 0.0001) was observed between TSFI score and the UEF model; sensitivity and specificity for predicting the frailty status were 78% and 82%, respectively. Of recruited participants, 57% were not able to walk at the time of measurements, suggesting a limitation for walking-based frailty assessments. Significant correlations were observed between UEF parameters and number of falls within a previous year, with highest correlation observed for elbow flexion slowness (r = -0.41). CONCLUSIONS: The results suggest that a simple test of 20-second elbow flexion may be practical and sensitive to identify frailty among hospitalized older adults. The UEF test is independent of walking assessments, reflects several frailty markers, and it is practical for bed-bound patients.

Hips don't lie: Waist-to-hip ratio in trauma patients.

BACKGROUND: Obesity measured by body mass index (BMI) is known to be associated with worse outcomes in trauma patients. Recent studies have assessed the impact of distribution of body fat measured by waist-hip ratio (WHR) on outcomes in nontrauma patients. The aim of this study was to assess the impact of distribution of body fat (WHR) on outcomes in trauma patients. METHODS: A 6-month (June to November 2013) prospective cohort analysis of all admitted trauma patients was performed at our Level 1 trauma center. WHR was measured in each patient on the first day of hospital admission. Patients were stratified into two groups: patients with WHR of 1 or greater and patients with WHR of less than 1. Outcome measures were complications and in-hospital mortality. Complications were defined as infectious, pulmonary, and renal complications. Regression and correlation analyses were performed. RESULTS: A total of 240 patients were enrolled, of which 28.8% patients (n = 69) had WHR of 1 or greater. WHR had a weak correlation with BMI (R = 0.231, R = 0.481). Eighteen percent (n = 43) of the patients developed complications, and the mortality rate was 10% (n = 24). Patients with a WHR of 1 or greater were more likely to develop in-hospital complications (32% vs. 13%, p = 0.001) and had a higher mortality rate (24% vs. 4%, p = 0.001) compared with the patients with a WHR of less than 1. In multivariate analysis, a WHR of 1 or greater was an independent predictor for the development of complications (odds ratio, 3.1; 95% confidence interval 1.08-9.2; p = 0.03) and mortality (odds ratio, 13.1; 95% confidence interval, 1.1-70; p = 0.04). CONCLUSION: Distribution of body fat as measured by WHR independently predicts mortality and complications in trauma patients. WHR is better than BMI in predicting adverse outcomes in trauma patients. Assessing the fat distribution pattern in trauma patients may help improve patient outcomes through focused targeted intervention. LEVEL OF EVIDENCE: Prognostic study, level II.

Increasing organ donation after cardiac death in trauma patients.

BACKGROUND: Organ donation after cardiac death (DCD) is not optimal but still remains a valuable source of organ donation in trauma donors. The aim of this study was to assess national trends in DCD from trauma patients. METHODS: A 12-year (2002 to 2013) retrospective analysis of the United Network for Organ Sharing database was performed. Outcome measures were the following: proportion of DCD donors over the years and number and type of solid organs donated. RESULTS: DCD resulted in procurement of 16,248 solid organs from 8,724 donors. The number of organs donated per donor remained unchanged over the study period (P = .1). DCD increased significantly from 3.1% in 2002 to 14.6% in 2013 (P = .001). There was a significant increase in the proportion of kidney (2002: 3.4% vs 2013: 16.3%, P = .001) and liver (2002: 1.6% vs 2013: 5%, P = .041) donation among DCD donors over the study period. CONCLUSIONS: DCD from trauma donors provides a significant source of solid organs. The proportion of DCD donors increased significantly over the last 12 years.