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Introduction Management of chronic kidney disease (CKD) entails high medical complexity and often results in high hospitalization burden. There are limited data on the associations of longitudinal hospital utilization patterns with adverse clinical outcomes in individuals with CKD. Methods We derived cumulative all-cause hospitalization trajectory groups using latent class trajectory analysis in 3012 participants of the Chronic Renal Insufficiency Cohort (CRIC) Study who were alive and did not reach end-stage kidney disease (ESKD) within 4 years of study entry. Cox proportional hazards models tested the associations between hospitalization trajectory groups and risks of ESKD and death prior to the onset of ESKD (ESKD-censored death). Results Within 4 years of study entry, there were 5658 hospitalizations among 3012 participants. We identified 3 distinct subgroups of individuals with CKD based on cumulative all-cause hospitalization trajectories over 4 years: low-utilizer (n = 1066), intermediate-utilizer (n = 1802), and high-utilizer (n = 144). High-utilizers represented a patient population of lower socioeconomic status who had a greater prevalence of comorbid conditions and lower kidney function compared with intermediate- and low-utilizers. After the 4-year ascertainment period to form the trajectory subgroups, there were 544 ESKD events and 437 ESKD-censored deaths during a median follow-up time of 5.1 years. Compared with low-utilizers, intermediate-utilizers and high-utilizers were at 1.49-fold (95% confidence interval [CI] 1.22–1.84) and 1.75-fold (95% CI 1.20–2.56) higher risk of ESKD in adjusted analyses, respectively. Compared with low-utilizers, intermediate-utilizers and high-utilizers were at 1.48-fold (95% CI 1.17–1.87) and 2.58-fold (95% CI 1.74–3.83) higher risk of ESKD-censored death in adjusted analyses, respectively. Conclusions Trajectories of cumulative all-cause hospitalization identify subgroups of individuals with CKD who are at high risk of ESKD and death., Graphical abstract

Background Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen deposition and remodeling of the dermis occur over time. The most widely used outcome measure in SSc clinical trials is the modified Rodnan skin score (mRSS), which is a semi-quantitative assessment of skin stiffness at seventeen body sites. However, the mRSS is confounded by obesity, edema, and high inter-rater variability. In order to develop a new histopathological outcome measure for SSc, we applied a computer vision technology called a deep neural network (DNN) to stained sections of SSc skin. We tested the hypotheses that DNN analysis could reliably assess mRSS and discriminate SSc from normal skin. Methods We analyzed biopsies from two independent (primary and secondary) cohorts. One investigator performed mRSS assessments and forearm biopsies, and trichrome-stained biopsy sections were photomicrographed. We used the AlexNet DNN to generate a numerical signature of 4096 quantitative image features (QIFs) for 100 randomly selected dermal image patches/biopsy. In the primary cohort, we used principal components analysis (PCA) to summarize the QIFs into a Biopsy Score for comparison with mRSS. In the secondary cohort, using QIF signatures as the input, we fit a logistic regression model to discriminate between SSc vs. control biopsy, and a linear regression model to estimate mRSS, yielding Diagnostic Scores and Fibrosis Scores, respectively. We determined the correlation between Fibrosis Scores and the published Scleroderma Skin Severity Score (4S) and between Fibrosis Scores and longitudinal changes in mRSS on a per patient basis. Results In the primary cohort (n = 6, 26 SSc biopsies), Biopsy Scores significantly correlated with mRSS (R = 0.55, p = 0.01). In the secondary cohort (n = 60 SSc and 16 controls, 164 biopsies; divided into 70% training and 30% test sets), the Diagnostic Score was significantly associated with SSc-status (misclassification rate = 1.9% [training], 6.6% [test]), and the Fibrosis Score significantly correlated with mRSS (R = 0.70 [training], 0.55 [test]). The DNN-derived Fibrosis Score significantly correlated with 4S (R = 0.69, p = 3 × 10− 17). Conclusions DNN analysis of SSc biopsies is an unbiased, quantitative, and reproducible outcome that is associated with validated SSc outcomes.

Objectives Disability prevention strategies are more achievable before osteoarthritis disease drives impairment. It is critical to identify high-risk groups, for strategy implementation and trial eligibility. An established measure, gait speed is associated with disability and mortality. We sought to develop and validate risk stratification trees for incident slow gait in persons at high risk for knee osteoarthritis, feasible in community and clinical settings. Methods Osteoarthritis Initiative (derivation cohort) and Multicenter Osteoarthritis Study (validation cohort) participants at high risk for knee osteoarthritis were included. Outcome was incident slow gait over up to 10-year follow-up. Derivation cohort classification and regression tree analysis identified predictors from easily assessed variables and developed risk stratification models, then applied to the validation cohort. Logistic regression compared risk group predictive values; area under the receiver operating characteristic curves (AUCs) summarised discrimination ability. Results 1870 (derivation) and 1279 (validation) persons were included. The most parsimonious tree identified three risk groups, from stratification based on age and WOMAC Function. A 7-risk-group tree also included education, strenuous sport/recreational activity, obesity and depressive symptoms; outcome occurred in 11%, varying 0%–29 % (derivation) and 2%–23 % (validation) depending on risk group. AUCs were comparable in the two cohorts (7-risk-group tree, 0.75, 95% CI 0.72 to 0.78 (derivation); 0.72, 95% CI 0.68 to 0.76 (validation)). Conclusions In persons at high risk for knee osteoarthritis, easily acquired data can be used to identify those at high risk of incident functional impairment. Outcome risk varied greatly depending on tree-based risk group membership. These trees can inform individual awareness of risk for impaired function and define eligibility for prevention trials.

Objective Identify distinct trajectories of lack of knee confidence over an 8-year follow-up period and examine baseline factors associated with poor trajectories in persons with or at risk for knee osteoarthritis (OA). Methods The Osteoarthritis Initiative is a prospective cohort study of persons with or at high risk for knee OA. Confidence in the knees was assessed within the Knee Injury and Osteoarthritis Outcome Score instrument querying how much the individual is troubled by lack of confidence in his/her knee(s), rated as not-at-all (0), mildly (1), moderately (2), severely (3), and extremely (4) troubled, reported annually from baseline to 96 months. Lack of knee confidence was defined as a score ≥ 2. We used latent class models to identify subgroups that share similar underlying knee confidence trajectories over an 8-year period, and multivariable multinomial logistic regression models to examine baseline factors associated with poor trajectories. Results Among 4515 participants [mean age 61.2 years (SD 9.2), BMI 28.6 kg/m2 (4.8); 2640 (58.5%) women], four distinct knee confidence trajectories were identified: persistently good (65.6%); declining (9.1%); poor, improving (13.9%); and persistently poor (11.4%). Baseline predictors associated with persistently poor confidence (reference: persistently good) were younger age, male sex, higher BMI, depressive symptoms, more advanced radiographic disease, worse knee pain, weaker knee extensors, history of knee injury and surgery, and reported hip and/or ankle pain. Conclusion Findings suggest the dynamic nature of self-reported knee confidence and addressing modifiable factors (e.g., BMI, knee strength, depressive symptoms, lower limb pain) may improve its long-term course.

Background Increased incidence and life expectancy have resulted in a growing population of patients with metastatic breast cancer, and these patients experience high rates of morbidity and premature mortality. Increased physical activity (PA) is consistently associated with improved health and disease outcomes among early-stage survivors. However, there is a paucity of research on PA in patients with metastatic breast cancer, and existing PA interventions have exhibited low feasibility because of their focus on intense PA and/or requirement of on-site visits. Mobile health (mHealth)–based PA interventions may be particularly useful for patients with metastatic breast cancer because they allow for remote monitoring, which facilitates individual tailoring of PA recommendations to patients’ abilities and may minimize participant burden. However, no studies have examined mHealth PA interventions in patients with metastatic breast cancer. Objective We aim to address these critical research gaps by testing a highly tailored technology-based intervention to promote PA of any intensity (ie, light, moderate, or vigorous) by increasing daily steps in patients with metastatic breast cancer. The primary aim of this study is to test the feasibility and acceptability of the Fit2ThriveMB intervention. We will also examine outcome patterns suggesting the efficacy of Fit2ThriveMB on symptom burden, quality of life, and functional performance. Methods The Fit2ThriveMB trial is a two-arm pilot randomized controlled trial that will compare the effects of a smartphone-delivered, home-based PA intervention and an attention-control education condition on PA and quality of life in low-active female patients with metastatic breast cancer. A subsample (n=25) will also complete functional performance measures. This innovative trial will recruit 50 participants who will be randomized into the study’s intervention or control arm. The intervention will last 12 weeks. The Fit2ThriveMB intervention consists of a Fitbit, coaching calls, and the Fit2ThriveMB smartphone app that provides self-monitoring, a tailored goal-setting tool, real-time tailored feedback, app notifications, and a group message board. Assessments will occur at baseline and post intervention. Results The Fit2ThriveMB study is ongoing. Data collection ended in February 2021. Conclusions Data from this study will provide the preliminary effect sizes needed to assemble an intervention that is to be evaluated in a fully powered trial. In addition, these data will provide essential evidence to support the feasibility and acceptability of using a technology-based PA promotion intervention, a scalable strategy that could be easily integrated into care, among patients with metastatic breast cancer. Trial Registration ClinicalTrials.gov NCT04129346; https://clinicaltrials.gov/ct2/show/NCT04129346 International Registered Report Identifier (IRRID) DERR1-10.2196/24254

Objective Obesity has been found to be a risk factor for hospitalization with COVID‐19. We were interested in understanding whether patients hospitalized with COVID‐19 differed in BMI at older versus younger ages, and if trends were independent of diabetes and hypertension. Methods We performed a cross‐sectional analysis of patients hospitalized with moderate to severe COVID‐19 at Northwestern Memorial Hospital from March 19th, 2020 until April 4th, 2020. We compared patients hospitalized with COVID‐19 above and below the age of 50, and to those hospitalized without COVID‐19. Results We found patients younger than 50 years of age hospitalized with COVID‐19 without diabetes or hypertension had mean BMI greater than those older than 50 years of age, with BMI 43.1 (95%CI 34.5 – 51.7) kg/m2 vs 30.1 (95%CI 27.7 – 32.5) kg/m2 (p=0.02). Furthermore, BMI appears to inversely correlate with increasing age amongst patients hospitalized with COVID‐19. We did not detect the same difference or trend for patients hospitalized without COVID‐19. Conclusion We found younger patients (age

Objective The objective of the study was to describe the effect of the vaginal ring and transdermal patch on lamotrigine serum levels in women with epilepsy. Background Previous studies demonstrate that oral hormonal contraceptives containing synthetic estrogen increase lamotrigine clearance through induction of glucuronidation. This leads to variable lamotrigine serum concentrations throughout monthly cycles in women who are on combined oral contraceptives (COCs). The effects of estrogen-containing nonoral hormonal contraceptive methods, including the vaginal ring and transdermal patch, on lamotrigine pharmacokinetics are not well described. Methods Retrospective chart review was performed to identify serum lamotrigine levels drawn from women with epilepsy while on the active phase of vaginal ring or transdermal patch and while off contraception. Wilcoxon signed-rank tests for paired data were used to compare the difference in dose-corrected lamotrigine concentration in plasma between values while on hormonal contraception to those while off contraception in patients using a vaginal ring. Results Six patients were using the vaginal ring, and one patient was using the transdermal patch. Lamotrigine dose-corrected concentrations were decreased during the active phase of the vaginal ring compared with concentrations during the period off contraception (p = .04). There was one patient without a decrease in concentration, but the other five patients on the vaginal ring had a decrease in dose-corrected lamotrigine concentration ranging from 36 to 70% while on the vaginal ring. Similarly, one patient using the transdermal patch had a decrease of 37% in dose-corrected lamotrigine concentration while on the patch. Conclusions The findings support that the vaginal ring contraceptive method decreases lamotrigine concentrations during the active phase of treatment. This has important implications for contraceptive counseling and maintaining therapeutic levels in women of childbearing age with epilepsy.

Objective To determine the association between serum autoantibodies and survival in patients with incident systemic sclerosis (SSc)–pulmonary arterial hypertension (PAH) enrolled in the Pulmonary Hypertension Assessment and Recognition of Outcomes in Scleroderma (PHAROS) Registry. Methods Patients with definite PAH diagnosed by right heart catheterization within 6 months of registry enrollment were studied. Serum autoantibodies were assayed at each participating institution’s clinical laboratory. Mortality data were collected from electronic medical records and/or the Social Security Death Index. Kaplan−Meier survival estimates were reported for five autoantibody groups (anticentromere/AC, nucleolar ANA/NUC, anti-topoisomerase/Scl-70, overlapping or non-specific autoantibodies/other, and a combined group with similar survival consisting of RNA polymerase III, U1RNP, and autoantibody-negative patients). Cox proportional hazards models permitted examination of the association between autoantibody groups and overall survival, controlling for age, sex, race, and SSc disease duration. Results In all, 162 subjects had PAH, and serum autoantibody and survival information; 60 (37%) had AC, 39 (24%) NUC, 11 (7%) Scl-70, 28 (17%) had other, 9 (6%) RNA pol, 8 (5%) U1RNP autoantibodies, and 7 (4%) had negative antibodies; 32 (20%) subjects died over a median follow-up time of 2.1 years (range: 0.01–6.8); 1- and 3-year survival estimates were, respectively, 94% and 78% for AC, 94% and 72% for NUC, 89% and 63% for Scl-70, 92% and 79% for the other group, and 100% and 93% for the combined group. Unadjusted and adjusted hazard ratios revealed no statistically significant association between risk of death and autoantibodies. Conclusion Anticentromere and NUC autoantibodies are prevalent in SSc-PAH patients. An association between serum autoantibodies and survival in patients with SSc-PAH was not identified in the PHAROS cohort.