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      Decentralised ECG monitoring for drug-resistant TB patients in ambulatory settings

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          Dear Editor, Managing drug-resistant TB (DR-TB) poses substantial challenges to patients and health systems globally. 1 The emergence of new TB drugs such as bedaquiline, pretomanid and delamanid, and the repurposing of fluoroquinolones, clofazimine and linezolid, has marked significant progress in developing shorter, safer and more tolerable regimens for DR-TB. 2 However, it is important to acknowledge that the use of bedaquiline, delamanid, fluoroquinolones and clofazimine come with the potential risk of fatal arrhythmias associated with QT prolongation. 3–7 To address this concern, electrocardiogram (ECG) monitoring is crucial throughout treatment, which is integrated into active drug safety monitoring and management (aDSM). 4–8 Unfortunately, access to ECG is often centralised, requiring patients to travel long distances, thereby introducing practical and logistical challenges. Kazakhstan, a high-burden TB country, 9 has introduced new treatment regimens to enhance the management of DR-TB. 9 The delivery of TB services is distributed across TB dispensaries, primary healthcare facilities and TB hospitals. To note, DR-TB treatment is initiated in TB hospitals, after which treatment monitoring (including ECG) continues on an ambulatory basis. 10,11 In this context, the KardiaMobile 6L (KM6L; Alivecor, Mountain View, California, USA), which serves as a point-of-care tool for ECG, may have specific advantages for populations facing challenges in accessing healthcare facilities. The KM6L device is equipped with three electrodes for recording a clinical-grade 6-lead ECG and transmits data wirelessly to a smartphone or tablet. Food & Drug Administration clearance validates its ability to detect atrial fibrillation, bradycardia, tachycardia, sinus rhythm with premature ventricular contractions, sinus rhythm with wide QRS, and sinus rhythm with supraventricular ectopy. 12–14 Additionally, it has been approved for monitoring QT prolongation, making it relevant for patients undergoing TB treatment with potentially cardiotoxic drugs. 15 To assess the feasibility and acceptability of integrating KM6L into ambulatory settings for QT prolongation monitoring, we conducted a study involving adult DR-TB patients receiving QT-prolonging drugs. The study involved a questionnaire-based survey administered before and after the intervention with KM6L. Patients undergoing DR-TB treatment with QT-prolonging drugs were screened by doctors at the National Scientific Centre of Phthisiopulmonology, Almaty, Republic of Kazakhstan, using inclusion criteria (above 18 years). Those meeting the eligibility criteria were provided with study information and signed informed consent forms. The study was approved by Kazakh National Tuberculosis Programme (NTP). Participants underwent training on the use of KM6L and software. Initial ECG recordings were performed under the supervision of healthcare workers (HCWs). Each participant received a KM6L and a smartphone or tablet with internet access for the study duration, ranging from 3 to 6 months. The study aimed to enrol 100 participants, each of whom, along with the HCWs, completed a baseline questionnaire before using KM6L, as well as a post-test questionnaire. Four data collection instruments were utilised: a screening form, a baseline questionnaire, an endline questionnaire and a HCW questionnaire. All forms were administered in the Russian language using digital Google Form (Google, Mountain View, CA, USA) formats. The screening form captured demographics, details of the TB/DR-TB treatment administered (specifically QT-prolonging drugs), screening for TB symptoms, blood electrolyte levels (K+ and Mg++), ECG (QTcF grade) and concomitant medications. This form was completed during the screening stage to assess patient eligibility. On enrolment, HCWs administered the baseline questionnaire, focused on patients' experiences with conventional 12-lead ECG. The questionnaire captured time taken for the ECG procedure, associated expenses, the need to travel to a HCF solely for ECG, the patient's comfort and pain levels, irritability and anxiety. After use of KM6L to record ECG, participants completed the endline questionnaire, capturing the location of the ECG procedure (home vs. healthcare facility), assessment of the ease, comfort and expectations associated with KM6L use, acceptability of using KM6L at home and challenges encountered during ECG recording and data transfer. HCWs experiences of KM6L were captured through a self-administered questionnaire during home visits, which registered occupation, place of work, the number of ECGs performed daily and the time spent on conventional and KM6L ECG recording. Also, HCWs rated KM6L on a 5-point Likert scale for ease of use, comfort and expectations in ambulatory settings. The responses in CSV format were analysed using Stata v17.0 (Stata, College Station, TX, USA). Descriptive analysis included frequency calculations for qualitative data and medians with interquartile ranges for continuous quantitative data. The 5-point Likert scale questions were analysed using mean and standard deviation. From a total of 124 candidates, 81 accepted and provided written consent; 64.2% of the participants were male, with a median age of 36 years (interquartile range [IQR] 26–47). All 81 participants completed the baseline questionnaire, and 69 completed the endline questionnaire after using KM6L (Table Part A). To note, 79% of patients used the KM6L at home, spending a median time of 4 min on the ECG procedure. We observed 100% compliance with the scheduled ECG monitoring in ambulatory settings, indicating a high level of acceptance and adherence. Both patients and HCWs reported positive impacts associated with the use of KM6L. Patients appreciated the reduced time and travel expenses as they no longer needed to travel to and from healthcare facilities solely for ECG (Table Part B). This made the monitoring process more streamlined but also positively influenced patient comfort and overall satisfaction. However, the ECG data were not used for clinical management, but as an indication as to whether to invite a patient to the healthcare facility for further assessment. This innovative approach of monitoring QT prolongation promotes a people-centred approach and addresses logistical challenges associated with traditional ECG. The technology facilitates ECG recordings as frequently as necessary, potentially allowing for the early detection of cardiotoxicity. Affordability and minimal running costs enhance the attractiveness of KM6L for remote monitoring. Additionally, the study revealed that individuals with no experience in using smart devices were able to independently use innovative technology to routinely monitor their own safety from the comfort of their homes. This finding underscores the feasibility and acceptability of incorporating digital health technologies into DR-TB care. Table. Participant characteristics and experience of using ECG procedures. A) Participant characteristics (n = 81). Characteristic n (%) Age, years, median [IQR] 36 [26–47] Age group, years  <24 13 (16.1)  25–34 26 (32.1)  35–44 13 (16.1)  45–54 18 (22.2)  >55 11 (13.6) Male sex 52 (64.2) Previous DS-TB treatment history 12 (14.8) Previous DR-TB treatment history 8 (9.9) B) Patients with experience with ECG procedure prior to start using KM6L: baseline characteristics (n = 81). Characteristic n (%) Time spent on the ECG procedure at the HCFs, min, median [IQR] 10 [10–15] Time spent on travel to and from the HCF, min, median [IQR] 40 [30–60] Total time spent on the ECG procedure in the HCF, including travel and waiting time, min, median [IQR] 90 [60–120] Expenses for travel to and from HCF, USD, median [IQR] 1.15 [0.37–3.45] Those who experienced expenses related to travel to and from the HCF 56 (69.1) Those who visited HCF for ECG procedure only 14 (17.3) Frequency of ECG procedure in HCF  At least once a month 29 (35.8)  Less than once per month 44 (54.3)  Unknown 8 (9.9) Those who considered ECG procedure in HCF comfortable 74 (91.6) Experience with ECG using KM6L (the 5-point Likert scale questions) (n = 69), mean ± SD  Considered KM6L easy to use from easy (1) to difficult (5) 1.65 ± 1.19  Convenience of using the KM6L device compared to a conventional ECG from uncomfortable (1) to comfortable (5) 4.49 ± 0.98  The device met expectations compared to a conventional ECG from no (1) to yes (5) 4.47 ± 0.99  Overall KM6L satisfaction from low (1) to high (5) 4.52 ± 0.88 IQR = interquartile range; DS-TB = drug-susceptible TB; DR-TB = drug-resistant TB; ECG = electrocardiogram; HCF = healthcare facility; SD = standard deviation; USD = US dollar. The results of this study contribute valuable insights to the global knowledge and experience of using digital technologies in DR-TB care. The positive outcomes support the potential rollout of KM6L in Kazakhstan and beyond, offering a promising avenue for improving patient-centred care. However, certain limitations should also be considered. KM6L was not registered in Kazakhstan, posing regulatory challenges for its implementation. The small sample size may limit the ability to identify statistically significant associations between issues related to KM6L usage and its combination with other technologies. The study did not explore the impact of patients coming to the healthcare facility for other investigations. A combined study is recommended to assess its overall impact on improving care in ambulatory settings. In conclusion, our study demonstrates the feasibility and acceptability of integrating KM6L into ambulatory settings for monitoring QT prolongation in DR-TB patients. The positive feedback from patients and HCWs, coupled with the observed benefits in terms of reduced time and travel expenses, supports the potential incorporation of KM6L into DR-TB care in Kazakhstan and other settings.

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          Most cited references15

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          Cardiac safety of bedaquiline: a systematic and critical analysis of the evidence

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            Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device

            Background: Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetics including congenital long QT syndrome (LQTS), and/or systemic diseases including SARS-CoV-2-mediated COVID19, can predispose to ventricular arrhythmias and sudden cardiac death. Currently, QTc assessment and monitoring relies largely on 12-lead electrocardiography. As such, we sought to train and validate an artificial intelligence (AI)-enabled 12-lead electrocardiogram (ECG) algorithm to determine the QTc, and then prospectively test this algorithm on tracings acquired from a mobile ECG (mECG) device in a population enriched for repolarization abnormalities. Methods: Using over 1.6 million 12-lead ECGs from 538,200 patients, a deep neural network (DNN) was derived (n = 250,767 patients for training and n = 107,920 patients for testing) and validated (n = 179,513 patients) to predict the QTc using cardiologist over-read QTc values as the gold standard. The ability of this DNN to detect clinically-relevant QTc prolongation (e.g. QTc ≥ 500 ms) was then tested prospectively on 686 genetic heart disease (GHD) patients (50% with LQTS) with QTc values obtained from both a 12-lead ECG and a prototype mECG device equivalent to the commercially-available AliveCor KardiaMobile 6L. Results: In the validation sample, strong agreement was observed between human over-read and DNN-predicted QTc values (-1.76 ± 23.14 ms). Similarly, within the prospective, GHD-enriched dataset, the difference between DNN-predicted QTc values derived from mECG tracings and those annotated from 12-lead ECGs by a QT expert (-0.45 ± 24.73 ms) and a commercial core ECG laboratory [+10.52 ms ± 25.64 ms] was nominal. When applied to mECG tracings, the DNN's ability to detect a QTc value ≥ 500 ms yielded an area under the curve, sensitivity, and specificity of 0.97, 80.0%, and 94.4%, respectively. Conclusions: Using smartphone-enabled electrodes, an AI-DNN can predict accurately the QTc of a standard 12-lead ECG. QTc estimation from an AI-enabled mECG device may provide a cost-effective means of screening for both acquired and congenital LQTS in a variety of clinical settings where standard 12-lead electrocardiography is not accessible or cost-effective.
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              Drug-Induced QT Prolongation And Torsades de Pointes.

              Torsades de pointes (TdP)-an uncommon but life-threatening polymorphic ventricular tachycardia-is almost always drug induced. The authors describe the causes, risk factors, symptoms, diagnosis, and treatment of TdP.
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                Author and article information

                Journal
                IJTLD Open
                IJTLD Open
                ijtld open
                IJTLD OPEN
                International Union Against Tuberculosis and Lung Disease
                3005-7590
                April 2024
                1 April 2024
                : 1
                : 4
                : 192-194
                Affiliations
                [ 1 ]KNCV Tuberculosis Foundation, The Hague, The Netherlands;
                [ 2 ]KNCV Kazakhstan, Almaty,
                [ 3 ]National Scientific Centre of Phthisiopulmonology, Almaty, Republic of Kazakhstan.
                Author notes
                Correspondence to: Mansa Mbenga, TB Elimination and Health Systems Innovations, KNCV Tuberculosefonds, Den Haag 2501 CC, The Netherlands. email: mansa.mbenga@ 123456kncvtbc.org , mansaevich@ 123456gmail.com
                Article
                ijtldopen.23.0623 0623
                10.5588/ijtldopen.23.0623
                11231827
                b58eefe8-d7e6-4835-9776-5881fb8acbf9
                © 2024 The Authors

                This is an open access article published by The Union under the terms of the Creative Commons Attribution License CC-BY.

                History
                : 27 December 2023
                : 16 February 2024
                Categories
                Letter

                drug-resistant tb,ecg device,safety monitoring
                drug-resistant tb, ecg device, safety monitoring

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