Associate Professor John Hall

© 2015 Rifat et al. Background: Bangladesh is one of the 27 high burden countries for multidrug resistant tuberculosis listed by the World Health Organization. Delay in multidrug resistant tuberculosis treatment may allow progression of the disease and affect the attempts to curb transmission of drug resistant tuberculosis. The main objective of this study was to investigate the health system delay in multidrug resistant tuberculosis treatment in Bangladesh and to explore the factors related to the delay. Methods: Information related to the delay was collected as part of a previously conducted case-control study. The current study restricts analysis to patients with multidrug resistant tuberculosis who were diagnosed using rapid diagnostic methods (Xpert MTB/RIF or the line probe assay). Information was collected by face-to-face interviews and through record reviews from all three Government hospitals providing multidrug resistant tuberculosis services, from September 2012 to April 2013. Multivariable regression analysis was performed using Bootstrap variance estimators. Definitions were as follows: Provider delay: time between visiting a provider for first consultation on MDR-TB related symptom to visiting a designated diagnostic centre for testing; Diagnostic delay: time from date of diagnostic sample provided to date of result; Treatment initiation delay: time between the date of diagnosis and date of treatment initiation; Health system delay: time between visiting a provider to start of treatment. Health system delay was derived by adding provider delay, diagnostic delay and treatment initiation delay. Results: The 207 multidrug resistant tuberculosis patients experienced a health system delay of median 7.1 weeks. The health system delay consists of provider delay (median 4 weeks), diagnostic delay (median 5 days) and treatment initiation delay (median 10 days). Health system delay (Coefficient: 37.7; 95 %; CI 15.0-60.4; p 0.003) was associated with the visit to private practitioners for first consultation. Conclusions: Diagnosis time for multidrug resistant tuberculosis was fast using the rapid tests. However, some degree of delay was present in treatment initiation, after diagnosis. The most effective way to reduce health system delay would be through strategies such as engaging private practitioners in multidrug resistant tuberculosis control.

© Chinwong et al. 2015.Background: Acute coronary syndrome (ACS) patients are at very high cardiovascular risk and tend to have recurrent cardiovascular events. The clinical indicators for subsequent cardiovascular events are limited and need further investigation. This study aimed to explore clinical indicators that were associated with recurrent cardiovascular events following index hospitalization. Methods: The data of patients hospitalized with ACS at a tertiary care hospital in northern Thailand between January 2009 and December 2012 were retrospectively reviewed from medical charts and the electronic hospital database. The patients were classified into three groups based on the frequency of recurrent cardiovascular events (nonfatal ACS, nonfatal stroke, or all-cause death) they suffered: no recurrent events (0), single recurrent event (1), and multiple recurrent events (=2). Ordinal logistic regression was performed to explore the clinical indicators for recurrent cardiovascular events. Results: A total of 405 patients were included; 60 % were male; the average age was 64.9 ± 11.5 years; 40 % underwent coronary revascularization during admission. Overall, 359 (88.6 %) had no recurrent events, 36 (8.9 %) had a single recurrent event, and 10 (2.5 %) had multiple recurrent events. The significant clinical indicators associated with recurrent cardiovascular events were achieving an LDL-C goal of < 70 mg/dL (Adjusted OR = 0.43; 95 % CI = 0.27-0.69, p-value < 0.001), undergoing revascularization during admission (Adjusted OR = 0.44; 95 % CI = 0.24-0.81, p-value = 0.009), being male (Adjusted OR = 1.85; 95 % CI = 1.29-2.66, p-value = 0.001), and decrease estimated glomerular filtration rate (Adjusted OR = 2.46; 95 % CI = 2.21-2.75, p-value < 0.001). Conclusion: The routine clinical practice indicators assessed in ACS patients that were associated with recurrent cardiovascular events were that achieving the LDL-C goal and revascularization are protective factors, while being male and having decreased estimated glomerular filtration rate are risk factors for recurrent cardiovascular events. These clinical indicators should be used for routinely monitoring patients to prevent recurrent cardiovascular events in ACS patients.

© 2015 Xu et al.Background/Objectives: Few studies have applied the Chinese Diet Balance Index (DBI) in evaluating dietary quality for Chinese people. The present cross-sectional study assessed dietary quality based on DBI for older people, and the associated factors, in four socioeconomically distinct regions in China. Methods: The China Health and Nutrition Survey (CHNS) involves 2745 older Chinese people, aged 60 or over, from four regions (Northeast, East Coast, Central and West) in 2009. Dietary data were obtained by interviews using 24 hour-recall over three consecutive days. Four indicators: Total Score (TS), Lower Bound Score (LBS), Higher Bound Score (HBS) and Diet Quality Distance (DQD) from DBI were calculated for assessing dietary quality in different aspects. Results: 68.9% of older people had different levels of excessive cereals intake. More than 50% of older people had moderate or severe surplus of oil (64.9%) and salt (58.6%). Intake of vegetables and fruit, milk and soybeans, water, and dietary variety were insufficient, especially for milk and soybeans. 80.8%of people had moderate or severe unbalanced diet consumption. The largest differences of DQD scores have been found for people with different education levels and urbanicity levels. People with higher education levels have lower DQD scores (p<0.001), and people living in medium and low urbanicity areas had 2.8 and 8.9 higher DQD scores than their high urbanicity counterparts (p<0.001). Also, significant differences of DQD scores have been found according to gender, marital status, work status and regions (p<0.001). Conclusion: DBI can reveal problems of dietary quality for older Chinese people. Rectifying unbalanced diet intake may lead to prevention of non-communicable diseases (NCDs). Dieticians and health care professionals need to increase dissemination and uptake of nutrition education, with interventions targeted at regions of lower socioeconomic status.

Copyright © 2014 The Authors.Little is known about the macronutrient intake status of older Chinese people. The present study evaluated the macronutrient intake status of older Chinese people (aged =A 60 years), investigated whether they had intake levels that met the Dietary Reference Intakes (DRI), and explored the associations between macronutrient intakes and age groups, sex, education levels, work status, BMI groups, urbanicity levels and four socio-economic regions of China (Northeast, East Coast, Central and Western). Dietary intake data of 2746 older Chinese with complete dietary intake data in the Longitudinal China Health and Nutrition Survey (2009 wave) carried out across four diverse regions were analysed. Dietary intake data were obtained by interviews using 24A h recalls over three consecutive days. The MUFA:SFA ratios were calculated based on the Chinese Food Composition Table. Less than one-third of the older Chinese people included in the present study had intake levels meeting the adequate intake for carbohydrate-energy and fat-energy; less than one-fifth had intake levels meeting the recommended nutrient intake for protein-energy; and more than half of the older people had fat-energy intakes higher than the DRI. There were strong associations between the proportions of energy from the three macronutrients and education levels, urbanicity levels and the four socio-economic regions of China, with older people living in the East Coast region having different patterns of macronutrient-energy intakes when compared with those living in the other three regions. Macronutrient intakes across different urbanicity levels in the four regions revealed considerable geographical variations in dietary patterns, which will affect the risk factors for non-communicable diseases. Clinical interventions and public health policies should recognise these regional differences in dietary patterns.

© 2015, BMJ. All rights reserved.Objectives: To identify common factors associated with post-neonatal, infant, child and under-5 mortality in Nigeria. Design, setting and participants: A cross-sectional data of three Nigeria Demographic and Health Surveys (NDHS) for the years 2003, 2008 and 2013 were used. A multistage, stratified, cluster random sampling method was used to gather information on 63 844 singleton live-born infants of the most recent birth of a mother within a 5-year period before each survey was examined using cox regression models. Main outcome measures: Postneonatal mortality (death between 1 and 11 months), infant mortality (death between birth and 11 months), child mortality (death between 12 and 59 months) and under-5 mortality (death between birth and 59 months). Results: Multivariable analyses indicated that children born to mothers with no formal education was significantly associated with mortality across all four age ranges (adjusted HR=1.30, 95% CI 1.01 to 1.66 for postneonatal; HR=1.38, 95% CI 1.11 to 1.84 for infant; HR=2.13, 95% CI 1.56 to 2.89 for child; HR=1.19, 95% CI 1.02 to 1.41 for under-5). Other significant factors included living in rural areas (HR=1.48, 95% CI 1.16 to 1.89 for postneonatal; HR=1.23, 95% CI 1.03 to 1.47 for infant; HR=1.52, 95% CI 1.16 to 1.99 for child; HR=1.29, 95% CI 1.11 to 1.50 for under-5), and poor households (HR=2.47, 95% CI 1.76 to 3.47 for postneonatal; HR=1.40, 95% CI 1.10 to 1.78 for infant; HR=1.72, 95% CI 1.19 to 2.49 for child; HR=1.43, 95% CI 1.17 to 1.76 for under-5). Conclusions: This study found that no formal education, poor households and living in rural areas increased the risk of postneonatal, infant, child and under-5 mortality among Nigerian children. Community-based interventions for reducing under-5 deaths are needed and should target children born to mothers of low socioeconomic status.

Background: Nigeria continues to have one of the highest rates of neonatal deaths in Africa. This study aimed to identify risk factors associated with neonatal death in Nigeria using the 2008 Nigeria Demographic and Health Survey (NDHS). Methods. Neonatal deaths of all singleton live-born infants between 2003 and 2008 were extracted from the 2008 NDHS. The 2008 NDHS was a multi-stage cluster sample survey of 36,298 households. Of these households, survival information of 27,147 singleton live-borns was obtained, including 996 cases of neonatal mortality. The risk of death was adjusted for confounders relating to individual, household, and community level factors using Cox regression. Results: Multivariable analyses indicated that a higher birth order of newborns with a short birth interval = 2 years (hazard ratio [HR] = 2.19, confidence interval [CI]: 1.68-2.84) and newborns with a higher birth order with a longer birth interval > 2 years (HR = 1.36, CI: 1.05-1.78) were significantly associated with neonatal mortality. Other significant factors that affected neonatal deaths included neonates born to mothers younger than 20 years (HR = 4.07, CI: 2.83-5.86), neonates born to mothers residing in rural areas compared with urban residents (HR = 1.26, CI: 1.03-1.55), male neonates (HR = 1.30, CI: 1.12-1.53), mothers who perceived their neonate's body size to be smaller than the average size (HR = 2.10, CI: 1.77-2.50), and mothers who delivered their neonates by caesarean section (HR = 2.80, CI: 1.84-4.25). Conclusions: Our study suggests that the Nigerian government needs to invest more in the healthcare system to ensure quality care for women and newborns. Community-based intervention is also required and should focus on child spacing, childbearing at a younger age, and poverty eradication programs, particularly in rural areas, to reduce avoidable neonatal deaths in Nigeria. © 2014 Ezeh et al.; licensee BioMed Central Ltd.