| Literature DB >> 27764178 |
Abdunoor M Kabanywanyi1, Rita Baiden2, Ali M Ali1, Muhidin K Mahende1, Bernhards R Ogutu2, Abraham Oduro3, Halidou Tinto4, Margaret Gyapong5, Ali Sie6, Esperanca Sevene7, Eusebio Macete7, Seth Owusu-Agyei8, Alex Adjei5, Guillaume Compaoré6, Innocent Valea4, Isaac Osei3, Abena Yawson8, Martin Adjuik2, Raymond Akparibo2, Mwaka A Kakolwa1, Salim Abdulla1, Fred Binka9.
Abstract
The antimalarial drug piperaquine is associated with delayed ventricular depolarization, causing prolonged QT interval (time taken for ventricular de-polarisation and re-polarisation). There is a lack of safety data regarding dihydroartemisinin/piperaquine (DHA/PPQ) for the treatment of uncomplicated malaria, which has limited its use. We created a platform where electrocardiograms (ECG) were performed in public hospitals for the safety assessment of DHA/PPQ, at baseline before the use of dihydroartemisinin/piperaquine (Eurartesim®), and on day 3 (before and after administration of the final dose) and day 7 post-administration. Laboratory analyses included haematology and clinical chemistry. The main objective of the ECG assessment in this study was to evaluate the effect of administration of DHA/PPQ on QTc intervals and the association of QTc intervals with changes in blood biochemistry, full and differential blood count over time after the DHA/PPQ administration. A total of 1315 patients gave consent and were enrolled of which 1147 (87%) had complete information for analyses. Of the enrolled patients 488 (42%), 323 (28%), 213 (19%) and 123 (11%) were from Ghana, Burkina Faso, Tanzania and Mozambique, respectively. Median (lower-upper quartile) age was 8 (5-14) years and a quarter of the patients were children under five years of age (n = 287). Changes in blood biochemistry, full and differential blood count were temporal which remained within clinical thresholds and did not require any intervention. The mean QTcF values were significantly higher than on day 1 when measured on day 3 before and after administration of the treatment as well as on day 7, four days after completion of treatment (12, 22 and 4 higher, p < 0.001). In all age groups the values of QT, QTcF and QTcB were highest on day 3 after drug intake. The mean extreme QTcF prolongation from baseline was lowest on day 3 before drug intake (33 ms, SD = 19) and highest on day 3 after the last dose (60 ms, SD = 31). There were 79 (7%) events of extreme mean QTcF prolongation which were not clinically significant. Nearly a half of them (n = 37) were grade 3 and mainly among males (33/37). Patients in Burkina Faso, Mozambique and Tanzania had significantly lower mean QTcF than patients in Ghana by an average of 3, 4 and 11 ms, respectively. We found no evidence that Eurartesim® administered in therapeutic doses in patients with uncomplicated malaria and no predisposing cardiac conditions in Africa was associated with adverse clinically significant QTc prolongation.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27764178 PMCID: PMC5072600 DOI: 10.1371/journal.pone.0164851
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Products that are known to prolong the QTc interval.
| Group | Type of medicinal product |
|---|---|
| Amiodarone, disopyramide, dofetilide, ibutilide, procainamide, quinidine, hydroquinidine, sotalol | |
| Phenothiazines, sertindole, sultopride, chlorpromazine, haloperidol, mesoridazine, pimozide, or thioridazine), antidepressive agents | |
| Macrolides (e.g. erythromycin, clarithromycin) Fluoroquinolones (e.g. moxifloxacin, sparfloxacin), Imidazole and triazole antifungal agents pentamidine and saquinavir | |
| Terfenadine, astemizole, mizolastine. | |
| Mefloquine, halofantrine, lumefantrine, chloroquine, quinine and other aminoquinoline agents | |
| Cisapride, droperidol, domperidone, bepridil, diphemanil, probucol, levomethadyl, methadone, vinca alkaloids, arsenic trioxide |
Fig 1Patients’ flow.
Clinical and demographic background of study participants.
Data presented are Median and Interquartile Range (IQR) for each measurement.
| Attributes | Age group | ||||
|---|---|---|---|---|---|
| 6 months—5 years | 5—< 12 years | 12—< 18 years | 18+ years | Total | |
| 287 (25.0%) | 507 (44.2%) | 143 (12.5%) | 210 (18.3%) | 1147 | |
| 3.5 (1.6) | 7.6 (3.1) | 13.9 (2.0) | 30.1 (24.8) | 8.1 | |
| 12.9 (4) | 20.9 (7.3) | 40 (15.0) | 59.0 (14.0) | 21.4 (25.0) | |
| 93 (12.0) | 121 (19) | 151 (18.0) | 162.0 (11.5) | 124.0 (44.0) | |
| 9.4 (2.1) | 10.6 (1.7) | 11.6 (1.7) | 12.2 (2.1) | 10.7 (2.3) | |
*number of participants and percentage of total cohort by age group
** Median (IQR) for cohort.
Background and laboratory parameters.
| Parameter | Normal values | p-value | |||
|---|---|---|---|---|---|
| 12.1 (12.4) | 6.3 (5.2) | 7.3 (5.6) | <25.7 | < 0.001 | |
| 28.8 (19.9) | 23.7 (14.7) | 25.3 (14.7) | Feb-60 | < 0.001 | |
| 29.7 (18.4) | 26.0 (16.4) | 27 (15.9) | 15–55 | < 0.001 | |
| 31.9 (16.7) | 29.9 (15.9) | 29.0 (13.3) | 20–62 | < 0.001 | |
| 3.2 (2.3) | 2.6 (1.9) | 2.5 (1.7) | 1.7–8.3 | < 0.001 | |
| 4.1 (0.9) | 4.1 (1.1) | 4.4 (0.8) | 3.5–5.6 | < 0.001 | |
| 102.5 (10.9) | 104.0 (9.9) | 104.5 (8.2) | 96–105 | < 0.001 | |
| 12.5 (14.2) | 5.7 (5.4) | 6.2 (5.0) | <25.7 | < 0.001 | |
| 24.3 (13.5) | 22.0 (13.4) | 23.0 (13.6) | Feb-60 | < 0.001 | |
| 26.5 (160) | 24.8 (13.7) | 25.0 (13.1) | 15–55 | < 0.001 | |
| 41.0 (21.1) | 40.1 (21.7) | 39.6 (19.5) | 55–97 | < 0.001 | |
| 3.9 (3.5) | 3.3 (3.1) | 3.3 (2.9) | 1.7–8.3 | < 0.001 | |
| 4.1 (0.7) | 4.1 (0.7) | 4.3 (0.6) | 3.5–5.6 | < 0.001 | |
| 103 (8.8) | 103.7 (8.4) | 103 (7.8) | 96–105 | 0.0073 | |
| 15.4 (16.4) | 7.3 (5.9) | 7.6 (6.3) | <25.7 | < 0.001 | |
| 22.0 (15.2) | 22.2(12.6) | 23.3 (12.7) | Feb-60 | 0.7524 | |
| 23.7 (13.4) | 23.5 (14.1) | 23.5 (12.6) | 15–55 | 0.6303 | |
| 55.5 (24.7) | 58.7 (28.1) | 53.0 (29.1) | 55–97 | 0.0013 | |
| 4.2 (5.6) | 3.9 (4.0) | 3.1 (3.0) | 1.7–8.3 | < 0.001 | |
| 4.1 (0.7) | 4.1 (0.7) | 4.3 (0.6) | 3.5–5.6 | < 0.001 | |
| 101 (9.2) | 102.4 (9.5) | 102.5 (7.3) | 96–105 | 0.002 | |
| 14.0 (15.3) | 8.0 (7.4) | 9.1 (7.0) | <25.7 | < 0.001 | |
| 22.9 (17.8) | 22.5 (17.2) | 23.3 (18.0) | Feb-60 | 0.1931 | |
| 22.8 (15.1) | 24.0 (15.2) | 23.7 (13.5) | 15–55 | 0.6815 | |
| 71.3 (33.7) | 73.2 (33.6) | 72.6 (30.2) | 55–97 | 0.1315 | |
| 3.8 (3.9) | 4.0 (3.4) | 3.8 (3.2) | 1.7–8.3 | 0.3926 | |
| 4.1 (0.8) | 4.1 (0.7) | 4.3 (0.8) | 3.5–5.6 | < 0.001 | |
| 101.0 (12.5) | 103 (9.4) | 103 (9.7) | 96–105 | 0.1057 | |
* Values in Median (interquartile range),
The Skillings–Mack statistic p-value comparing median value for each parameter over days.
Fig 2Mean QTcF over time by sex.
Fig 3Mean QTcF over time by age groups.
Fig 4Mean QTcF by age groups over days.
Electrocardiogram readings.
| Parameter | Day 1 | Day 3 before | Day 3 after | Day 7 | p-value |
|---|---|---|---|---|---|
| 480 (91) | 538 (101) | 535 (95) | 528 (104) | < 0.001 | |
| 126 (23) | 112 (21) | 113 (21) | 113 (21) | < 0.001 | |
| 72 (6) | 72 (7) | 73 (7) | 72 (6) | < 0.001 | |
| 301 (39) | 322 (32) | 325 (38) | 315 (33) | < 0.001 | |
| 385 (31) | 397 (25)≠ | 400 (27)≠ | 387 (26) | < 0.001 | |
| 434 (25) | 440 (23)≠ | 445 (25)≠ | 430 (26) | < 0.001 | |
| 571 (143) | 660 (148) | 668 (135) | 646 (131) | < 0.001 | |
| 105 (26) | 91 (20) | 90 (19) | 92 (19) | < 0.001 | |
| 77 (8) | 78 (8) | 78 (8) | 77 (7) | < 0.001 | |
| 333 (46) | 357 (39)≠ | 365 (46)≠ | 346 (35) | < 0.001 | |
| 394 (29) | 407 (26)≠ | 417 (29)≠ | 398 (23) | < 0.001 | |
| 431 (26) | 437 (28)≠ | 445 (29)≠ | 429 (24) | < 0.001 | |
| 648 (175) | 758 (182) | 764 (158) | 743 (155) | < 0.001 | |
| 93 (25) | 79 (19) | 78 (16) | 80 (17) | < 0.001 | |
| 84 (11) | 85 (10) | 85 (10) | 83 (11) | < 0.001 | |
| 348 (48) | 377 (38)≠ | 393 (43)≠ | 369 (33) | < 0.001 | |
| 399 (26) | 412 (23)≠ | 430 (28)≠ | 405 (25) | < 0.001 | |
| 428 (20) | 433 (29)≠ | 449 (31)≠ | 426 (30) | < 0.001 | |
| 729 (213) | 801 (219) | 836 (176) | 811 (202) | < 0.001 | |
| 82 (22) | 75 (19) | 71 (16) | 73 (17) | < 0.001 | |
| 87 (11) | 88 (12) | 89 (10) | 88 (10) | 0.0056 | |
| 365 (47) | 390 (44)≠ | 400 (43)≠ | 380 (38) | < 0.001 | |
| 403 (27) | 412 (35)≠ | 422 (36)≠ | 409 (28) | < 0.001 | |
| 426 (26) | 427 (29)≠ | 435 (33)≠ | 425 (30) | < 0.001 | |
* Values in Median (interquartile range),
The Skillings–Mack statistic p-value comparing median value for each parameter over days.
Country-wise parameter estimates from linear mixed model.
| Parameter | ALL | Ghana | Burkina Faso | Mozambique | Tanzania | |
|---|---|---|---|---|---|---|
| Estimate (SE) | 95% CI | Estimate (SE) | Estimate (SE) | Estimate (SE) | Estimate (SE) | |
| 386.4 (1.6) | 383.3, 389.6 | 388.2 (2.3) | 388.8 (2.8) | 370.4 (13.2) | 377.0 (3.6) | |
| 12.6 (1.3) | 10.1, 15.0 | 13.8 (1.8) | 10.9 (2.1) | 22.2 (13.1) | 11.4 (3.3) | |
| 20.0 (1.8) | 16.5, 23.5 | 23.4 (2.6) | 19.7 (4.2) | 27.9 (13.7) | 18.6 (4.3) | |
| 19.2 (1.8) | 15.8, 22.7 | 23.3 (2.8) | 25.5 (4.1) | 32.2 (14.3) | 7.3 (3.7) | |
| -2.5 (1.2) | -5.0, -0.1 | - | - | - | - | |
| -3.8 (1.7) | -7.1, -0.5 | - | - | - | - | |
| -10.8 (1.5) | -13.7, -7.9 | - | - | - | - | |
| 12.0 (0.7) | 10.6, 13.4 | 14.2 (0.9) | 4.9 (1.1) | 24.7 (2.6) | 11.0 (2.0) | |
| 22.1 (0.7) | 20.7, 23.5 | 27.5 (0.9) | 11.9 (1.1) | 44.2 (2.6) | 12.5 (2.0) | |
| 3.7 (0.7) | 2.3, 5.1 | 3.5 (0.9) | 1.5 (1.1) | 11.2 (2.7) | 3.4 (2.1) | |
| -0.2 (0.0) | -0.2, -0.1 | -0.2 (0.0) | -0.2 (0.1) | -0.1 (0.1) | -0.0 (0.1) | |
| 0.0 (0.0) | 0, 0.1 | -0.1 (0.0) | 0.1 (0.1) | -0.2 (0.2) | 0.1 (0.0) | |
** P-value < 0.001,
* p-value < 0.05,
‡ borderline significant.
Age category based parameter estimates from linear mixed model.
| Parameter | 6 months—< 5 years | 5—< 12 years | 12—< 18 years | 18+ years | ||||
|---|---|---|---|---|---|---|---|---|
| Estimate (SE) | 95% CI | Estimate (SE) | 95% CI | Estimate (SE) | 95% CI | Estimate (SE) | 95% CI | |
| 380.4 (3.1) | 374.4; 386.4 | 396.2 (2.6) | 391.2; 401.2 | 406.3 (4) | 398.5; 414.1 | 409.8 (4.2) | 401.6; 417.9 | |
| -1.4 (2) | -5.4; 2.6 | -4.2 (1.9) | -7.9; -0.5 | -3.9 (4) | -11.8; 3.9 | 4.8 (3.2) | -1.5; 11 | |
| -8.7 (11.1) | -30.4; 13.1 | -2.7 (2.3) | -7.1; 1.8 | -7.2 (3.4) | -13.9; -0.5 | -3.1 (4.1) | -11.1; 4.9 | |
| -9.9 (3.1) | -16; -3.9 | -8.6 (2.3) | -13.2; -4.1 | -8.8 (3.4) | -15.4; -2.1 | -15.8 (3.4) | -22.4; -9.2 | |
| 11.1 (1.4) | 8.3; 13.9 | 13.9 (1.1) | 11.8; 16 | 14.1 (1.9) | 10.4; 17.9 | 7.3 (1.5) | 4.4; 10.3 | |
| 18.6 (1.4) | 15.8; 21.4 | 24.5 (1.1) | 22.4; 26.6 | 28.6 (1.9) | 24.9; 32.4 | 16.6 (1.5) | 13.6; 19.6 | |
| 3.2 (1.5) | 0.3; 6 | 4.1 (1.1) | 1.9; 6.3 | 5.8 (2) | 2; 9.7 | 1.9 (1.5) | -1.1; 4.9 | |
| 5.1 (1.8) | 1.6; 8.6 | 1.7 (1.4) | -1.2; 4.5 | -0.9 (2.5) | -5.8; 4 | -12.6 (2.8) | -18.1; -7 | |
| -0.2 (0.1) | -0.3; 0 | -0.2 (0) | -0.3; -0.1 | -0.2 (0.1) | -0.3; 0 | 0 (0.1) | -0.2; 0.2 | |
| 0.2 (0.1) | 0; 0.3 | 0.1 (0) | 0; 0.1 | 0 (0) | -0.1; 0.1 | 0 (0) | 0; 0.1 | |
** P-value < 0.001,
* p-value < 0.05.
QTcF extreme prolongation from baseline to Day 3 and Day 7.
| Attribute | Mean (SD) increase from baseline | Events n (%) | Grade 1 | Grade 2 | Grade 3 |
|---|---|---|---|---|---|
| 33.4 (18.9) | 15 (1.3) | 7 (0.6) | 5 (0.4) | 3 (0.3) | |
| 31.4 (18.9) | 13 (2.4) | 7 (1.3) | 4 (0.7) | 2 (0.4) | |
| 46.2 (17.7) | 2 (0.3) | 0 | 1 (0.2) | 1 (0.2) | |
| - | 0 | 0 | 0 | 0 | |
| 34.8 (18.0) | 6 (1.2) | 2 (0.4) | 3 (0.6) | 1 (0.2) | |
| 41.3 (19.2) | 6 (4.2) | 2 (1.4) | 2 (1.4) | 2 (1.4) | |
| 14.8 (7.5) | 3 (1.4) | 3 (1.4) | 0 | 0 | |
| 59.9 (31.1) | 58 (5.1) | 7 (0.6) | 14 (1.2) | 37 (3.2) | |
| 61.6 (32.3) | 50 (9.1) | 5 (0.9) | 12 (2.2) | 33 (6.0) | |
| 49.3 (21.4) | 8 (1.3) | 2 (0.3) | 2 (0.3) | 4 (0.7) | |
| 66.0 (13.8) | 6 (2.1) | 0 | 1 (0.4) | 5 (1.7) | |
| 64.0 (35.7) | 30 (5.9) | 3 (0.6) | 8 (1.6) | 19 (3.8) | |
| 56.1 (28.2) | 15 (10.5) | 1 (0.7) | 4 (2.8) | 10 (7.0) | |
| 45.6 (24.9) | 7 (3.3) | 3 (1.4) | 1 (0.5) | 3 (1.4) | |
| 46.9 (27.8) | 6 (0.5) | 1 (0.1) | 3 (0.3) | 2 (0.2) | |
| 40.0 (25.4) | 5 (0.9) | 1 (0.2) | 3 (0.5) | 1 (0.2) | |
| 79.7 (0) | 1 (0.5) | 0 | 0 | 1 (0.2) | |
| 43.3 (0) | 1 (0.4) | 0 | 1 (0.4) | 0 | |
| 51.6 (20.9) | 3 (0.5) | 0 | 2 (0.4) | 1 (0.2) | |
| - | 0 | 0 | 0 | 0 | |
| 41.8 (27.8) | 2 (1.0) | 1 (0.5) | 0 | 1 (0.5) | |
* Only one subject had prolonged QTcF (therefore SD not calculated).