Low bone mineral density (BMD) is prevalent in human immunodeficiency virus (HIV)–infected subjects. Initiation of antiretroviral therapy is associated with a 2%–6% decrease in BMD over the first 2 years, a decrease that is similar in magnitude to that sustained during the first 2 years of menopause. Recent studies have also described increased fracture rates in the HIV-infected population. The causes of low BMD in individuals with HIV infection appear to be multifactorial and likely represent a complex interaction between HIV infection, traditional osteoporosis risk factors, and antiretroviral-related factors. In this review, we make the point that HIV infection should be considered as a risk factor for bone disease. We recommend screening patients with fragility fractures, all HIV-infected post-menopausal women, and all HIV-infected men ≥50 years of age. We also discuss the importance of considering secondary causes of osteoporosis. Finally, we discuss treatment of the more severe cases of bone disease, while outlining the caveats and gaps in our knowledge.

Background Few weight-loss interventions are evaluated for longer than a year, and even fewer employ social and mobile technologies commonly used among young adults. We assessed the efficacy of a two-year, theory-based weight-loss intervention that was remotely and adaptively delivered via integrated user-experiences with 1) Facebook, 2) mobile apps, 3) text messaging, 4) emails, 5) a website, and 6) technology-mediated communication with a health coach. Methods From May 2011 to May 2012, 404 overweight or obese college students (aged 18 to 35 years) from three universities in San Diego, CA were randomized using a computer-based procedure to receive either the intervention (n=202) or general information about health and wellness (control group, n=202). The primary outcome was objectively measured weight in kg at 24 months, and differences between groups were evaluated using linear mixed-effects regression and an intention-to-treat framework. The trial was registered with ClinicalTrials.gov NCT01200459. Findings Participants’ mean (standard deviation (SD)) age was 22·7 (3.8) years. They were 70% female and 31% Hispanic. Mean (SD) body mass index was 29·0 (2.8) kg/m2. At 24 months, weight was assessed in 341 (84%) participants, but all 404 were included in analyses. Weight, adjusted for sex, ethnicity, and college, was significantly less in the intervention group compared to the control group at 6 months (−1·33 kg, 95% confidence interval (CI) = −2·36 to −0·30, p = 0·011) and 12 months (−1·33 kg, 95% CI =−2·30 to −0·35, p = 0·008). However, differences between groups at 18 months (−0·67 kg, 95% CI = −1·69 to 0·35, p = 0·200) and 24 months (−0·79 kg, 95% CI = −2·02 to 0·43, p = 0·204) were not significant. Interpretation Social and mobile technologies may facilitate limited short-term weight loss among young adults, but as utilized in this intervention, these approaches did not produce sustained reductions in weight.

WHAT'S KNOWN ON THIS SUBJECT: Adolescents with chronic disease are a diverse population with common needs for transition. Disease-specific interventions have shown promise at improving patient outcomes but with substantial personnel and resource costs. Whether a generic approach across diseases may be useful is unknown. WHAT THIS STUDY ADDS:This study is among the first to evaluate a generic (across disease) approach to transition of adolescents to adult care. The approach demonstrated promise and cost savings due to reduced personnel requirement and use of lowcost technology dissemination methods.abstract BACKGROUND: Adolescents with chronic disease (ACD) must develop independent disease self-management and learn to communicate effectively with their health care team to transition from pediatric to adult-oriented health care systems. Disease-specific interventions have been implemented to aid specific ACD groups through transition. A generic approach might be effective and cost-saving.METHODS: Eighty-one ACD, aged 12 to 20 years, were recruited for a randomized clinical trial evaluating an 8-month transition intervention (MD2Me). MD2Me recipients received a 2-month intensive Web-based and text-delivered disease management and skill-based intervention followed by a 6-month review period. MD2Me recipients also had access to a texting algorithm for disease assessment and health care team contact. The intervention was applicable to adolescents with diverse chronic illnesses. Controls received mailed materials on general health topics. Disease management, health-related self-efficacy, and health assessments were performed at baseline and at 2 and 8 months. Frequency of patient-initiated communications was recorded over the study period. Outcomes were analyzed according to assigned treatment group over time. RESULTS:MD2Me recipients demonstrated significant improvements in performance of disease management tasks, health-related selfefficacy, and patient-initiated communications compared with controls.CONCLUSIONS: Outcomes in ACD improved significantly among recipients of a generic, technology-based intervention. Technology can deliver transition interventions to adolescents with diverse chronic illnesses, and a generic approach offers a cost-effective means of positively influencing transition outcomes. Further research is needed to determine whether improved short-term outcomes translate into an improved transition for ACD.

Background Children surviving acute lymphoblastic leukemia (ALL) are at increased risk for overweight and obesity over that of the general population. Whether a generic or tailored approach to weight management is needed for cancer survivors has yet to be tested. Procedure Thirty-eight youth 8–18 years with BMI≥85% who had survived ALL were recruited for a randomized clinical trial evaluating a weight management intervention (WMI) tailored for childhood ALL survivors (Fit4Life). Fit4Life recipients received a 4-month web, phone, and text message-delivered WMI tailored for cancer survivorship. Controls received a general WMI delivered via phone and mail. Assessments were performed at baseline and 4 months. Outcome data were analyzed according to assigned treatment condition over time. Results Most (80% (70%,100%) [median (IQR)]) of the assigned curriculum was received by Fit4Life participants as compared to 50% (40%,65%) among controls. Fit4Life recipients ≥14 years demonstrated less weight gain (p=0.05) and increased moderate-to-vigorous physical activity (p<0.01) while all Fit4Life recipients reported reduced negative mood (p<0.05) over time as compared to control counterparts. Conclusions We demonstrated acceptable feasibility of a WMI tailored for overweight and obese children surviving ALL utilizing a multimodal technology approach. Improved weight, weight-related behavior, and psychological outcomes were demonstrated among Fit4Life intervention as compared to youth receiving a generic WMI. Data from this pilot trial may be used to design a larger trial to determine whether youth of all ages also can derive a benefit from a cancer-survivor tailored WMI and whether short-term outcomes translate into improved long-term outcomes for childhood ALL survivors.

HIV-infected women demonstrate reduced bone density. Altered nutritional status, hormonal function and body composition may contribute to lower bone density in HIV-infected women. Consideration should be given to testing bone density in HIV-infected women with risk factors for osteopenia.

Changes in fat distribution, dyslipidemia, disordered glucose metabolism, and lactic acidosis have emerged as significant challenges to the treatment of human immunodeficiency virus (HIV) infection. Over the past decade, numerous investigations have been conducted to better define these conditions, identify risk factors associated with their development, and test potential therapeutic interventions. The lack of standardized diagnostic criteria, as well as disparate study populations and research methods, have led to conflicting data regarding the diagnosis and treatment of metabolic and body shape disorders associated with HIV infection. On the basis of a review of the medical literature published and/or data presented before April 2006, we have prepared a guide to assist the clinician in the detection and management of these complications.

Parents' perceptions of their own children's weight status are influenced by their children's characteristics and do not seem to correspond with their weight perceptions of unrelated children. Parental recognition of weight issues in their offspring may be impeded by their inability to apply criteria used to ascertain the weight status of unrelated children to their own children.

BACKGROUND: Current pain assessment methods in youth are suboptimal and vulnerable to bias and underrecognition of clinical pain. Facial expressions are a sensitive, specific biomarker of the presence and severity of pain, and computer vision (CV) and machine-learning (ML) techniques enable reliable, valid measurement of pain-related facial expressions from video. We developed and evaluated a CVML approach to measure pain-related facial expressions for automated pain assessment in youth. METHODS:A CVML-based model for assessment of pediatric postoperative pain was developed from videos of 50 neurotypical youth 5 to 18 years old in both endogenous/ongoing and exogenous/transient pain conditions after laparoscopic appendectomy. Model accuracy was assessed for self-reported pain ratings in children and time since surgery, and compared with by-proxy parent and nurse estimates of observed pain in youth.RESULTS: Model detection of pain versus no-pain demonstrated good-to-excellent accuracy (Area under the receiver operating characteristic curve 0.84-0.94) in both ongoing and transient pain conditions. Model detection of pain severity demonstrated moderate-to-strong correlations (r = 0.65-0.86 within; r = 0.47-0.61 across subjects) for both pain conditions. The model performed equivalently to nurses but not as well as parents in detecting pain versus no-pain conditions, but performed equivalently to parents in estimating pain severity. Nurses were more likely than the model to underestimate youth self-reported pain ratings. Demographic factors did not affect model performance.CONCLUSIONS: CVML pain assessment models derived from automatic facial expression measurements demonstrated good-to-excellent accuracy in binary pain classifications, strong correlations with patient self-reported pain ratings, and parent-equivalent estimation of children's pain levels over typical pain trajectories in youth after appendectomy. WHAT'S KNOWN ON THIS SUBJECT:Clinical pain assessment methods in youth are vulnerable to underestimation bias and underrecognition. Facial expressions are sensitive, specific biomarkers of the presence and severity of pain. Computer vision-based pattern recognition enables measurement of painrelated facial expressions from video. WHAT THIS STUDY ADDS:This study demonstrates initial validity for developing computer vision algorithms for automated pain assessment in children. The system developed and tested in this study could provide standardized, continuous, and valid patient monitoring that is potentially scalable. Mr Sikka performed the machine learning under the guidance of Dr Bartlett, drafted the initial manuscript, and reviewed and revised the manuscript; Mr Ahmed carried out a portion of the initial analyses and reviewed and revised the manuscript; Dr Diaz performed data collection, performed a portion of the initial analyses, and reviewed and revised the manuscript; Drs Craig and Goodwin reviewed all analyses, and critically reviewed and revised the manuscript; Drs Bartlett and Huang concep...