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Background Diabetes mellitus (DM) patients are three times more likely to develop tuberculosis (TB) than the general population. Active TB screening in people with DM is part of a bidirectional approach. The aim of this study was to conduct pragmatic active TB screening among DM patients in four countries to inform policy. Methods DM patients were recruited in Indonesia (n=809), Peru (n=600), Romania (n=603) and South Africa (n=51). TB cases were diagnosed using an algorithm including clinical symptoms and chest X-ray. Presumptive TB patients were examined with sputum smear and culture. Results A total of 171 (8.3%) individuals reported ever having had TB (South Africa, 26%; Indonesia, 12%; Peru, 7%; Romania, 4%), 15 of whom were already on TB treatment. Overall, 14 (0.73% [95% confidence interval 0.40 to 1.23]) TB cases were identified from screening. Poor glucose control, smoking, lower body mass index, education and socio-economic status were associated with newly diagnosed/current TB. Thirteen of the 14 TB cases diagnosed from this screening would have been found using a symptom-based approach. Conclusions These data support the World Health Organization recommendation for routine symptom-based screening for TB in known DM patients in high TB-burden countries. DM patients with any symptoms consistent with TB should be investigated and diagnostic tools should be easily accessible.

Background Accidental awareness during general anaesthesia (AAGA) is a complex and rare outcome to investigate in surgical patient populations, particularly obstetric patients. We report the protocol of the Direct Reporting of Awareness in Maternity patients (DREAMY) study, illustrating how the research was designed to address practical and methodological challenges for investigating AAGA in an obstetric cohort. Methods This is the trial protocol of a prospective, multicentre cohort study of patients undergoing obstetric surgery under general anaesthesia. Accidental awareness during general anaesthesia will be detected using three repetitions of standardised direct questioning over 30 days, with responses indicating memories during general anaesthesia verified using structured interviews. Reports will be adjudicated, then classified, in accordance with pre-defined and pre-validated structures, including the Michigan Awareness Classification tool. Quantitative data will be collected on general anaesthesia conduct for all participants. This descriptive study is being conducted in England and aims to recruit a minimum of 2015 patients. Results The DREAMY study was prospectively registered (ClinicalTrials.gov Identifier: NCT03100396) and ethical approval granted. Participant recruitment began in May 2017 and one year follow up concluded in August 2019. Publication of the results is anticipated in 2020. Conclusions The DREAMY study will provide data on incidence, experience and implications of AAGA for obstetric patients, using a robust methodology that will reliably detect and translate subjective AAGA reports into objective outcomes. In addition, the study is expected to improve vigilance for AAGA in participating hospitals and encourage adoption of recommendations for support of patients experiencing AAGA.

STUDY OBJECTIVES: We examined the validity of the STOP-Bang questionnaire and a modified STOP-Bang questionnaire to screen for obstructive sleep apnea (OSA) in women with obesity during the second trimester of pregnancy. METHODS: Ninety-nine pregnant women age 18 years or older with body mass index ≥ 40 kg/m(2) completed the STOP-Bang questionnaire during their second trimester. The number of oxygen desaturation events (≥ 4% from baseline) was measured using overnight pulse oximetry, with OSA defined as ≥ 5 events/h. A Modified STOP-Bang score was derived by replacing the “Tired” item with Epworth Sleepiness Scale score ≥ 10. Seven candidate models were compared using information theoretic criteria: STOP-Bang, Modified STOP-Bang, and individual STOP-Bang items (Snore, Tired, Observed to stop breathing, high blood Pressure and Neck circumference). We used penalized logistic regression and negative binomial regression to derive predicted probabilities of having OSA and the predicted total event counts. RESULTS: The predicted probability of meeting oximetry criteria for OSA increased with higher STOP-Bang scores, from < 10% for a score < 3 to 68% with a score of 6. The total number of disordered breathing events was 1.26 (95% confidence interval 1.06 to 1.50) times greater for a 1-unit increase in STOP-Bang. Of the candidate models, the best relative fit was the Snore item followed by STOP-Bang score (essentially equivalent). The predicted probability of having OSA was 5.0% for no snoring and 26.4% for snoring. CONCLUSIONS: STOP-Bang has been shown to be a useful screening tool for OSA in pregnant women with obesity; however, the snoring question alone might be a simpler, effective predictor. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Title: STOPBANG As A Screening Tool for Obstructive Sleep Apnoea in Pregnancy; URL: https://clinicaltrials.gov/ct2/show/NCT02542488; Identifier: NCT02542488 CITATION: Pearson F, Batterham AM, Cope S. The STOP-Bang questionnaire as a screening tool for obstructive sleep apnea in pregnancy. J Clin Sleep Med. 2019;15(5):705–710.

Physical activity (PA) levels are low in Gulf Cooperation Council countries (GCC; Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, United Arab Emirates). We carried out a systematic review (PROSPERO registration number 131817) to assess the effect of interventions to increase PA levels in this region. We also assessed their effects on anthropometry and cardiovascular risk. A systematic search of six databases (Medline, EMBASE, SPORTDiscus, CINAHL, Cochrane, Web of Science) was performed to identify randomized and non-randomized intervention studies performed in adults and children published between January 1985 and November 2020. We included studies published in English or Arabic, and included PA interventions regardless of setting, delivery, and duration. The primary outcomes were changes in PA duration and intensity. Secondary outcomes included anthropometric measures (e.g., weight, body mass index) and cardiovascular risk profiles (e.g., lipid measures, blood glucose). Two independent reviewers screened studies in accordance with pre-determined criteria, extracted data, assessed risk of bias (Cochrane Risk of Bias 2 and Newcastle Ottawa Scale) and undertook a narrative synthesis. From 13,026 records identified, 14 studies were included. Nine studies focussed exclusively on changing PA behaviour, resulting in statistically significant increases in step count ranging from an additional 757 steps/day (95% confidence interval [CI] 0–1,513) to 3,853 steps/day (95% CI 3,703–4,002). Five identified studies were multi-component lifestyle interventions, targeting people at higher risk (due to obesity or type 2 diabetes). Evidence for increases in PA from multi-component studies was limited, although improvements were seen in outcomes e.g. body weight and blood lipid levels. In conclusion, relatively few studies have focussed on changing PA behaviour, despite the urgent need in the GCC. Limited evidence suggested that pedometer-based programmes encouraging step counting and walking were effective in promoting PA, at least in the short term. Policies to roll out such interventions should be implemented and evaluated.

BackgroundDiabetes mellitus (DM) increases active tuberculosis (TB) risk and worsens TB outcomes, jeopardizing TB control especially in TB-endemic countries with rising DM prevalence rates. We assessed DM status and clinical correlates in TB patients across settings in Indonesia, Peru, Romania, and South Africa.MethodsAge-adjusted DM prevalence was estimated using laboratory glycated hemoglobin (HbA1c) or fasting plasma glucose in TB patients. Detailed and standardized sociodemographic, anthropometric, and clinical measurements were made. Characteristics of TB patients with or without DM were compared using multilevel mixed-effect regression models with robust standard errors.ResultsOf 2185 TB patients (median age 36.6 years, 61.2% male, 3.8% human immunodeficiency virus–infected), 12.5% (267/2128) had DM, one third of whom were newly diagnosed. Age-standardized DM prevalence ranged from 10.9% (South Africa) to 19.7% (Indonesia). Median HbA1c in TB–DM patients ranged from 7.4% (Romania) to 11.3% (Indonesia). Compared to those without DM, TB–DM patients were older and had a higher body mass index (BMI) (P value < .05). Compared to those with newly diagnosed DM, TB patients with diagnosed DM had higher BMI and HbA1c, less severe TB, and more frequent comorbidities, DM complications, and hypertension (P value < .05).ConclusionsWe show that DM prevalence and clinical characteristics of TB–DM vary across settings. Diabetes is primarily known but untreated, hyperglycemia is often severe, and many patients with TB–DM have significant cardiovascular disease risk and severe TB. This underlines the need to improve strategies for better clinical management of combined TB and DM.

Background In context of the rapidly expanding diabetes mellitus (DM) epidemic in India and slowly declining tuberculosis (TB) incidence, we aimed to estimate the past, current, and future impact of DM on TB epidemiology. Methods An age-structured TB-DM dynamical mathematical model was developed and analyzed to assess the DM-on-TB impact. The model was calibrated using a literature review and meta-analyses. The DM-on-TB impact was analyzed using population attributable fraction metrics. Sensitivity analyses were conducted by accommodating less conservative effect sizes for the TB-DM interactions, by factoring the age-dependence of the TB-DM association, and by assuming different TB disease incidence rate trajectories. Results In 1990, 11.4% (95% uncertainty interval (UI) = 6.3%-14.4%) of new TB disease incident cases were attributed to DM. This proportion increased to 21.9% (95% UI = 12.1%-26.4%) in 2017, and 33.3% (95% UI = 19.0%-44.1%) in 2050. Similarly, in 1990, 14.5% (95% UI = 9.5%-18.2%) of TB-related deaths were attributed to DM. This proportion increased to 28.9% (95% UI = 18.9%-34.1%) in 2017, and 42.8% (95% UI = 28.7%-53.1%) in 2050. The largest impacts originated from the effects of DM on TB disease progression and infectiousness. Sensitivity analyses suggested that the impact could be even greater. Conclusions The burgeoning DM epidemic is predicted to become a leading driver of TB disease incidence and mortality over the coming decades. By 2050, at least one-third of TB incidence and almost half of TB mortality in India will be attributed to DM. This is likely generalizable to other Asian Pacific countries with similar TB-DM burdens. Targeting the impact of the increasing DM burden on TB control is critical to achieving the goal of TB elimination by 2050.

BACKGROUND: Previous evidence synthesis has suggested diabetes mellitus (DM) worsens tuberculosis (TB) treatment outcomes. However, these reviews are limited by the number, robustness and conflicting results among the studies included. We conducted a systematic review to update earlier analyses and explore heterogeneity among studies.\ud \ud METHODS: MEDLINE, EMBASE, AIM, LILACS, IMEMR, IMSEAR and WPRIM were searched between 1 January 1980 and 23 July 2018 unrestricted by language or region. All cohort and case-control studies investigating the difference in TB treatment outcomes amongst TB-DM patients compared to those with TB alone were included. Two reviewers independently assessed titles, abstracts, and extracted data. Culture conversion at two/three months, all-cause mortality, treatment failure, relapse and multidrug-resistant TB (MDR-TB) were evaluated using random effects meta-analysis with generic inverse variance. Heterogeneity was explored using subgroup analyses and meta-regression.\ud \ud RESULTS: One hundred and four publications were identified. Sixty-four studies including 56 122 individuals with TB-DM and 243 035 with TB, reported on death. Some outcomes showed substantial heterogeneity between studies, which we could not fully explain, though confounding adjustment and country income level accounted for some of the differences. TB-DM patients had higher odds of death (OR 1.88, 95%CI 1.59–2.21) and relapse (OR 1.64, 95%CI 1.29–2.08) compared to TB patients. More limited evidence suggested TB-DM patients had double the risk of developing MDR-TB (OR 1.98, 95%CI 1.51–2.60).\ud \ud CONCLUSION: DM is associated with increased risks of poor TB treatment outcomes, particularly mortality, and may increase risk of developing primary MDR-TB. Cost-effectiveness of interventions to enhance TB-DM treatment should be assessed.

We aimed to develop a conceptual framework of diabetes mellitus (DM) effects on tuberculosis (TB) natural history and treatment outcomes, and to assess the impact of these effects on TB-transmission dynamics. The model was calibrated using TB data for India. A conceptual framework was developed based on a literature review, and then translated into a mathematical model to assess the impact of the DM-on-TB effects. The impact was analyzed using TB-disease incidence hazard ratio (HR) and population attributable fraction (PAF) measures. Evidence was identified for 10 plausible DM-on-TB effects. Assuming a flat change of 300% (meaning an effect size of 3.0) for each DM-on-TB effect, the HR ranged between 1.0 (Effect 9-Recovery) and 2.7 (Effect 2-Fast progression); most effects did not have an impact on the HR. Meanwhile, TB-disease incidence attributed directly and indirectly to each effect ranged between −4.6% (Effect 7-TB mortality) and 34.5% (Effect 2-Fast progression). The second largest impact was for Effect 6-Disease infectiousness at 29.9%. In conclusion, DM can affect TB-transmission dynamics in multiple ways, most of which are poorly characterized and difficult to assess in epidemiologic studies. The indirect (e.g. onward transmission) impacts of some DM-on-TB effects are comparable in scale to the direct impacts. While the impact of several effects on the HR was limited, the impact on the PAF was substantial suggesting that DM could be impacting TB epidemiology to a larger extent than previously thought.

Tuberculosis (TB) remains one of the 10 leading causes of death worldwide, especially in low- and middle-income countries. We conducted a systematic review and meta-analysis including 88 studies examining the association between diabetes mellitus (DM) and TB treatment outcomes. However, we found several common methodological problems among them, including inappropriate adjustments for confounding factors, not using optimal statistical methods for ‘time to event' data, misclassification in exposure (DM) and outcomes (TB treatment outcomes) due to study design and non-standardisation of definitions, misunderstanding of basic study design concept, standardisation of TB treatment outcomes and quality control of publications. Many of these problems would apply more broadly to other ‘risk factors' for poor TB treatment outcomes. These issues need to be addressed and resolved to improve the quality of the studies and provide more accurate results for policy makers in the future to tackle the burden of TB.

Contains fulltext : 196372.pdf (Publisher’s version ) (Closed access) OBJECTIVE: To describe the characteristics and management of Diabetes mellitus (DM) patients from low- and middle-income countries (LMIC). METHODS: We systematically characterised consecutive DM patients attending public health services in urban settings in Indonesia, Peru, Romania and South Africa, collecting data on DM treatment history, complications, drug treatment, obesity, HbA1c and cardiovascular risk profile; and assessing treatment gaps against relevant national guidelines. RESULTS: Patients (median 59 years, 62.9% female) mostly had type 2 diabetes (96%), half for >5 years (48.6%). Obesity (45.5%) and central obesity (females 84.8%; males 62.7%) were common. The median HbA1c was 8.7% (72 mmol/mol), ranging from 7.7% (61 mmol/mol; Peru) to 10.4% (90 mmol/mol; South Africa). Antidiabetes treatment included metformin (62.6%), insulin (37.8%), and other oral glucose-lowering drugs (34.8%). Disease complications included eyesight problems (50.4%), EGFR

To evaluate the performance of diagnostic tools for diabetes mellitus, including laboratory methods and clinical risk scores, in newly-diagnosed pulmonary tuberculosis patients from four middle-income countries.In a multicentre, prospective study, we recruited 2185 patients with pulmonary tuberculosis from sites in Indonesia, Peru, Romania and South Africa from January 2014 to September 2016. Using laboratory-measured glycated haemoglobin (HbA1c) as the gold standard, we measured the diagnostic accuracy of random plasma glucose, point-of-care HbA1c, fasting blood glucose, urine dipstick, published and newly derived diabetes mellitus risk scores and anthropometric measurements. We also analysed combinations of tests, including a two-step test using point-of-care HbA1cwhen initial random plasma glucose was ≥ 6.1 mmol/L.The overall crude prevalence of diabetes mellitus among newly diagnosed tuberculosis patients was 283/2185 (13.0%; 95% confidence interval, CI: 11.6-14.4). The marker with the best diagnostic accuracy was point-of-care HbA1c (area under receiver operating characteristic curve: 0.81; 95% CI: 0.75-0.86). A risk score derived using age, point-of-care HbA1c and random plasma glucose had the best overall diagnostic accuracy (area under curve: 0.85; 95% CI: 0.81-0.90). There was substantial heterogeneity between sites for all markers, but the two-step combination test performed well in Indonesia and Peru.Random plasma glucose followed by point-of-care HbA1c testing can accurately diagnose diabetes in tuberculosis patients, particularly those with substantial hyperglycaemia, while reducing the need for more expensive point-of-care HbA1c testing. Risk scores with or without biochemical data may be useful but require validation.Évaluer la performance des outils de diagnostic du diabète sucré, et notamment les méthodes de laboratoire et les cotes de risque clinique, chez les patients souffrant d'une tuberculose pulmonaire récemment diagnostiquée dans quatre pays à revenu intermédiaire.Dans le cadre d'une étude multicentrique et prospective, nous avons recruté 2185 patients atteints de tuberculose pulmonaire dans différents endroits en Afrique du Sud, en Indonésie, au Pérou et en Roumanie entre janvier 2014 et septembre 2016. En utilisant comme référence l'hémoglobine glyquée (HbA1c) mesurée en laboratoire, nous avons évalué la précision diagnostique de la glycémie aléatoire, de l'HbA1c sur le lieu d'intervention, de la glycémie à jeun, de la bandelette urinaire, des cotes de risque déjà publiées et récemment obtenues pour le diabète sucré et des mesures anthropométriques. Nous avons également analysé des combinaisons de tests, et notamment un test en deux étapes qui utilise l'HbA1c sur le lieu d'intervention lorsque la glycémie aléatoire initiale est ≥ 6,1 mmol/L.La prévalence brute générale du diabète sucré chez les patients souffrant d'une tuberculose récemment diagnostiquée était de 283/2185 (13,0%; intervalle de confiance, IC, à 95%: 11,6–14,4). Le marqueur fournissant la meilleure précision diagnostique était l'HbA1c sur le lieu d'intervention (aire sous la courbe ROC: 0,81; IC à 95%: 0,75–0,86). La meilleure précision diagnostique générale a été obtenue à l'aide d'une cote de risque calculée au moyen de l'âge, de l'HbA1c sur le lieu d'intervention et de la glycémie aléatoire (aire sous la courbe ROC: 0,85; IC à 95%: 0,81–0,90). Une forte hétérogénéité entre les différents endroits a été constatée pour tous les marqueurs, mais le test en deux étapes a donné de bons résultats en Indonésie et au Pérou.L'utilisation de la glycémie aléatoire suivie de l'HbA1c sur le lieu d'intervention permet de diagnostiquer avec précision le diabète chez les patients atteints de tuberculose, en particulier lorsqu'ils souffrent d'une importante hyperglycémie, tout en diminuant le besoin de tests HbA1c sur le lieu d'intervention, plus coûteux. Les cotes de risque associées ou non à des données biochimiques peuvent être utiles, mais doivent être validées.Evaluar el rendimiento de las herramientas de diagnóstico para la diabetes mellitus, incluidos los métodos de laboratorio y los índices de riesgo clínico, en pacientes recién diagnosticados con tuberculosis pulmonar de cuatro países de ingresos medios.En un estudio prospectivo multicéntrico, se seleccionaron 2185 pacientes con tuberculosis pulmonar de algunas regiones de Indonesia, Perú, Rumanía y Sudáfrica entre enero de 2014 y septiembre de 2016. Usando hemoglobina glicosilada medida en laboratorio (HbA1c) como el patrón de excelencia, se midió la precisión diagnóstica de glucosa plasmática al azar, estando HbA1c en el punto de atención, glucemia en sangre en ayunas, tira reactiva de orina, índices de riesgo de diabetes mellitus publicados recientemente y medidas antropométricas. También se analizaron combinaciones de pruebas, incluida una prueba de dos pasos con HbA1c en el punto de atención cuando la glucosa plasmática aleatoria inicial fue ≥ 6,1mmol/L.La prevalencia general cruda de diabetes mellitus entre los pacientes con tuberculosis recién diagnosticados fue de 283/2185 (13,0 %, intervalo de confianza del 95 %, IC: 11,6–14,4). El marcador con la mejor precisión diagnóstica fue la HbA1c en el punto de atención (área bajo la curva característica operativa del receptor: 0,81; IC del 95 %: 0,75–0,86). Un índice de riesgo derivado de la edad, la HbA1c en el punto de atención y la glucosa plasmática al azar obtuvieron la mejor precisión diagnóstica general (área bajo la curva: 0,85; IC del 95 %: 0,81–0,90). Hubo una heterogeneidad sustancial entre las regiones para todos los marcadores, pero la prueba combinada de dos pasos funcionó de manera correcta en Indonesia y Perú.La glucosa plasmática al azar seguida de la prueba de HbA1c en el punto de atención puede diagnosticar con precisión la diabetes en pacientes con tuberculosis, particularmente en aquellos con hiperglucemia sustancial, mientras se reduce la necesidad de pruebas más costosas de HbA1c en el punto de atención. Los índices de riesgo con o sin datos bioquímicos pueden ser útiles, pero requieren validación.تقييم أداء أدوات تشخيص مرض السكري، بما في ذلك الطرق المختبرية ودرجات المخاطر السريرية، لدى المرضى الذين تم تشخيص إصابتهم حديثاً بالسل الرئوي من أربعة بلدان متوسطة الدخل.في دراسة استباقية متعددة المراكز، قمنا بالاستعانة بـ 2185 مريضًا بمرض السل الرئوي من مواقع في إندونيسيا وبيرو وجنوب إفريقيا ورومانيا من يناير/كانون ثاني 2014 إلى سبتمبر/أيلول 2016. وعن طريق قياس الهيموغلوبين الغليكوزيلاتي في المختبر (HbA1c) كمعيار أساسي، قمنا بقياس مدى دقة تشخيص كل من جلوكوز البلازما العشوائي، واختبار HbA1c في أماكن الرعاية، وجلوكوز الدم أثناء الصيام، ومقياس البول، ودرجات المخاطر المنشورة والمستنبطة حديثا من داء السكري، والقياسات الأنثروبومترية. قمنا أيضا بتحليل مجموعات من الاختبارات، بما في ذلك اختبار من خطوتين باستخدام اختبار HbA1c في أماكن الرعاية عندما كان مستوى جلوكوز البلازما العشوائي أكبر من أو يساوي 6.1 مليمول/ لتر.كان معدل الانتشار الكلي لمرض السكري بين المرضى الذين تم تشخيص إصابتهم حديثًا بالسل هو 283/2185 (13.0%؛ بفاصل ثقة 95%، فاصل ثقة: 11.6 إلى 14.4).كانت العلامة ذات أفضل دقة تشخيصية هي اختبار HbA1c في أماكن الرعاية (المساحة تحت منحنى خاصية التشغيل للمستقبِل: 0.81؛ بفاصل ثقة 95%: 0.75 إلى 0.86). كانت درجة الخطر المشتقة باستخدام العمر، واختبار HbA1c في أماكن الرعاية، وجلوكوز البلازما العشوائي، هي أفضل دقة تشخيصية عامة (المساحة تحت المنحنى: 0.85؛ بفاصل ثقة 95%: 0.81 إلى 0.90). كانت هناك عدم تجانس واضح بين المواقع لكل العلامات، إلا أن الاختبار المكون من خطوتين قدم أداءً جيدًا في إندونيسيا وبيرو.يمكن لاختبار جلوكوز البلازما العشوائي، ويليه اختبار HbA1c في أماكن الرعاية، تشخيص مرض السكري بدقة في مرضى السل، وخاصة أولئك الذين يعانون من ارتفاع شديد في سكر الدم، مع تقليل الحاجة إلى اختبار HbA1c الأكثر تكلفة في أماكن الرعاية. قد تكون درجات الخطر مفيدة، سواء مع بيانات كيميائية حيوية أو بدونها، ولكنها تتطلب التحقق من الصحة.评估用于四个中等收入国家新诊断结核病患者的糖尿病诊断工具的表现，其中包括实验室方法和临床风险评分。.在这项多中心、前瞻性的研究中，自 2014 年 1 月起至 2016 年 9 月，我们从秘鲁、罗马尼亚、南非和印度尼西亚各地招募了 2185 名肺结核患者。使用实验室测量的糖化血红蛋白 (HbA1c) 为黄金标准，我们测量了随机血糖、糖化血红蛋白 (HbA1c) 床旁检测、空腹血糖、尿液常规检查、已发表的和新导出的糖尿病风险评分以及人体测量法的诊断准确度。我们还对组合检测法进行了分析，其中包括两步检测法：即在初始随机血糖为临界值 ≥6.1 mmol/L 时，进行糖化血红蛋白 (HbA1c) 床旁检测。.新诊断结核病患者中，糖尿病的整体患病率为 283/2185（13.0％；95％ 置信区间，CI：11.6–14.4）。最准确的诊断指标是糖化血红蛋白 (HbA1c) 床旁检测（受试者工作特征曲线下的区域：0.81；95％ 置信区间，CI：0.75-0.86）。使用年龄、糖化血红蛋白 (HbA1c) 床旁检测和随机血糖得出的风险评分整体诊断准确度最佳（受试者工作特征曲线下的区域：0.85；95％ 置信区间，CI：0.81-0.90）。不同地点的指标之间存在显著的异质性，但两步组合检测法在秘鲁和印度尼西亚表现良好。.在随机血糖检测后再进行糖化血红蛋白 (HbA1c) 床旁检测可以准确诊断结核病患者是否患有糖尿病（尤其针对患有严重高血糖的患者），同时减少对更为昂贵的糖化血红蛋白 (HbA1c) 床旁检测的需求。内附或未附生化指标的风险评分可能有用，但仍需验证。.Оценить эффективность инструментов диагностики сахарного диабета (включая лабораторные методы и показатели клинического риска) у пациентов с недавно диагностированным туберкулезом легких из четырех стран со средним уровнем доходов.С января 2014 года по сентябрь 2016 года авторы провели многоцентровое проспективное исследование, в котором приняли участие 2185 пациентов с туберкулезом легких, проживающих в Индонезии, Перу, Румынии и Южной Африке. Используя измеренный в лаборатории гликозилированный гемоглобин (HbA1c) в качестве общепринятого стандарта, авторы измерили диагностическую точность выборочного определения уровня глюкозы в плазме; уровня HbA1c, определяемого в месте предоставления медицинской помощи; уровня глюкозы в крови натощак и определения сахара в моче с помощью индикаторной полоски с учетом опубликованных и недавно полученных оценок риска заболевания сахарным диабетом и антропометрических измерений. Мы также проанализировали комбинации тестов, в том числе двухэтапный тест с использованием HbA1c, измеренного в месте предоставления медицинской помощи, при начальном случайном уровне глюкозы в плазме ≥ 6,1 ммоль/л.Общая распространенность сахарного диабета среди пациентов с недавно выявленным туберкулезом составила 283 случая на 2185 человек (13,0%, 95%-й доверительный интервал, ДИ: 11,6–14,4). Маркер с наибольшей диагностической точностью — HbA1c, измеренный в месте предоставления медицинской помощи (область под кривой ROC: 0,81; 95%-й ДИ: 0,75–0,86). Оценка риска в зависимости от возраста, HbA1c, измеренного в месте предоставления медицинской помощи, и выборочного определения глюкозы в плазме имела наилучшую общую диагностическую точность (область под кривой: 0,85; 95%-й ДИ: 0,81–0,90). В различных местах наблюдалась существенная гетерогенность всех маркеров, при этом двухступенчатый комбинированный тест дал хорошие показатели для Индонезии и Перу.Выборочно определяемый уровень глюкозы в плазме с последующим тестированием HbA1c в месте предоставления медицинской помощи может точно диагностировать диабет у пациентов с туберкулезом, особенно у пациентов с существенной гипергликемией, уменьшая необходимость в более дорогостоящем тестировании HbA1c в месте предоставления медицинской помощи. Оценки риска по данным биохимического анализа крови или без них могут быть полезными, но нуждаются в проверке.

The burgeoning epidemic of diabetes mellitus (DM) is one of the major global health challenges. We systematically reviewed the published literature to provide a summary estimate of the association between DM and active tuberculosis (TB). We searched Medline and EMBASE databases for studies reporting adjusted estimates on the TB-DM association published before December 22, 2015, with no restrictions on region and language. In the meta-analysis, adjusted estimates were pooled using a DerSimonian-Laird random-effects model, according to study design. Risk of bias assessment and sensitivity analyses were conducted. 44 eligible studies were included, which consisted of 58,468,404 subjects from 16 countries. Compared with non-DM patients, DM patients had 3.59-fold (95% confidence interval (CI) 2.25-5.73), 1.55-fold (95% CI 1.39-1.72), and 2.09-fold (95% CI 1.71-2.55) increased risk of active TB in four prospective, 16 retrospective, and 17 case-control studies, respectively. Country income level (3.16-fold in low/middle-vs. 1.73-fold in high-income countries), background TB incidence (2.05-fold in countries with >50 vs. 1.89-fold in countries with ≤50 TB cases per 100,000 person-year), and geographical region (2.44-fold in Asia vs. 1.71-fold in Europe and 1.73-fold in USA/Canada) affected appreciably the estimated association, but potential risk of bias, type of population (general versus clinical), and potential for duplicate data, did not. Microbiological ascertainment for TB (3.03-fold) and/or blood testing for DM (3.10-fold), as well as uncontrolled DM (3.30-fold), resulted in stronger estimated association. DM is associated with a two- to four-fold increased risk of active TB. The association was stronger when ascertainment was based on biological testing rather than medical records or self-report. The burgeoning DM epidemic could impact upon the achievements of the WHO "End TB Strategy" for reducing TB incidence.

Item does not contain fulltext Diabetes triples the risk for active tuberculosis, thus the increasing burden of type 2 diabetes will help to sustain the present tuberculosis epidemic. Recommendations have been made for bidirectional screening, but evidence is scarce about the performance of specific tuberculosis tests in individuals with diabetes, specific diabetes tests in patients with tuberculosis, and screening and preventive therapy for latent tuberculosis infections in individuals with diabetes. Clinical management of patients with both diseases can be difficult. Tuberculosis patients with diabetes have a lower concentration of tuberculosis drugs and a higher risk of drug toxicity than tuberculosis patients without diabetes. Good glycaemic control, which reduces long-term diabetes complications and could also improve tuberculosis treatment outcomes, is hampered by chronic inflammation, drug-drug interactions, suboptimum adherence to drug treatments, and other factors. Besides drug treatments for tuberculosis and diabetes, other interventions, such as education, intensive monitoring, and lifestyle interventions, might be needed, especially for patients with newly diagnosed diabetes or those who need insulin. From a health systems point of view, delivery of optimum care and integration of services for tuberculosis and diabetes is a huge challenge in many countries. Experience from the combined tuberculosis and HIV/AIDS epidemic could serve as an example, but more studies are needed that include economic assessments of recommended screening and systems to manage concurrent tuberculosis and diabetes.

Background Tuberculosis causes approximately 8.6 million disease episodes and 1.3 million deaths worldwide per year. Although curable with standardized treatment, outcomes for some forms of tuberculosis are improved with adjunctive corticosteroid therapy. Whether corticosteroid therapy would be beneficial in treating people with pulmonary tuberculosis is unclear. Objectives To evaluate whether adjunctive corticosteroid therapy reduces mortality, accelerates clinical recovery or accelerates microbiological recovery in people with pulmonary tuberculosis. Search methods We identified studies indexed from 1966 up to May 2014 by searching: Cochrane Infectious Diseases Group's trials register, Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE and LILACS using comparative search terms. We handsearched reference lists of all identified studies and previous reviews and contacted relevant researchers, organizations and companies to identify grey literature. Selection criteria Randomized controlled trials and quasi-randomized control trials of recognized antimicrobial combination regimens and corticosteroid therapy of any dose or duration compared with either no corticosteroid therapy or placebo in people with pulmonary tuberculosis were included. Data collection and analysis At least two investigators independently assessed trial quality and collected data using pre-specified data extraction forms. Findings were reported as narrative or within tables. If appropriate, Mantel-Haenszel meta-analyses models were used to calculate risk ratios. Main results We identified 18 trials, including 3816 participants, that met inclusion criteria. When compared to taking placebo or no steroid, corticosteroid use was not shown to to reduce all-cause mortality, or result in higher sputum conversion at 2 months or at 6 months (mortality: RR 0.77, 95%CI 0.51 to 1.15, 3815 participants, 18 studies, low quality evidence; sputum conversion at 2 months RR 1.03, 95%CI 0.97 to 1.09, 2750 participants, 12 studies; at 6 months; RR1.01, 95%CI 1.01, 95%CI 0.98 to 1.04, 2150 participants, 9 studies, both low quality evidence). However, corticosteroid use was found to increase weight gain (data not pooled, eight trials, 1203 participants, low quality evidence), decrease length of hospital stay (data not pooled, three trials, participants 379, very low quality of evidence) and increase clinical improvement within one month (RR 1.16, 95% CI 1.09 to 1.24; five trials, 497 participants, low quality evidence). Authors' conclusions It is unlikely that adjunctive corticosteroid treatment provides major benefits for people with pulmonary tuberculosis. Short term clinical benefits found did not appear to be maintained in the long term. However, evidence available to date is of low quality. In order to evaluate whether adjunctive corticosteroids reduce mortality, or accelerate clinical or microbiological recovery in people with pulmonary tuberculosis further large randomized control trials sufficiently powered to detect changes in such outcomes are needed.

Background Many studies have found an increased risk of pulmonary tuberculosis (PTB) amongst those with Diabetes Mellitus (DM), however, evidence on whether the association is specific to disease sub-types or is bi-directional remains sparse. This study assesses rates of TB, PTB and EPTB amongst those with DM, Type 1 DM (T1DM) and Type 2 DM (T2DM) comparative to those without. It also assesses the converse to investigate association bi-directionality. Methods Retrospective cohort analyses were completed using primary care data from The Health Improvement Network database (2003–2009). Individuals were classified as either exposed to or unexposed to TB, PTB, EPTB, DM, T1DM or T2DM. The incidence rate ratios (IRR) were calculated amongst each exposure group for outcomes of interest (TB, PTB, EPTB or DM, T1DM, T2DM) using negative binomial regression. Results TB risk was increased amongst individuals with any DM type (IRR 1.50 (95% CI 1.27–1.76) p Discussion Within a UK setting, TB risk was increased in those with DM as is DM risk amongst those who have had TB. We are not aware of other studies with sufficient power to assess the risk of DM among those with prior TB. Consideration of the specificity and directionality of these associations will be important in improving TB control and treatment as DM prevalence rises globally. Given the associations identified, it is likely the numbers of individuals suffering from co-morbid disease will burgeon with a need for heightened clinical attention to improve both diabetes control and TB outcomes.

BackgroundWhile current research priorities include investigations of age-related hearing loss, there are concerns regarding effects on childhood hearing, for example through increased personal headphone use. By utilising historical data, it is possible to assess what factors may have increased hearing problems in children in the past, and this may be used to inform current public health policies to protect children against hearing loss and in turn reduce the long-term burden on individuals and services that may possible evolve. The aim of this study was to investigate which factors in early life significantly impacted on hearing level in childhood using existing data from the Newcastle Thousand Families Study, a 1947 birth cohort.MethodsData on early life factors, including growth, socio-economic status and illness, and hearing at age 14 years were collated for a representative subset of individuals from the cohort (n = 147). Factors were assessed using linear regression analysis to identify associations with hearing thresholds.ResultsMales were found to have lower hearing thresholds at 250 Hz, 500 Hz and 1 kHz. Main analyses showed no associations between hearing thresholds and early life growth or socio-economic indicators. An increasing number of ear infections from birth to age 13 years was associated with hearing thresholds at 250Hz (p = 0.04) and 500Hz (p = 0.03), which remained true for females (p = 0.050), but not males (p = 0.213) in sex-specific analysis. Scarlet fever and bronchitis were associated with hearing thresholds at 8 kHz. After adjustment for all significant predictors at each frequency, results remained unchanged.ConclusionsWe found no associations between childhood hearing thresholds and early life growth and socio-economic status. Consistent with other studies, we found associations between childhood infections and hearing thresholds. Current public health strategies aimed at reducing childhood infections may also have a beneficial effect upon childhood hearing.