| Literature DB >> 33335973 |
Kazimieras Maneikis1,2, Ugne Ringeleviciute1,2, Justinas Bacevicius2,3, Egle Dieninyte-Misiune2,4, Emilija Burokaite2,4, Gintare Kazbaraite2,4, Marta Monika Janusaite2,4, Austeja Dapkeviciute1,2, Andrius Zucenka1,2, Valdas Peceliunas1,2, Lina Kryzauskaite1,2, Vytautas Kasiulevicius2, Donata Ringaitiene2,5, Birute Zablockiene2,4, Tadas Zvirblis1, Germanas Marinskis2,3, Ligita Jancoriene2,4, Laimonas Griskevicius1,2.
Abstract
AIMS: To assess cardiac safety in COVID-19 patients treated with the combination of Hydroxychloroquine and Azithromycin using arrhythmia risk management plan. METHODS ANDEntities:
Keywords: Azithromycin; COVID-19; Hydroxychloroquine; QT interval
Year: 2020 PMID: 33335973 PMCID: PMC7734220 DOI: 10.1016/j.ijcha.2020.100685
Source DB: PubMed Journal: Int J Cardiol Heart Vasc ISSN: 2352-9067
Demographics of the COVID-19 patients.
| Parameter | Subgroup | Statistics | Total Cohort (N = 81) |
|---|---|---|---|
| Age | Median (min–max) | 59 (35 – 87) | |
| 18–44 | n (%) | 12 (14.8) | |
| 45–49 | n (%) | 12 (14.8) | |
| 50–59 | n (%) | 17 (21.0) | |
| 60–69 | n (%) | 20 (24.7) | |
| 70–79 | n (%) | 15 (18.5) | |
| n (%) | 5 (6.2) | ||
| Sex | Female | n (%) | 47 (58.0) |
| Male | n (%) | 34 (42.0) | |
| CIRS | Median (min–max) | 4 (0 – 15) | |
| Comorbidities | Cardiological +/- other | n (%) | 41 (50.6%) |
| Non-cardiological | n (%) | 26 (32.1%) | |
| None | n (%) | 14 (17.3%) | |
| Number of concomitant medications | Median (min–max) | 1 (0 – 4) | |
| None | n (%) | 38 (46.9) | |
| 1–2 | n (%) | 33 (40.8) | |
| 3–4 | n (%) | 10 (12.3) | |
| Antihypertensive medications | n (%) | 39 (48.1) | |
| Antidiabetic medications | n (%) | 11 (13.6) | |
| Antipsychotics | n (%) | 4 (4.9) | |
| Antidepressants | n (%) | 5 (6.2) | |
| Anticoagulants | n (%) | 13 (16.0) | |
| Antiaggregants | n (%) | 3 (3.7) | |
| Beta-mimetics | n (%) | 5 (6.2) |
Clinical data and laboratory findings of the COVID-19 patients.
| Parameter | Statistics | Total Cohort (N = 81) |
|---|---|---|
| Days from symptom onset to hospitalization | Median (min–max) | 7 (-1 – 42) |
| Days from symptom onset to treatment initiation | Median (min–max) | 7 (1 – 42) |
| Baseline NEWS score | Median (min–max) | 2 (0 – 13) |
| Need for low-flow oxygen on admission | n (%) | 34 (42.0) |
| Need for invasive ventilation on admission | n (%) | 2 (2.5) |
| Need for extracorporeal membrane oxygenation on admission | n (%) | 1 (1.3) |
| Radiologically confirmed pneumonia | n (%) | 80 (98.8) |
| Additional antibiotics prescribed | n (%) | 49 (60.5) |
| Baseline absolute lymphocyte count (109/L) | Median (min–max) | 1.14 (0.42–2.64) |
| Baseline CRP (mg/l) | Median (min–max) | 33 (0.34 – 249.4) |
| Baseline Ferritin (µg/l) (n = 69) | Median (min–max) | 356 (4.2–2678) |
| Baseline Interleukin-6 (ng/l) (n = 64) | Median (min–max) | 15.3 (2–124) |
| Any electrolyte imbalance | n (%) | 55 (67.9) |
| Ca2+ < 1.05 (mmol/l) | n (%) | 47 (58.0) |
| K+ < 3.5 (mmol/l) | n (%) | 11 (13.6) |
| Mg2+ < 0.65 (mmol/l) | n (%) | 5 (6.2) |
| Cough | n (%) | 68 (84.0) |
| Rhinitis | n (%) | 8 (9.9) |
| Diarrhea | n (%) | 11 (13.6) |
| Nausea/vomiting | n (%) | 3 (3.7) |
| Fever (>38 °C) | n (%) | 43 (53.1) |
| At least 1 drug | n (%) | 42 (51.9) |
| Known risk of TdP | n (%) | 13 (16.0) |
| Possible risk of TdP | n (%) | 8 (9.9) |
| Conditional risk of TdP | n (%) | 71 (87.7) |
These drugs prolong the QT interval and are clearly associated with a known risk of TdP, even when taken as recommended.
These drugs can cause QT prolongation but currently lack evidence for a risk of TdP when taken as recommended.
These drugs are associated with TdP but only under certain conditions of their use (e.g. excessive dose, in patients with conditions such as hypokalemia, or when taken with interacting drugs) or by creating conditions that facilitate or induce TdP (e.g. by inhibiting metabolism of a QT-prolonging drug or by causing an electrolyte disturbance that induces TdP).
Fig. 1Daily QTcF change in COVID-19 patients: a) daily QTcF and b) ΔQTcF distributions.
Patients with QTcF ≥ 480 ms.
| Age | Sex | CIRS | Comorbidities | CM prolonging QT | K+ < 3.5 mmol/l | First QTcF ≥ 480 ms | Day of first QTcF ≥ 480 ms | Cumulated HCQ/AZI dosage until first prolonged QTcF (mg) | Had QTcF ≥ 500 ms | HCQ/AZI discontinued | Ventricular tachycardia |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 s | F | 7 | Hypertension | No | Yes | 516 | 7 | 4000/1500 | Day 7 | Day 7 | No |
| 60 s | F | 8 | Hypertension; coronary heart disease; atrial fibrillation, obesity | Ranolazine | Yes | 498 | 1 | 0/0 | No | No | No |
| 80 s | F | 7 | Hypertension; coronary heart disease; atrial fibrillation | Omeprazole; Metoclopramide | No | 482 | 2 | 600/750 | No | No | No |
| 60 s | F | 6 | Diabetes mellitus; hypertension; coronary heart disease; atrial fibrillation; obesity | Metoclopramide | No | 487 | 3 | 1400/750 | No | Day 4 | No |
| 80 s | F | 6 | Diabetes mellitus; hypertension | Furosemide | No | 492 | 3 | 1200/750 | Day 5 | Day 5 | No |
| 70 s | F | 7 | Ovarian cancer; hypertension; coronary heart disease; atrial fibrillation | No | No | 486 | 1 | 0/0 | No | No | No |
| 60 s | M | 5 | Hypertension; coronary heart disease; obesity | Piperacillin-Tazobactam | Yes | 513 | 13 | 6000/1500 | Day 13 | No | No |
| 70 s | F | 15 | Chronic myeloid leukemia; diabetes mellitus; hypertension; coronary heart disease | Sertraline; Dasatinib, Metoclopramide; Omeprazole | No | 492 | 1 | 0/0 | Day 8 | Day 8 | No |
| 50 s | M | 15 | Renal cell carcinoma; diabetes mellitus; hypertension; coronary heart disease; chronic atrial fibrillation; chronic kidney disease | Piperacillin-Tazobactam; Furosemide; Quetiapine; Fluconazole; Propofol; Metoclopramide; Haloperidol; Esomeprazol | No | 483 | 10 | 6000/1500 | No | No | No |
| 50 s | M | 5 | Diabetes mellitus; hypertension; coronary heart disease; obesity | Amiodarone; Furosemide; Omeprazol; Propofol; Metoclopramide | Yes | 493 | 5 | 3000/1500 | No | No | No |
| 70 s | M | 6 | Prostate cancer; hypertension | Amiodarone; Haloperidol; Piperacillin-Tazobactam; Furosemide | No | 509 | 14 | 6000/1500 | Day 14 | No | No |
| 40 s | M | 0 | None | None | Yes | 480 | 2 | 1200/750 | No | No | No |
| 50 s | M | 4 | Hypertension | Furosemide; Propofol | No | 489 | 4 | 2400/1000 | Day 13 | No | No |
| 50 s | M | 8 | Diabetes mellitus; coronary heart disease; hypertension; obesity | Furosemide; Propofol | Yes | 496 | 4 | 2400/1000 | Day 6 | No | No |
Subject died on day 16 due to multiple organ failure.
F: Female, M: Male.
Logistic regression analysis of predictors for QTcF prolongation (≥480 ms) in COVID-19 patients.
| Parameters | Univariate model | Multivariate model | ||||
|---|---|---|---|---|---|---|
| Odds ratio | P-value | Odds ratio | P-value | |||
| Estimate | 95% CI | Estimate | 95% CI | |||
| Older age | 1.043 | 0.995–1.093 | 0.081 | ni | ||
| Male sex | 1.482 | 0.466–4.706 | 0.505 | ni | ||
| Higher baseline NEWS score | 1.323 | 1.047–1.672 | 0.019 | n-cs | ||
| Presence of cardiological comorbidity | 18.107 | 2.237–146.55 | 0.007 | 10.311 | 1.186–89.604 | 0.034 |
| Higher number of concomitant medications | 2.017 | 1.214–3.352 | 0.007 | ni | ||
| Presence of hypocalcemia during treatment | 0.675 | 0.212–2.144 | 0.505 | ni | ||
| Presence of hypomagnesemia during treatment | 3.556 | 0.536–23.593 | 0.189 | ni | ||
| Presence of hypokalemia during treatment | 9.300 | 2.301–37.588 | 0.002 | 8.116 | 1.718–38.347 | 0.008 |
| Use of diuretics during treatment | 6.814 | 1.968–23.587 | 0.002 | n-cs | ||
| Higher baseline QTcF | 1.030 | 1.005–1.055 | 0.017 | n-cs | ||
ni: not included. n-cs: non-clinically significant. CI: confidence interval.
Parameter was not included into multivariate analysis due to strong relation with subject’s comorbidities.
Fig. 2Forest plot of univariate and multivariate analysis for risk factors associated with QTcF interval prolongation ≥ 480 ms.