Diabetes characteristics and long-term management needs in diabetic TB patients.

BACKGROUND: Diabetes mellitus (DM) is common among patients with TB. We assessed DM characteristics and long-term needs of DM-TB patients after completing TB treatment.METHODS: Newly diagnosed TB patients with DM were recruited for screening in a randomised clinical trial evaluating a simple algorithm to improve glycaemic control during TB treatment. DM characteristics, lifestyle and medication were compared before and after TB treatment and 6 months later. Risk of cardiovascular disease (CVD), albuminuria and neuropathy were assessed after TB treatment.RESULTS: Of 218 TB-DM patients identified, 170 (78%) were followed up. Half were males, the mean age was 53 years, 26.5% were newly diagnosed DM. High glycated haemoglobin at TB diagnosis (median 11.2%) decreased during TB treatment (to 7.4% with intensified management and 8.4% with standard care), but this effect was lost 6 months later (9.3%). Hypertension and dyslipidemia contributed to a high 10-year CVD risk (32.9% at month 6 and 35.5% at month 12). Neuropathy (33.8%) and albuminuria (61.3%) were common. After TB treatment, few patients used CVD-mitigating drugs.CONCLUSION: DM in TB-DM patients is characterised by poor glycaemic control, high CVD risk, and nephropathy. TB treatment provides opportunities for better DM management, but effort is needed to improve long-term care.

Educational counselling of patients with combined TB and diabetes mellitus: a randomised trial.

SETTING: Newly diagnosed pulmonary TB with diabetes mellitus (DM) comorbidity attending clinics in Bandung City, Indonesia. OBJECTIVE: To describe the effect of educational counselling on patients' knowledge about TB (transmission, treatment, risk factors) and DM (symptoms, treatment, complications, healthy lifestyle), adherence to medication, and to assess characteristics associated with knowledge. DESIGN: All patients received counselling and were then randomised to either structured education on TB-DM, combined with clinical monitoring and medication adjustment (intervention arm), or routine care (control arm). Knowledge and adherence were assessed using a questionnaire. RESULTS: Baseline and 6-month questionnaires were available for 108 of 150 patients randomised (60/76 in the intervention arm and 48/74 in the control arm). Patients knew less about DM than about TB. There was no significant difference in the proportion with knowledge improvement at 6 months, both for TB (difference of differences 14%; P = 0.20) or for DM (10%; P = 0.39) between arms. Intervention arm patients were more likely to adhere to taking DM medication, with fewer patients reporting ever missing oral DM drugs than those in the control arm (23% vs. 48%; P = 0.03). Higher education level was associated with good knowledge of both TB and DM. CONCLUSIONS: Structured education did not clearly improve patients' knowledge. It was associated with better adherence to DM medication, but this could not be attributed to education alone. More efforts are needed to improve patients' knowledge, especially regarding DM.

CONTEXTE: Patients atteints de diabète sucré (DM) ayant récemment reçu un diagnostic de TB pulmonaire consultant dans les cliniques de la ville de Bandung, Indonésie. OBJECTIF: Décrire l'effet de conseils éducatifs sur les connaissances des patients en matière de TB (transmission, traitement, facteurs de risque), de DM (symptômes, traitement, complications, mode de vie sain) et d'observance thérapeutique, et évaluer les caractéristiques associées à ces connaissances. MÉTHODE: Tous les patients ont reçu des conseils et ont ensuite été randomisés dans l'un des deux groupes suivants : programme d'éducation structuré sur la TB-DM associé à un suivi clinique et à un ajustement thérapeutique (groupe d'intervention) ou prise en charge de routine (groupe témoin). Les connaissances et l'observance ont été évaluées par questionnaire. RÉSULTATS: Les questionnaires administrés à l'inclusion et à 6 mois étaient disponibles pour 108 des 150 patients randomisés (60/76 dans le groupe d'intervention et 48/74 dans le groupe témoin). Les connaissances des patients étaient moins bonnes sur le DM que sur la TB. Aucune différence significative n'a été observée entre les groupes dans la proportion de patients dont les connaissances s'étaient améliorées à 6 mois, tant pour la TB (différence des différences 14% ; P = 0,20) que pour le DM (10% ; P = 0,39). Les patients du groupe d'intervention étaient plus susceptibles d'observer correctement leur traitement antidiabétique. Moins de patients ont en effet rapporté avoir manqué une dose de leur traitement antidiabétique oral par rapport au groupe témoin (23% vs. 48% ; P = 0,03). Un niveau d'éducation plus élevé a été associé à de bonnes connaissances sur la TB et le DM. CONCLUSIONS: Le programme d'éducation structuré n'a pas amélioré de manière évidente les connaissances des patients. Ce programme a été associé à une meilleure observance du traitement antidiabétique, mais cela n'a pas pu être attribué au seul programme d'éducation. Davantage d'efforts sont nécessaires pour améliorer les connaissances des patients, notamment sur le DM.

Computer-assisted chest radiography reading for tuberculosis screening in people living with diabetes mellitus.

BACKGROUND: Diabetes mellitus is a significant risk factor for tuberculosis (TB). We evaluated the performance of computer-aided detection for tuberculosis (CAD4TB) in people living with diabetes mellitus (PLWD) in Indonesia. METHODS: PLWD underwent symptom screening and chest X-ray (CXR); sputum was examined in those with positive symptoms and/or CXR. Digital CXRs were scored using CAD4TB and analysed retrospectively using clinical and microbiological diagnosis as a reference. The area under the receiver operator curve (AUC) of CAD4TB scores was determined, and an optimal threshold score established. Agreement between CAD4TB and the radiologist's reading was determined. RESULTS: Among 346 included PLWD, seven (2.0%) had microbiologically confirmed and two (0.6%) had clinically diagnosed TB. The highest agreement of CAD4TB with radiologist reading was achieved using a threshold score of 70 (κ = 0.41, P < 0.001). The AUC for CAD4TB was 0.89 (95%CI 0.73-1.00). A threshold score of 65 for CAD4TB resulted in a sensitivity, specificity, positive predictive value and negative predictive value of respectively 88.9% (95%CI 51.8-99.7), 88.5% (95%CI 84.6-91.7), 17.0% (95%CI 7.6-30.8) and 99.6% (95%CI 98.2-100). With this threshold, 48 (13.9%) individuals needed microbiological examination and no microbiologically confirmed cases were missed. CONCLUSIONS: CAD4TB has potential as a triage tool for TB screening in PLWD, thereby significantly reducing the need for microbiological examination.