Drug-induced bone loss: a major safety concern in Europe

Introduction: Drug-induced bone loss remains the major cause of vertebral and hip fractures and significantly associated to morbidity and mortality. This article will review the common drugs identified as the causes of bone loss and the risk factors and management in European countries.

Areas covered: Beyond glucorticoid – the most cause of osteoporosis, many different drugs could cause harmful skeletal disorders. The antiepileptics, hormonal therapy, GnRH antagonists, aromatase inhibitors are well-known cause of bone loss. Osteoporosis and fractures risk also increased with calcineurin inhibitors, antiretroviral drugs, selective inhibitors of serotonin reuptake, loop diuretics, heparins, oral anticoagulants, high doses of thyroxine and proton pump inhibitors.

Expert opinion: Drugs are an important secondary cause of osteoporosis. Healthcare professionals should reassess the requirement for drugs and use the lowest dosage and shortest duration. Lifestyle changes, adequate calcium, vitamin D supplement, appropriate monitoring of bone status and initiating osteoporosis treatment if indicated are recommended when drugs having potential deleterious effects on bone are used, particularly in high risk patients. The update and further studies would provide concluded evidences of controversial drugs induced bone loss and determine the best prevention and treatment strategies.     

Out of sight but not out of mind: Home countries' macroeconomic volatilities and immigrants' mental health

We provide the first empirical evidence that better economic performances by immigrants' countries of origin, as measured by lower consumer price index (CPI) or higher gross domestic product, improve immigrants' mental health. We use an econometrically‐robust approach that exploits exogenous changes in macroeconomic conditions across immigrants' home countries over time and controls for immigrants' observable and unobservable characteristics. The CPI effect is statistically significant and sizeable. Furthermore, the CPI effect diminishes as the time since emigrating increases. By contrast, home countries' unemployment rates and exchange rate fluctuations have no impact on immigrants' mental health.     

Sequential prevalence estimation with pooling and continuous test outcomes

Prevalence estimation is crucial for controlling the spread of infections and diseases and for planning of health care services. Prevalence estimation is typically conducted via pooled, or group, testing due to limited testing budgets. We study a sequential estimation procedure that uses continuous pool readings and considers the dilution effect of pooling so as to efficiently estimate an unknown prevalence rate. Embedded into the sequential estimation procedure is an optimization model that determines the optimal pooling design (number of pools and pool sizes) under a limited testing budget, considering the trade‐off between testing cost and estimation accuracy. Our numerical study indicates that the proposed sequential estimation procedure outperforms single‐stage procedures, or procedures that use binary test outcomes. Further, the sequential procedure provides robust prevalence estimates in cases where the initial estimate of the unknown prevalence rate is poor, or the assumed distribution of the biomarker load in infected subjects is inaccurate. Thus, when limited and unreliable information is available about the current status of, or biomarker dynamics related to, an infection, the sequential procedure becomes an attractive estimation strategy, due to its ability to mitigate the initial bias.     

Estimating lead‐time bias in lung cancer diagnosis of patients with previous cancers

Surprisingly, survival from a diagnosis of lung cancer has been found to be longer for those who experienced a previous cancer than for those with no previous cancer. A possible explanation is lead‐time bias, which, by advancing the time of diagnosis, apparently extends survival among those with a previous cancer even when they enjoy no real clinical advantage. We propose a discrete parametric model to jointly describe survival in a no‐previous‐cancer group (where, by definition, lead‐time bias cannot exist) and in a previous‐cancer group (where lead‐time bias is possible). We model the lead time with a negative binomial distribution and the post–lead‐time survival with a linear spline on the logit hazard scale, which allows for survival to differ between groups even in the absence of bias; we denote our model Logit‐Spline/Negative Binomial. We fit Logit‐Spline/Negative Binomial to a propensity‐score matched subset of the Surveillance, Epidemiology, and End Results–Medicare linked data set, conducting sensitivity analyses to assess the effects of key assumptions. With lung cancer–specific death as the end point, the estimated mean lead time is roughly 11 months for stage I&II patients; with overall survival, it is roughly 3.4 months in stage I&II. For patients with higher‐stage lung cancers, the mean lead time is 1 month or less for both outcomes. Accounting for lead‐time bias reduces the survival advantage of the previous‐cancer group when one exists, but it does not nullify it in all cases.     

WHO's Service Availability and Readiness Assessment of primary health care services of commune health centers in a rural district of Northern Vietnam

The objective of this study was to assess the availability and readiness of the primary health care (PHC) services of commune health centers (CHCs) in Quoc Oai, a rural district of Northern Vietnam based on the World Health Organization's Service Availability and Readiness Assessment (SARA) tool. The study was done in 2 steps. First, the heads of the 21 CHCs of Quoc Oai district were interviewed using SARA, a quantitative survey, and the responses were then validated by direct observations of each facility. The results showed that although the average number of health staffs in each CHC met the national standards (at least 5 staffs per CHC), its allocation within each CHC was not properly met because some CHCs had only 2 health staffs. Several health equipment and facilities were not fully available in many CHCs, and although the majority of the PHC services were available at the CHCs, their readiness remained limited. Several significant correlates between the availability of health care workers and the availability of the facilities and the PHC services were observed, suggesting that they depend upon and affect one another in the health system. Using the SARA‐based inventory, the study helps health managers and policy makers to prioritize efforts and allocate resources more appropriately. To be effective, attention should be given to how to make facilities, services, and human resources for health ready for PHC activities—more investment and support from the system (from higher to lower level) and the government.     

Realistic Food-Based Approaches Alone May Not Ensure Dietary Adequacy for Women and Young Children in South-East Asia

Objectives Micronutrient deficiencies, in southeast Asia (SE Asia), remain a public health challenge. We evaluated whether promoting the consumption of locally available nutritious foods, which is a low-risk micronutrient intervention, alone can ensure dietary adequacy, for women of reproductive age and 6–23 m old children. Methods Representative dietary data from Cambodia, Indonesia, Lao PDR, Thailand and Vietnam were analysed using linear programming analysis to identify nutrients that are likely low in personal food environments (problem nutrients), and to formulate food-based recommendations (FBRs) for three to six target populations per country. Results The number of problem nutrients ranged from zero for 12–23 m olds in Indonesia, Thailand and Vietnam to six for pregnant women in Cambodia. The FBRs selected for each target population, if adopted, would ensure a low percentage of the population was at risk of inadequate intakes for five to ten micronutrients, depending on the country and target population. Of the 11 micronutrients modelled, requirements for iron, calcium and folate were most difficult to meet (≥ 10 of the 24 target populations), using FBRs alone. The number of individual FBRs selected per set, for each target population, ranged from three to eight; and often included meat, fish or eggs, liver/organ meats, vegetables and fruits. Conclusions for practice Intervention strategies need to increase access to nutritious foods, including products fortified with micronutrients, in SE Asia, when aiming to ensure dietary adequacy for most individuals in the population.

     

Erythromycin is more effective than metoclopramide in the treatment of feed intolerance in critical illness

OBJECTIVE: This study aimed to a) compare the efficacy of metoclopramide and erythromycin in the treatment of feed intolerance in critical illness; and b) determine the effectiveness of "rescue" combination therapy in patients who fail monotherapy. DESIGN: Randomized controlled trial. SETTING: Level III mixed medical and surgical intensive care unit. PATIENTS: Ninety mechanically ventilated, medical patients with feed-intolerance (gastric residual volume>or=250 mL). INTERVENTIONS: Patients received either metoclopramide 10 mg intravenously four times daily (n=45) or erythromycin 200 mg intravenously twice a day (n=45) in a double-blind, randomized fashion. After the first dose, nasogastric feeding was commenced and 6-hourly nasogastric aspirates were performed. If a gastric residual volume>or=250 mL recurred on treatment, open-label, combination therapy was given. Patients were studied for 7 days. Successful feeding was defined as 6-hourly gastric residual volume<250 mL with a feeding rate>or=40 mL/hr. MEASUREMENTS AND MAIN RESULTS: Demographic data, blood glucose levels, and use of inotropes, opioids, and benzodiazepines were similar between the two groups. After 24 hrs of treatment, both monotherapies reduced the mean gastric residual volume (metoclopramide, 830+/-32 mL to 435+/-30 mL, p<.0001; erythromycin, 798+/-33 mL to 201+/-19 mL, p<.0001) and improved the proportion of patients with successful feeding (metoclopramide=62% and erythromycin=87%). Treatment with erythromycin was more effective than metoclopramide, but the effectiveness of both treatments declined rapidly over time. In patients who failed monotherapy, rescue combination therapy was highly effective (day 1=92%) and maintained its effectiveness for the study duration (day 6=67%). High pretreatment gastric residual volume was associated with poor response to prokinetic therapy. CONCLUSIONS: In critical illness, erythromycin is more effective than metoclopramide in treating feed intolerance, but the rapid decline in effectiveness renders both treatments suboptimal. Rescue combination therapy is highly effective, and further study is required to examine its role as the first-line therapy.