Explore the vast range of titles available.

Assessing glomerular filtration rate (GFR) is critical for diagnosis, staging, and management of kidney disease. However, accuracy of estimated GFR (eGFR) is limited by large errors (>30% error present in >10–50% of patients), adversely impacting patient care. Errors often result from variation across populations of non-GFR determinants affecting the filtration markers used to estimate GFR. We hypothesized that combining multiple filtration markers with non-overlapping non-GFR determinants into a panel GFR could improve eGFR accuracy, extending current recognition that adding cystatin C to serum creatinine improves accuracy. Non-GFR determinants of markers can affect the accuracy of eGFR in two ways: first, increased variability in the non-GFR determinants of some filtration markers among application populations compared to the development population may result in outlying values for those markers. Second, systematic differences in the non-GFR determinants of some markers between application and development populations can lead to biased estimates in the application populations. Here, we propose and evaluate methods for estimating GFR based on multiple markers in applications with potentially higher rates of outlying predictors than in development data. We apply transfer learning to address systematic differences between application and development populations. We evaluated a panel of 8 markers (5 metabolites and 3 low molecular weight proteins) in 3,554 participants from 9 studies. Results show that contamination in two strongly predictive markers can increase imprecision by more than two-fold, but outlier identification with robust estimation can restore precision nearly fully to uncontaminated data. Furthermore, transfer learning can yield similar results with even modest training set sample size. Combining both approaches addresses both sources of error in GFR estimates. Once the laboratory challenge of developing a validated targeted assay for additional metabolites is overcome, these methods can inform the use of a panel eGFR across diverse clinical settings, ensuring accuracy despite differing non-GFR determinants.

Despite the prevalence of directional changes during every-day gait, relatively little is known about turning compared to straight gait. While the center of mass (COM) movement during straight gait is well characterized, the COM trajectory and the factors that influence it are less established for turning. This study investigated the influence of a corner׳s height on the COM trajectory as participants walked around the corner. Ten participants (25.3±3.74 years) performed both 90° step and spin turns to the left at self-selected slow, normal, and fast speeds while walking inside a marked path. A pylon was placed on the inside corner of the path. Four different pylon heights were used to correspond to heights of everyday objects: 0 cm (no object), 63 cm (box, crate), 104 cm (desk, table, counter), 167 cm (shelf, cabinet). Obstacle height was found to significantly affect the COM trajectory. Taller obstacles resulted in more distance between the corner and the COM, and between the corner and the COP. Taller obstacles also were associated with greater curvature in the COM trajectory, indicating a smaller turning radius despite the constant 90° corner. Taller obstacles correlated to an increased required coefficient of friction (RCOF) due to the smaller turning radii. Taller obstacles also tended towards greater mediolateral (ML) COM-COP angles, contrary to the initial hypothesis. Additionally, the COM was found to remain outside the base of support (BOS) for the entire first half of stance phase for all conditions indicating a high risk of falls resulting from slips.

Identifying risk factors for musculoskeletal injury is critical to maintain the health and safety of athletes. While current tests consider isolated assessments of function or subjective ratings, objective tests of reactive postural responses, especially when in cognitively demanding scenarios, may better identify risk of musculoskeletal injury than traditional tests alone. Examine if objective assessments of reactive postural responses, quantified using wearable inertial measurement units, are associated with the risk for acute lower extremity musculoskeletal injuries in collegiate athletes. Prospective survival analysis. 191 Division I National Collegiate Athletic Association athletes completed an instrumented version of a modified Push and Release (I-mP&R) test at the beginning of their competitive season. The I-mP&R was performed with eyes closed under single- and dual-task (concurrent cognitive task) conditions. Inertial measurement units recorded acceleration and angular velocity data that was used to calculate time-to-stability. Acute lower extremity musculoskeletal injuries were tracked from first team activity for six months. Cox proportional hazard models were used to determine if longer times to stability were associated with faster time to injury. Longer time-to-stability was associated with increased risk of injury; every 250 ms increase in dual-task median time-to-stability was associated with a 36% increased risk of acute, lower-extremity musculoskeletal injury. Tests of reactive balance, particularly under dual-task conditions, may be able to identify athletes most at risk of acute lower extremity musculoskeletal injury. Clinically-feasible, instrumented tests of reactive should be considered in assessments for prediction and mitigation of musculoskeletal injury in collegiate athletes.

Introduction Survival in elderly patients undergoing mastectomy or lumpectomy has not been specifically analyzed. Methods Patients older than 70 years of age with clinical stage I invasive breast cancer, undergoing mastectomy or lumpectomy with or without radiation, and surveyed within 3 years of their diagnosis, were identified from the Surveillance, Epidemiology, and End Results and medicare health outcomes survey-linked dataset. The primary endpoint was breast cancer-specific survival (CSS). Results Of 1784 patients, 596 (33.4 %) underwent mastectomy, 918 (51.4 %) underwent lumpectomy with radiation, and 270 (15.1 %) underwent lumpectomy alone. Significant differences were noted in age, tumor size, American Joint Committee on Cancer (AJCC) stage, lymph node status (all p   <  0.0001) and number of positive lymph nodes between the three groups ( p   =  0.003). On univariate analysis, CSS for patients undergoing lumpectomy with radiation [hazard ratio (HR) 0.61, 95 % confidence interval (CI) 0.43–0.85; p   =  0.004] was superior to mastectomy. Older age (HR 1.3, 95 % CI 1.09–1.45; p   =  0.002), two or more comorbidities (HR 1.57, 95 % CI 1.08–2.26; p   =  0.02), inability to perform more than two activities of daily living (HR 1.61, 95 % CI 1.06–2.44; p   =  0.03), larger tumor size (HR 2.36, 95 % CI 1.85–3.02; p   <  0.0001), and positive lymph nodes (HR 2.83, 95 % CI 1.98–4.04; p   <  0.0001) were associated with worse CSS. On multivariate analysis, larger tumor size (HR 1.89, 95 % CI 1.37–2.57; p   <  0.0001) and positive lymph node status (HR 1.99, 95 % CI 1.36–2.9; p   =  0.0004) independently predicted worse survival. Conclusions Elderly patients with early-stage invasive breast cancer undergoing breast conservation have better CSS than those undergoing mastectomy. After adjusting for comorbidities and functional status, survival is dependent on tumor-specific variables. Determination of lymph node status remains important in staging elderly breast cancer patients.

Assessing glomerular filtration rate (GFR) is critical for diagnosis, staging, and management of kidney disease. However, accuracy of estimated GFR (eGFR) is limited by large errors (>30% error present in >10-50% of patients), adversely impacting patient care. Errors often result from variation across populations of non-GFR determinants affecting the filtration markers used to estimate GFR. We hypothesized that combining multiple filtration markers with non-overlapping non-GFR determinants into a panel GFR could improve eGFR accuracy, extending current recognition that adding cystatin C to serum creatinine improves accuracy. Non-GFR determinants of markers can affect the accuracy of eGFR in two ways: first, increased variability in the non-GFR determinants of some filtration markers among application populations compared to the development population may result in outlying values for those markers. Second, systematic differences in the non-GFR determinants of some markers between application and development populations can lead to biased estimates in the application populations. Here, we propose and evaluate methods for estimating GFR based on multiple markers in applications with potentially higher rates of outlying predictors than in development data. We apply transfer learning to address systematic differences between application and development populations. We evaluated a panel of 8 markers (5 metabolites and 3 low molecular weight proteins) in 3,554 participants from 9 studies. Results show that contamination in two strongly predictive markers can increase imprecision by more than two-fold, but outlier identification with robust estimation can restore precision nearly fully to uncontaminated data. Furthermore, transfer learning can yield similar results with even modest training set sample size. Combining both approaches addresses both sources of error in GFR estimates. Once the laboratory challenge of developing a validated targeted assay for additional metabolites is overcome, these methods can inform the use of a panel eGFR across diverse clinical settings, ensuring accuracy despite differing non-GFR determinants.

Wearable sensors are increasingly popular in concussion research because of their objective quantification of subtle balance deficits. However, normative data and minimal detectable change (MDC) values are necessary to serve as references for diagnostic use and tracking longitudinal recovery. To identify normative and MDC values for instrumented static- and reactive-balance tests, an instrumented static mediolateral (ML) root mean square (RMS) sway standing balance assessment and the instrumented, modified push and release (I-mP&R), respectively. Cross-sectional study. Clinical setting. Normative static ML RMS sway and I-mP&R data were collected on 377 (n = 184 female) healthy National Collegiate Athletic Association Division I athletes at the beginning of their competitive seasons. Test-retest data were collected in 36 healthy control athletes based on standard recovery timelines after concussion. Descriptive statistics, intraclass correlation coefficients (ICCs), and MDC values were calculated for primary outcomes of ML RMS sway in a static double-limb stance on firm ground and a foam block, and time to stability and latency from the I-mP&R in single- and dual-task conditions. Normative outcomes across static ML RMS sway and I-mP&R were sensitive to sex and type of footwear. Mediolateral RMS sway demonstrated moderate reliability in the firm condition (ICC = 0.73; MDC = 2.7 cm/s2) but poor reliability in the foam condition (ICC = 0.43; MDC = 11.1 cm/s2). Single- and dual-task times to stability from the I-mP&R exhibited good reliability (ICC = 0.84 and 0.80, respectively; MDC = 0.25 and 0.29 seconds, respectively). Latency from the I-mP&R had poor to moderate reliability (ICC = 0.38 and 0.55; MDC = 107 and 105 milliseconds). Sex-matched references should be used for instrumented static- and reactive-balance assessments. Footwear may explain variability in static ML RMS sway and time to stability of the I-mP&R. Moderate-to-good reliability suggests time to stability from the I-mP&R and ML RMS static sway on firm ground can be used for longitudinal assessments.

Purpose Colorectal cancer survivorship has improved significantly over the last 20 years; however, few studies have evaluated depression among older colorectal cancer survivors, especially using a population-based sample. The aim of this study was to identify correlates for positive depression screen among colorectal cancer survivors who underwent potentially curative surgery. Methods Using the 1998–2007 Surveillance, Epidemiology, and End-Result registry and the Medicare Health Outcome Survey linked dataset, we identified patients over 65 with pathology confirmed and resected colorectal cancer enrolled in Medicare. Using univariate and multiple variable analyses, we identified characteristics of patients with and without positive depression screen. Results Resected colorectal cancer patients (1785) (median age 77, 50.8 % female) were identified in the dataset with 278 (15.6 %) screening positive for symptoms of depression. Median time from diagnosis to survey was 62 months. On univariate analysis, larger tumor size, advanced cancer stage, and extent of resection were not correlates of depressive symptoms (all p  > 0.05). After adjusting for confounders, income less than US$30,000 per year (OR 1.50, 1.02–2.22, 95 % CI, p  = 0.042), non-white race (OR 1.51, 1.05–2.17, 95 % CI, p  = 0.027), two or more comorbidities (OR 1.78, 1.25–2.52, 95 % CI, p  = 0.001), and impairment in activities of daily living (OR 5.28, 3.67–7.60, 95 % CI, p  < 0.001) were identified as independent correlates of depressive symptoms in colorectal cancer survivors. Conclusions In the current study, socioeconomic status and features of physical health rather than tumor characteristics were associated with symptoms of depression among long-term colorectal cancer survivors.

To examine the prevalence of depressive symptoms and associated risk factors in older adult breast cancer survivors (BCS) and age-matched non-cancer controls. Using the Surveillance, Epidemiology, and End Results-Medicare Health Outcome Survey linked dataset from 1998 to 2012, BCS and non-cancer controls aged 65 years or older were identified. Depressive symptoms, comorbidities, functional limitations, socio-demographics, and health-related information were examined. Univariate and multivariable logistic regression and marginal models were performed. 5,421 BCS and 21,684 controls were identified. BCS and non-cancer controls had similar prevalence of depressive symptoms. Having two or more comorbidities and functional limitations were strongly associated with elevated risk of depressive symptoms in BCS and non-cancer controls. Having multiple comorbidities and multiple functional status are key factors associated with depressive symptoms in older adult BCS and non-cancer controls. Nurses are in an ideal position to screen older adult BCS and non-cancer controls at risk for depressive symptoms.

Background Given diabetes is an important risk factor for cardiovascular disease (CVD), we examined temporal trends in CVD risk factors by comparing youth recently diagnosed with type 1 diabetes (T1D) and type 2 diabetes (T2D) from 2002 through 2012. Methods The SEARCH for Diabetes in Youth Study identified youth with diagnosed T1D (n = 3954) and T2D (n = 706) from 2002 to 2012. CVD risk factors were defined using the modified Adult Treatment Panel III criteria for metabolic syndrome: (a) hypertension; (b) high‐density lipoprotein cholesterol ≤40 mg/dL; (c) triglycerides ≥110 mg/dL; and (d) waist circumference (WC) >90th percentile. Prevalence of CVD risk factors, stratified by diagnosis year and diabetes type, was reported. Univariate and multivariate logistic models and Poisson regression were fit to estimate the prevalence trends for CVD risk factors individually and in clusters (≥2 risk factors). Results The prevalence of ≥2 CVD risk factors was higher in youth with T2D than with T1D at each incident year, but the prevalence of ≥2 risk factors did not change across diagnosis years among T1D or T2D participants. The number of CVD risk factors did not change significantly in T1D participants, but increased at an annual rate of 1.38% in T2D participants. The prevalence of hypertension decreased in T1D participants, and high WC increased in T2D participants. Conclusion The increase in number of CVD risk factors including large WC among youth with T2D suggests a need for early intervention to address these CVD risk factors. Further study is needed to examine longitudinal associations between diabetes and CVD.

IntroductionThere remains uncertainty about whether transitioning to oral antibiotic therapy is appropriate for the management of children with methicillin-resistant Staphylococcus aureus (MRSA) bacteremic osteomyelitis. We compared clinical outcomes for children with MRSA osteomyelitis with associated bacteremia who were transitioned to discharge oral antibiotic therapy to those discharged on outpatient parenteral antibiotic therapy (OPAT).MethodsWe performed a retrospective, multicenter, cohort study of children ≤ 18 years hospitalized with MRSA bacteremic osteomyelitis across four children’s hospitals from 2007 to 2018 discharged on oral antibiotic therapy versus OPAT. The primary outcome was treatment failure within 6 months of discharge, defined as any of the following: diagnosis of chronic osteomyelitis, conversion from oral to IV antibiotic route, an operative procedure after the index hospitalization (abscess drainage, bone biopsy, arthrocentesis, or pathologic fracture) and/or recrudescence of MRSA bacteremia. Outcomes were analyzed in an inverse propensity score weighted (IPW) cohort.ResultsA total of 106 cases of MRSA bacteremic osteomyelitis were included; 44 (42%) were discharged in the oral antibiotic therapy group and 62 (59%) patients were discharged in the OPAT group. In the IPW cohort, treatment failure within 6 months of discharge occurred in 3.4% of children in the discharge oral therapy group and 16.3% in the OPAT group (P = 0.03). The odds of 6-month composite treatment failure between discharge oral therapy and OPAT were 0.18 (95% CI 0.05–0.61).ConclusionsDischarge oral therapy was not associated with higher rates of treatment failure compared to OPAT for children with MRSA bacteremic osteomyelitis.