| Literature DB >> 33653803 |
Daniel A Zlotoff1, Malek Z O Hassan2, Amna Zafar2, Raza M Alvi2, Magid Awadalla2, Syed S Mahmood3, Lili Zhang4, Carol L Chen5, Stephane Ederhy6, Ana Barac7, Dahlia Banerji2, Maeve Jones-O'Connor1, Sean P Murphy1, Merna Armanious8, Brian J Forrestal7, Michael C Kirchberger9, Otavio R Coelho-Filho10, Muhammad A Rizvi11, Gagan Sahni12, Anant Mandawat13, Carlo G Tocchetti14, Sarah Hartmann2, Hannah K Gilman2, Eduardo Zatarain-Nicolás15, Michael Mahmoudi16, Dipti Gupta5, Ryan Sullivan17, Sarju Ganatra18, Eric H Yang19, Lucie M Heinzerling20, Franck Thuny21, Leyre Zubiri17, Kerry L Reynolds17, Justine V Cohen22, Alexander R Lyon23, John Groarke24, Paaladinesh Thavendiranathan25, Anju Nohria24, Michael G Fradley8, Tomas G Neilan26,2.
Abstract
BACKGROUND: Myocarditis is a highly morbid complication of immune checkpoint inhibitor (ICI) use that remains inadequately characterized. The QRS duration and the QTc interval are standardized electrocardiographic measures that are prolonged in other cardiac conditions; however, there are no data on their utility in ICI myocarditis.Entities:
Keywords: autoimmunity; immune tolerance; immunotherapy; inflammation; self tolerance
Mesh:
Substances:
Year: 2021 PMID: 33653803 PMCID: PMC7929895 DOI: 10.1136/jitc-2020-002007
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Baseline characteristics
| Characteristic | Controls, n (%) | Myocarditis, n (%) | P value |
| Age at ICI Initiation | 64.1±13.9 | 65.9±14.7 | 0.02 |
| Sex | |||
| Male | 118 (65.9) | 99 (70.7) | 0.40 |
| Female | 61 (34.1) | 41 (29.3) | 0.40 |
| Body mass index, kg/m2 | 25.8±5.8 | 27.8±6.1 | 0.002 |
| Cardiovascular risk factors and disease | |||
| Hypertension | 109 (60.9) | 81 (57.9) | 0.65 |
| Diabetes mellitus | 29 (16.2) | 31 (22.1) | 0.20 |
| CKD | 29 (16.2) | 9 (8.5)* | 0.07 |
| COPD | 26 (14.5) | 19 (17.6)* | 0.51 |
| Coronary artery disease | 23 (12.8) | 20 (14.3) | 0.74 |
| Stroke | 20 (11.2) | 7 (5.0) | 0.07 |
| Heart failure | 12 (6.7) | 8 (5.7) | 0.82 |
| Pre-ICI cardiovascular medications | |||
| Statin | 45 (25.1) | 45 (32.1) | 0.17 |
| Aspirin | 43 (24.0) | 33 (23.6) | 1.00 |
| Beta-blocker | 56 (31.3) | 33 (23.6) | 0.13 |
| ACE-I or ARB | 34 (19.0) | 37 (26.4) | 0.14 |
| CCB | 31 (17.3) | 16 (11.4) | 0.15 |
| Primary cancer type | |||
| Melanoma | 86 (48.0) | 57 (40.7) | 0.21 |
| Non-small cell lung cancer | 36 (20.1) | 24 (17.1) | 0.56 |
| Head and neck | 13 (7.3) | 6 (4.3) | 0.34 |
| Small cell lung cancer | 7 (3.9) | 1 (0.7) | 0.08 |
| Renal cell carcinoma | 4 (2.2) | 12 (8.6) | 0.02 |
| Hodgkin’s lymphoma | 2 (1.1) | 2 (1.4) | 1.00 |
| Glioblastoma | 2 (1.1) | 2 (1.4) | 1.00 |
| Other | 29 (16.2) | 36 (25.7) | 0.05 |
| ICI type (monotherapy or combination) | |||
| Nivolumab | 100 (55.9) | 67 (47.9) | 0.18 |
| Pembrolizumab | 72 (40.2) | 55 (39.3) | 0.91 |
| Ipilimumab | 65 (36.3) | 49 (35.0) | 0.82 |
| Atezolizumab | 3 (1.7) | 10 (7.1) | 0.02 |
| Durvalumab | 1 (0.6) | 3 (2.1) | 0.32 |
| Tremelimumab | 1 (0.6) | 4 (2.9) | 0.17 |
| Avelumab | 0 (0.0) | 3 (2.1) | 0.08 |
| Any anti-PD-1 | 172 (96.1) | 122 (87.1) | 0.005 |
| Any anti-CTLA-4 | 66 (36.9) | 53 (37.9) | 0.91 |
| Any anti-PD-L1 | 4 (2.2) | 16 (11.4) | 0.001 |
| Type of combined ICI | |||
| Ipilimumab+nivolumab | 20 (11.2) | 36 (25.7) | 0.001 |
| Ipilimumab+pembrolizumab | 0 (0.0) | 2 (1.4) | 0.19 |
| Tremelimumab+avelumab | 0 (0.0) | 1 (0.7) | 0.44 |
| Tremelimumab+durvalumab | 0 (0.0) | 2 (1.4) | 0.19 |
| Other adverse events | |||
| None | 108 (60.3) | 64 (45.7) | 0.01 |
| Colitis | 24 (13.4) | 13 (9.3) | 0.29 |
| Pneumonitis | 22 (12.3) | 34 (24.3) | 0.007 |
| Pituitary/adrenal axis disorder | 13 (7.3) | 7 (5.0) | 0.49 |
| Hepatitis | 10 (5.6) | 16 (11.4) | 0.07 |
| Dermatitis | 5 (2.8) | 10 (7.1) | 0.11 |
| Neurological | 4 (2.2) | 12 (8.6) | 0.02 |
| Other | 6 (3.4) | 7 (5.0) | 0.57 |
| Prior cancer therapies | |||
| Anthracycline chemotherapy | 3 (1.7) | 8 (5.7) | 0.07 |
| VEGF inhibitor | 7 (3.9) | 1 (0.7) | 0.08 |
Values are n (%) or mean±SD (for age and BMI only).
*Certain patients with incomplete data were not included in analysis for some variables in the myocarditis group; percentages were derived from lower denominators in these rows (106 for CKD and 108 for COPD).
ACE-I, Angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; BMI, body mass index; CCB, calcium channel blocker; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; ICI, immune checkpoint inhibitor; PD-1, programmed cell death 1; PD-L1, programmed death ligand 1; VEGF, vascular endothelial growth factor.
Figure 1Changes in ECG parameters with ICI myocarditis. (A) PR interval, (B) QRS duration, and (C) QTc-F interval values were derived from ECGs obtained pre-ICI therapy (“baseline or pre-ICI”), after initiating ICI therapy (“on-ICI”), or at the time of myocarditis (for cases only; “myocarditis”). Shown are box-and-whisker plots with the central line indicating the median value, the margins of the box indicating the 25th/75th percentiles, and the whiskers indicating the 5th/95th percentiles. ICI, immune checkpoint inhibitor.
Figure 2Relationship between ECG parameters, ejection fraction, and left ventricular volumes. (A) Scatter-plots of QRS duration (left) or QTc-F interval (right) versus echocardiographic left ventricular EF. Shown are the linear regression lines with their 95% CI. (B) Scatter-plots of QRS duration (left) or QTc-F interval (right) versus EF. (C) Scatter-plots of QRS duration (left) or QTc-F interval (right) versus LVEDV. EF, ejection fraction; LVEDV, left ventricular end-diastolic volume.
Figure 3Association between QRS duration or QTc-F interval and MACE. (A) Kaplan-Meier curves indicate the occurrence of MACE over 120 days from time of diagnosis for myocarditis patients stratified by QRS duration. Similar analyses were performed for male (B) and female (C) myocarditis patients stratified by QTc-F interval as indicated. P value obtained from the log-rank test. MACE, major adverse cardiac events.
Association with major adverse cardiac events (MACE) by multivariable analysis
| Variable | OR | 95% CI | P value |
| QRS duration | 1.30 | 1.07 to 1.61 | 0.011 |
| Age | 1.01 | 0.98 to 1.04 | 0.61 |
| Male sex | 0.55 | 0.21 to 1.40 | 0.22 |
| Hypertension | 0.62 | 0.24 to 1.55 | 0.31 |
| Diabetes mellitus | 1.32 | 0.48 to 3.73 | 0.59 |
| Coronary artery disease | 0.34 | 0.07 to 1.36 | 0.14 |
| Ejection fraction <50% | 4.20 | 1.80 to 10.38 | 0.001 |
| Elevated troponin | 2.54 | 0.69 to 10.83 | 0.17 |
QRS duration was determined at the time of myocarditis diagnosis. For the QRS duration row, the OR reflects the MACE risk for an increase of 10 ms from the mean value across the myocarditis cohort. For the age row, the OR reflects the MACE risk for an increase of 1 year. For all other rows, the ORs reflect the MACE risk comparing those with the designated condition compared with those without.
OR, odds ratio.
Figure 4Frequency of MACE components. Frequencies of the indicated outcome among all myocarditis patients stratified by QRS duration are shown. Numbers at the end of each bar indicate the fraction of patients in each stratum with the indicated event. MACE, major adverse cardiac events.