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The determinants of bone mineral density (BMD) at multiple sites were examined in a fit college population. Subjects were 755 males (mean age = 18.7 years) entering the United States Military Academy. A questionnaire assessed exercise frequency and milk, caffeine, and alcohol consumption and tobacco use. Academy staff measured height, weight, and fitness. Calcaneal BMD was measured by peripheral dual-energy x-ray absorptiometry (pDXA). Peripheral-quantitative computed tomography (pQCT) was used to measure tibial mineral content, circumference and cortical thickness. Spine and hip BMD were measured by DXA in a subset (n = 159). Mean BMD at all sites was approximately one standard deviation above young normal (p < 0.05). African Americans had significantly higher hip, spine and heel BMD and greater tibial mineral content and cortical thickness than Caucasians and Asians. In Caucasians (n = 653), weight was a significant determinant of BMD at every skeletal site. Prior exercise levels and milk intake positively related to bone density and size, while caffeine had a negative impact. There was an apparent interaction between milk and exercise in BMD at the heel, spine, hip and tibial mineral content and cortical thickness. Our data confirm the importance of race, body size, milk intake and duration of weekly exercise as determinants of BMD and bone size. [ABSTRACT FROM AUTHOR]

Abstract Purpose To determine the influence of menstrual irregularity, oral contraceptive use and other factors on bone mineral density (BMD) and bone size at different skeletal sites in 135 college-aged fit women. Methods Menstrual history, oral contraceptive use, exercise history, and nutritional factors including calcium, caffeine, and alcohol intake as well as tobacco use were determined by written survey. Height, weight and fitness levels were measured. Spine and hip BMD were measured by dual x-ray absorptiometry (DXA), calcaneus BMD by peripheral DXA, and tibial bone mineral content (BMC) and size by peripheral Quantitative Computed Tomography (pQCT). Results The mean age was 18.4 ± 0.8 years. Weight and prior exercise were positively related to BMD at most skeletal sites and to tibial bone size. Milk intake was positively related to calcaneal BMD, tibial BMC and cortical thickness. Fracture history was an important predictor of spine, hip and heel BMD. Women who had ≥ 10 menstrual cycles in the year prior to BMD measurement had higher BMD at all sites as well as a greater tibial mineral content and cortical thickness than women who had oligomenorrhea/amenorrhea (≤ 9 cycles in the prior year; all p < 0.05). Oral Contraceptive (OC) users had significantly lower BMD in the spine (p < 0.02) and calcaneus (p = 0.04), smaller tibial periosteal circumference and lower tibial mineral content (p < 0.02) than non-OC users. Conclusion In a population of fit, college-aged women, OC use and oligomenorrhea were associated with reduced BMD and bone size. Weight, as well as prior exercise and milk intake was positively related to bone density and size at some skeletal sites. Understanding these relationships would help improve skeletal health in young women.

Objectives: We previously described a 6-item teamwork index (TEAM) with a strong relationship to provider experience, lower burnout, and intent to stay. We now sought to determine whether (1) TEAM relates to higher patient Net Promoter Score (NPS, or likelihood of patient referring to the organization) and (2) teamwork mediates a provider experience-NPS relationship., Study Design: A provider wellness survey was administered in the fall of 2019 in 6 care delivery organizations (CDOs) with patient NPS data., Methods: Measures included a validated burnout item, 6-item TEAM measure, provider experience metric, standard intent-to-stay question, and NPS data from 79,254 patients matched to CDO. Regression analyses modeled relationships among TEAM, provider experience, and NPS. Open-ended comments were reviewed to confirm patient NPS findings., Results: There were 1386 provider respondents (53% physicians, 47% advanced practice clinicians, 58% female, 62% White, 58% in primary care; response rate, 55.7%). Median NPS was 83%. TEAM was associated with patient NPS greater than the median (53% with high TEAM and high NPS vs 44% with low TEAM and high NPS; P < .001), as was provider experience (52% vs 45%; P < .05). In regression analyses, patient NPS was strongly related to TEAM (adjusted OR, 1.41; 95% CI, 1.25-1.60; P < .001). The provider experience-patient NPS relationship was partly mediated by TEAM. Open-ended comments confirmed positive or negative sentiments related to NPS., Conclusions: Teamwork and provider experience relate to patient NPS, and the provider experience-NPS relationship appears to be mediated by teamwork.

(1) Background: Prostate-specific membrane antigen (PSMA) positron emission tomography (PET)-derived parameters, such as the commonly used standardized uptake value (SUV) and PSMA-positive tumor volume (PSMA-TV), have been proposed for response assessment in metastatic prostate cancer (PCa) patients. However, the calculation of whole-body PSMA-TV remains a time-consuming procedure. We hypothesized that it may be possible to quantify changes in PSMA-TV by considering only a limited number of representative lesions. (2) Methods: Sixty-five patients classified into different disease stages were assessed by PSMA PET/CT for staging and restaging after therapy. Whole-body PSMA-TV and whole-body SUV max were calculated. We then repeated this calculation only including the five or ten hottest or largest lesions. The corresponding serum levels of prostate-specific antigen (PSA) were also determined. The derived delta between baseline and follow-up values provided the following parameters: ΔSUV maxall , ΔSUV max10 , ΔSUV max5 , ΔPSMA-TV all , ΔPSMA-TV 10 , ΔPSMA-TV 5 , ΔPSA. Finally, we compared the findings from our whole-body segmentation with the results from our keyhole approach (focusing on a limited number of lesions) and correlated all values with the biochemical response (ΔPSA). (3) Results: Among patients with metastatic hormone-sensitive PCa (mHSPC), none showed a relevant deviation for ΔSUV max10 /ΔSUV max5 or ΔPSMA-TV 10 /ΔPSMA-TV 5 compared to ΔSUV maxall and ΔPSMA-TV all . For patients treated with taxanes, up to 6/21 (28.6%) showed clinically relevant deviations between ΔSUV maxall and ΔSUV max10 or ΔSUV max5 , but only up to 2/21 (9.5%) patients showed clinically relevant deviations between ΔPSMA-TV all and ΔPSMA-TV 10 or ΔPSMA-TV 5 . For patients treated with radioligand therapy (RLT), up to 5/28 (17.9%) showed clinically relevant deviations between ΔSUV maxall and ΔSUV max10 or ΔSUV max5 , but only 1/28 (3.6%) patients showed clinically relevant deviations between ΔPSMA-TV all and ΔPSMA-TV 10 or ΔPSMA-TV 5 . The highest correlations with ΔPSA were found for ΔPSMA-TV all (r ≥ 0.59, p ≤ 0.01), followed by ΔPSMA-TV 10 (r ≥ 0.57, p ≤ 0.01) and ΔPSMA-TV 5 (r ≥ 0.53, p ≤ 0.02) in all cohorts. ΔPSA only correlated with ΔSUV maxall (r = 0.60, p = 0.02) and with ΔSUV max10 (r = 0.53, p = 0.03) in the mHSPC cohort, as well as with ΔSUV maxall (r = 0.51, p = 0.01) in the RLT cohort. (4) Conclusion: Response assessment using PSMA-TV with a reduced number of lesions is feasible, and may allow for a simplified evaluation process for PSMA PET/CT.

Academic medical centers need to make sensitive data from electronic health records, payer claims, genomic pipelines, and other sources available for analytical and educational purposes while ensuring privacy and security. Although many studies have described warehouses for collecting biomedical data, few studies have described secure computing environments for analysis of sensitive data. This case report describes the Weill Cornell Medicine Data Core with respect to user access, data controls, hardware, software, audit, and financial considerations. In the 2.5 years since launch, the Data Core has supported more than 200 faculty, staff, and students across nearly 60 research and education projects. Other institutions may benefit from adopting elements of the approach, including tools available on Github, for balancing access with privacy and security.

Unlabelled: Gender differences in fractures may be related to body size, bone size, geometry, or density. We studied this in 18-year-old males (n = 36) and females (n = 36) matched for height and weight. Despite comparable body size, males have greater BMC and BMD at the hip and distal tibia and greater tibial cortical thickness. This may confer greater skeletal integrity in males., Introduction: Gender differences in fractures may be related to body size, bone size, geometry, or density. We studied this in males (n = 36) and females (n = 36; mean age = 18 years) pair-matched for height and weight., Materials and Methods: BMC, bone area (BA), and BMD were measured in the spine and hip using DXA. Distal tibia was measured by pQCT., Results and Conclusions: Males had a higher lean mass (92%) compared with females (79%). No gender differences were observed for vertebral BMC or vertebral height, although males had greater width and thus BA at the spine. Males had greater BMC and BA at the femoral neck and total femur (p < 0.02). Geometric variables of the hip including neck diameter and neck-axis length were also greater in males (p < 0.02). There was greater cross-sectional moment of inertia, safety factor, and fall index in males (all p < 0.02). Males had greater tibial BMC, volumetric BMD, and cortical area and thickness compared with females (p < 0.01), with both greater periosteal circumference (p = 0.011) and smaller endosteal circumference (p = 0.058). Statistically controlling for lean mass reduced gender differences, but males still had 8% higher hip BMD (p = 0.24) and 5.3% higher total tibial BMD (p = 0.05). A subset of males and females were matched (n = 14 pairs) for total hip BA. Males in this subset still had greater BMC and BMD at the total hip (p < 0.05) than females, despite similar BA. In summary, despite comparable body size, males have greater BMC and BMD than females at the hip and distal tibia but not at the spine. Differences in BMC and BMD were related to greater cortical thickness in the tibia. We conclude that differences in bone mass and geometry confer greater skeletal integrity in males, which may contribute to the lower incidence of stress and osteoporotic fractures in males.