| Literature DB >> 35129215 |
Ryan Cooney1, John R Scott2, Madeline Mahowald3, Elizabeth Langen4, Garima Sharma5, David P Kao6, Melinda B Davis7.
Abstract
BACKGROUND: Delays in diagnosis of peripartum cardiomyopathy (PPCM) are common and are associated with worse outcomes; however, few studies have addressed methods for improving early detection. HYPOTHESIS: We hypothesized that easily accessible data (heart rate [HR] and electrocardiograms [ECGs]) could identify women with more severe PPCM and at increased risk of adverse outcomes.Entities:
Keywords: heart failure; nonischemic cardiomyopathy; outcomes; peripartum cardiomyopathy; pregnancy; risk factors
Mesh:
Year: 2022 PMID: 35129215 PMCID: PMC8860487 DOI: 10.1002/clc.23782
Source DB: PubMed Journal: Clin Cardiol ISSN: 0160-9289 Impact factor: 2.882
Figure 1Flowchart of study sample inclusion and exclusion criteria. This flowchart demonstrates the inclusion and exclusion criteria used to determine the final sample size. EKG, electrocardiogram; PPCM, peripartum cardiomyopathy
Demographic data for all PPCM patients: overall cohort and by HR at diagnosis
| Total | HR > 100 |
| HR > 11 |
| HR > 120 |
| |
|---|---|---|---|---|---|---|---|
|
| 82 (100) | 50 (60.9) | 35 (42.7) | 20 (24.4) | |||
| Age at diagnosis, mean (SD) | 29.9 (7.3) | 29.8 (7.4) | .818 | 30.2 (7.6) | .768 | 28.5 (7.1) | .964 |
| Diagnosed postpartum | 75 (91.5) | 45 (60.0) | .557 | 31 (41.3) | .0425 | 18 (24) | .788 |
|
| .509 | .244 | .795 | ||||
| White | 54 (65.0) | 31 (64.6) | .700 | 25 (75.8) | .453 | 14 (73.7) | .547 |
| Black | 20 (25.0) | 12 (25.0) | .841 | 5 (15.)2 | .104 | 4 (21.1) | .599 |
| Other | 6 (7.5) | 5 (10.5) | .246 | 3 (9.1) | .863 | 1 (5.3) | .623 |
|
| .994 | .894 | .999 | ||||
| 1 | 32 (39.0) | 20 (40.0) | 13 (37.1) | 9 (45.0) | |||
| 2 | 23 (28.0) | 14 (28.0) | 11 (31.4) | 7 (35.0) | |||
| 3 | 8 (9.8) | 5 (10.0) | 5 (14.3) | 3 (15.0) | |||
| 4 | 9 (11.0) | 5 (10.0) | 3 (8.6) | 0 | |||
| 5 | 3 (3.7) | 2 (4.0) | 1 (2.9) | 0 | |||
| 6 | 5 (6.1) | 2 (4.0) | 1 (2.9) | 1 (5.0) | |||
| 7 | 1 (1.2) | 1 (2.0) | 1 (2.9) | 0 | |||
| 8 | 1 (1.2) | 1 (2.0) | 0 | 0 | |||
|
| .934 | .897 | .403 | ||||
| 0 | 4 (4.9) | 3 (6.0) | 3 (8.6) | 3 (15.0) | |||
| 1 | 35 (42.7) | 20 (40.0) | 13 (37.1) | 7 (35.0) | |||
| 2 | 24 (29.3) | 14 (28.0) | 11 (31.4) | 8 (40.0) | |||
| 3 | 11 (13.4) | 6 (12.0) | 5 (14.3) | 1 (5.0) | |||
| 4 | 6 (7.3) | 5 (10.0) | 2 (5.7) | 0 | |||
| 5 | 0 | 0 | 0 | 0 | |||
| 6 | 1 (1.2) | 1 (1.2) | 1 (2.9) | 1 (5.0) | |||
| 7 | 1 (1.2) | 1 (1.2) | 0 | 0 | |||
|
| |||||||
| Vaginal | 45 (42.7) | 16 (32.0) | .021 | 14 (41.2) | .690 | 10 (52.6) | .371 |
| Cesarean | 35 (54.9) | 32 (64.0) | .023 | 20 (58.5) | .690 | 9 (47.4) | .373 |
| Pre‐eclampsia | 22 (26.8) | 16 (32.0) | .191 | 12 (34.3) | .192 | 4 (20.0) | .431 |
| Hypertensive disorders of pregnancy | 34 (41.5) | 25 (50.0) | .053 | 18 (51.4) | .116 | 7 (35.0) | .501 |
| Beta‐blocker | 73 (89.0) | 44 (88.0) | .711 | .711 | .711 | 16 (80.0) | .150 |
| ACEi/ARB | 76 (92.7) | 44 (88.0) | 1.000 | 30 (85.7) | .069 | 17 (85.0) | .149 |
| Loop diuretic | 80 (97.6) | 49 (98.0) | .749 | .749 | .833 | 19 (95.0) | .417 |
| Spironolactone | 32 (39.0) | 24 (48.0) | .040 | 16 (45.7) | .285 | 10 (50.0) | .250 |
| Hydralazine | 12 (14.6) | 8 (16.0) | .663 | 8 (22.9) | .079 | 4 (20.0) | .438 |
| Nitrates | 11 (13.4) | 6 (12.0) | .639 | 6 (17.1) | .397 | 2 (10.0) | .608 |
| Digoxin | 35 (42.7) | 25 (50.0) | .097 | 20 (57.1) | .024 | 14 (70.0) | .006 |
| Inotropes | 16 (19.5) | 13 (27.1) | .063 | 11 (33.3) | .017 | 7 (38.9) | .028 |
| Bromocriptine | 2 (2.4) | 2 (4.0) | 1.000 | 2 (5.7) | 1.000 | 1 (5.0) | .417 |
| IABP | 4 (4.9) | 4 (8.2) | 1.0 | 4 (11.8) | 1.000 | 4 (21.1) | 1.000 |
Note: χ2 test was performed; the exact test was performed for variables with groups n < 5. Age at diagnosis is reported as age (mean ± SD). All other data are reported as n (%), unless otherwise indicated. Hypertensive disorders of pregnancy include pre‐existing hypertension, gestational hypertension, and/or pre‐eclampsia.
Abbreviations: ACEi, angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; HR, heart rate; IABP, intra‐aortic balloon pump; PPCM, peripartum cardiomyopathy.
Association of elevated HR with decreased LVEF
| EF ≥ 35% at diagnosis ( | EF < 35% at diagnosis ( | OR (95% CI) |
| |
|---|---|---|---|---|
|
HR < 100 ( | 13 (59) | 19 (32) | 0.321 (0.12–0.88) | .027 |
|
HR ≥ 100 ( | 9 (41) | 41 (68) | 3.12 (1.14–8.55) | .027 |
|
HR > 110 ( | 5 (22.7) | 31 (51.7) | 4.81 (1.46–15.91) | .010 |
|
HR > 120 ( | 2 (9) | 18 (30) | 4.29 (0.91–20.29) | .067 |
Note: Values are n (%), unless otherwise indicated.
Abbreviations: CI, confidence interval; EF, ejection fraction; HR, heart rate; LVEF, left ventricular ejection fraction; OR, odds ratio.
Figure 2Relationship between ejection fraction and heart rate at diagnosis. This figure shows the relationship between HR (independent variable) and LVEF (dependent variable). Using linear regression, higher HR was associated with lower LVEF. HR, heart rate; LVEF, left ventricular ejection fraction
Association between elevated HR and recovery
| Recovered at 6 months ( |
| Recovered at 12 months ( |
| Recovered eventually ( |
| |
|---|---|---|---|---|---|---|
|
HR < 100 ( | 18 (47.4) | .049 | 22 (45.8) | .073 | 27 (46) | .063 |
|
HR ≥ 100 ( | 20 (52.6) | .049 | 26 (54.2) | .073 | 32 (54) | .063 |
|
HR > 110 ( | 15 (39) | .363 | 19 (40) | .491 | 22 (37) | .240 |
|
HR > 120 ( | 9 (24) | .687 | 12 (25) | .925 | 12 (20) | .316 |
Note: Values are n (%), unless otherwise indicated.
Abbreviations: bpm, beats per minute; HR, heart rate.