Literature DB >> 34345530

Clinical Characteristics, Cardiac Magnetic Resonance Features, and Outcomes of Patients with Dilated Cardiomyopathy - An Experience from a South Asian Country.

Pirbhat Shams1, Fateh Ali Tipoo Sultan1.   

Abstract

OBJECTIVES: The objectives of the study were to evaluate the clinical presentation, cardiac magnetic resonance (CMR) features, and outcomes of patients with dilated cardiomyopathy (DCM).
MATERIAL AND METHODS: A retrospective study was conducted at a tertiary care center of Pakistan. All patients who underwent CMR for further evaluation of DCM during the period of 2011-2019 and in whom CMR confirmed the diagnosis of DCM, were included in the study. Patients were followed up in the year 2020 for all-cause mortality and cardiovascular hospitalizations.
RESULTS: A total of 75 patients were included in the study. The mean age was 38.7 ± 13 with the majority (n = 57, 76%) being male. Dyspnea was the most common presenting symptom (n = 68, 90.7%). The mean left ventricle ejection fraction (LVEF) by CMR was 29.3 ± 12 and mean left ventricle stroke volume (LVSV) was 66.5 ± 31. Late gadolinium enhanced (LGE) was present in 28 (37.3%) patients. Follow-up was available in 61 patients with the mean follow-up duration of 39.7 ± 27 months. Most patients (40, 65.6%) experienced all-cause major adverse cardiovascular events (MACE) during the follow-up and mortality was observed in 10 (16.4%) patients. LVSV by CMR (P = 0.03), LVEF by CMR (P = 0.02), and presence of pericardial effusion (PE) (P = 0.01) were significantly associated with all-cause MACE. On multiregression analysis, SV by CMR was associated with all cause MACE (P = 0.048). The presence of LGE was associated with higher mortality (P = 0.03).
CONCLUSION: LVSV, LVEF by CMR, and PE were significantly associated with all-cause MACE. LGE was associated with higher mortality. Our cohort had a relatively younger age of presentation and diagnosis, and a greater mortality on follow-up, when compared with other regions of the world.
© 2021 Published by Scientific Scholar on behalf of Journal of Clinical Imaging Science.

Entities:  

Keywords:  Cardiac magnetic resonance imaging; Dilated cardiomyopathy; Late gadolinium enhancement; Non-ischemic cardiomyopathy; South-Asia

Year:  2021        PMID: 34345530      PMCID: PMC8326073          DOI: 10.25259/JCIS_126_2021

Source DB:  PubMed          Journal:  J Clin Imaging Sci        ISSN: 2156-5597


INTRODUCTION

Dilated cardiomyopathy (DCM) is a type of non-ischemic cardiomyopathy. It entails structurally and functionally abnormal myocardium leading to ventricular dilatation and depressed myocardial performance in the absence of abnormal loading conditions such as hypertension or valve disease.[ The true incidence and prevalence of DCM is not known and is variable depending on geographical location and true exclusion of common comorbid conditions such as hypertension or valvular heart disease (VHD). DCM carries an estimated prevalence of 1:250/500 in adults[ and has an incidence of 3.9%/100,000 person-years.[ DCM can be genetic or non-genetic. Cardiac magnetic resonance (CMR) has evolved as a strong tool to define etiology in DCM and carries a prognostic value.[ It accurately measures volumes, functions, and strains. Contrast enhancement gives additional information about the myocardial tissue quality and extent of fibrosis. In DCM, CMR typically shows an intramural layer of septal fibrosis.[ CMR features of DCM and correlation with cardiovascular outcomes generally remain unknown for the Asian population. This brought us to the need of evaluating CMR characteristics and prognostic features at our center.

MATERIAL AND METHODS

This was a retrospective study conducted at the Aga Khan University Hospital, Pakistan. The study was done after getting approval from the ethical committee of the hospital (ERC number: 2020-5594-14863). CMR data were retrieved from the electronic medical record system of the hospital. All the patients who underwent CMR for further workup of DCM, from 2011 to 2019, were reviewed and only patients with the final diagnosis of DCM were included in the study. Patients with ischemic cardiomyopathy, amyloidosis, sarcoidosis. and arrhythmogenic right ventricular cardiomyopathy were excluded from the study. Clinical and CMR data were collected on a pre-defined data entry form, after reviewing the medical records and telephonic communication when required. DCM on CMR was defined as left ventricle (LV) dilatation, poor systolic wall thickening, and/or reduced inward endocardial systolic motion on cine images in the absence of ischemic or VHD, with an ejection fraction (EF) <45%.[ Major adverse cardiovascular events (MACEs) were defined as a total of mortality, heart failure (HF) hospitalization, and arrhythmia hospitalization.

CMR data acquisition and analysis

CMR was performed using 1.5 Tesla Siemens Avanto Scanner. Each patient underwent breath-hold steady-state free-precision sequence for the assessment of ventricular function. A set of two long axis views (vertical and horizontal) and a set of serial short-axis views were acquired from the mitral plane to the apex using following parameters: A slice thickness 7 mm, a distance factor 25%, a field of view 34 cm, a matrix of 192 × 192, a flip angle 80, a TR/TE of 58.74/1.12, and a bandwidth of 930 Hz/px. Late gadolinium-enhanced (LGE) images were taken after 8–10 min of gadolinium injection. Images were reacquired in the same sequences after the contrast injection. All CMRs were analyzed on a third-party software – Medis QMass. Analysis was done by a single reader who was qualified for and experienced in CMR interpretation. The end-diastolic volume (EDV) and endsystolic volume (ESV) were obtained by manual demarcation of endocardial and epicardial borders on the short-axis cine slices. The left ventricle ejection fraction (LVEF) was calculated (in percentages) from the EDV and ESV. The right ventricle (RV) EF was estimated visually, that is, on eyeballing.

Statistical analysis

Data were analyzed using Statistical Package for the Social Sciences version 23.0.0 (IBM Corp. Released 2018). Results were presented as mean ± standard deviation for continuous variables such as age and as number (percentages) for categorical variables. Number and percentage of outcome variables (MACE) in DCM were calculated and stratified by various CMR and clinical variables. Qualitative data were compared using the two test or Fisher’s exact test, as appropriate. Continuous data were compared using an independent samples t-test or the Mann–Whitney U-test, depending on their distribution. A two-sided P < 0.05 was considered statistically significant for all tests.

RESULTS

A total of 75 patients with the final diagnosis of DCM were included in the study. Table 1 shows the baseline characteristics. The mean age was 38.7 ± 13 with the majority (n = 57, 76%) being male. Dyspnea was the most common presenting symptom (n = 68, 90.7%) followed by palpitation (n = 29, 38.7%).
Table 1:

Baseline characteristics of patients with dilated cardiomyopathy.

Baseline characteristicsNumber (total. n=75)Percentage
Mean age (in years)38.7±13
Females1824
Males5776
DM1520
Dyslipidemia1114.7
Hypertension1418.7
Stroke22.7
Family history of SCD810.3
Family history of DCM1012.8
Symptoms
Dyspnea6890.7
Palpitations2938.7
Syncope1013.3
Pre-syncope34

DM: Diabetes mellitus, SCD: Sudden cardiac death, DCM: Dilated cardiomyopathy

Baseline characteristics of patients with dilated cardiomyopathy. DM: Diabetes mellitus, SCD: Sudden cardiac death, DCM: Dilated cardiomyopathy The mean EF by echocardiogram was 26.4% ± 15. The mean left ventricular end-diastolic diameter (LVEDD) was 52.89 ± 8 mm and the mean left ventricular end-systolic diameter (LVESD) was 42.8 ± 10 mm. CMR features of the patients are shown in Table 2. The mean LVEF by CMR was 29.3% ± 12 and the mean LV stroke volume (SV) was 66.5 ± 31 ml. Majority (n = 64, 85.3%) of the patients showed generalized global hypokinesia and no regional wall motion abnormalities. LGE was present in 28 (37.3%) patients. The RV systolic function was reduced in 16 (21.3%) patients.
Table 2:

CMR features of patients with dilated cardiomyopathy.

CMR characteristicsMeann (%)
LVEDV244.6±9975
LVESV178±8775
LV SV66.5±3175
EF29.3±1275
Global hypokinesia64 (85.3)
LV mass149±5271
RV size62
Normal54 (72)
Enlarged8 (10.7)
RV function62
Normal46 (61.3)
Mildly reduced4 (5.3)
Moderately reduced6 (8)
Severely reduced6 (8)
Pericardium75 (100)
Normal64 (85.3)
Pericardial effusion11 (14.7)
LGE28 (37.3)
No LGE47 (62.6)
Thrombus5 (6.7)

CMR: Cardiac magnetic resonance, LVEDV: Left ventricle end-diastolic volume, LVESV: Left ventricle end-systolic volume, LV: Left ventricle, SV: Stroke volume, EF: Ejection fraction, RV: Right ventricle, LGE: Late gadolinium enhancement

CMR features of patients with dilated cardiomyopathy. CMR: Cardiac magnetic resonance, LVEDV: Left ventricle end-diastolic volume, LVESV: Left ventricle end-systolic volume, LV: Left ventricle, SV: Stroke volume, EF: Ejection fraction, RV: Right ventricle, LGE: Late gadolinium enhancement Follow-up was available in 61 patients [Table 3] with the mean follow-up duration of 39.7 ± 27 months. Over the course of follow-up, all-cause MACE was observed in 40 (65.6%) patients whereas mortality was observed in 10 (16.4%) patients, 44.4% of patients had at least one HF hospitalization and 36% had at least one arrhythmia hospitalization.
Table 3:

Outcomes on follow-up.

Outcomesn (%)
All-cause mortality10 (16.4)
Number of HF hospitalization
034 (55.7)
114 (23)
26 (9.8)
35 (8.2)
42 (3.3)
Number of arrhythmia hospitalization
039 (63.9)
19 (14.8)
23 (4.9)
38 (13.1)
41 (1.6)
71 (1.6)
MACE40 (65.6)
Lost to follow-up14 (18.6)
Time from diagnosis to outcome (months)32±17
CIED implantation on follow-up10 (16.4)
Clinically documented arrhythmia
Atrial fibrillation4 (5.3)
Atrial flutter3 (4)
Ventricular tachycardia/fibrillation7 (9.3)
PVCs1 (1.3)
Complete heart block1 (1.3)
Invasive coronary angiogram15 (20%)

HF: Heart failure, MACE: Major adverse cardiovascular event, CIED: Cardiac implantable electronic device, PVC: Premature ventricular contraction

Outcomes on follow-up. HF: Heart failure, MACE: Major adverse cardiovascular event, CIED: Cardiac implantable electronic device, PVC: Premature ventricular contraction Patients were divided into two groups based on the presence or absence of MACE on follow-up. Table 4 shows the difference of clinical and CMR features among two groups. On analysis, LVEF and SV by CMR were significantly associated with MACE (P = 0.02 and 0.03, respectively). Age, gender, and presence of thrombus did not predict outcomes in DCM patients in this study. On multiregression analysis, SV by CMR was significantly associated with all-cause MACE (P = 0.048). The presence of LGE was associated with higher all-cause mortality (P = 0.03). The RV dysfunction of any degree was not associated with all-cause MACE (P = 0.13).
Table 4:

Differences in clinical and cardiac magnetic resonance features in patients with or without MACE on follow-up.

CharacteristicMACE (n=40)No MACE (n=21)P value
Age (years)36.7±14.740.9±13.40.28
Gender
Male29 (72.5)16 (76.2)0.75
Female11 (27.5)5 (23.8)
Symptoms
Dyspnea3 (90)19 (90.5)0.99
Palpitation18 (45)7 (33.3)0.37
Syncope7 (17.5)2 (9.5)0.47
Presyncope2 (5.0)1 (4.8)0.99
LVEF by echo; n=33
<3019 (82.6)4 (40)0.04
30–351 (4.3)1 (10)
>353 (13)5 (50)
LVEDV by CMR
≤1708 (20)7 (33.3)0.25
>17032 (80)14 (66.7)
LVESV by CMR
≤1208 (20)8 (38.1)0.12
>12032 (80)13 (61.9)
LV stroke volume by CMR
≤5016 (40)3 (14.3)0.03
>5024 (60)18 (85.7)
LVEF by CMR
<3029 (72.5)9 (42.9)0.02
30–355 (12.5)2 (9.5)
>356 (15)10 (47.6)
LV mass by CMR; n=57
≤1108 (21.6)5 (25)0.75
>11029 (78.4)15 (75)
RV size CMR; n=50
Normal29 (80.6)14 (100)0.16
Enlarged7 (19.4)0
RVF CMR; n=50
Normal23 (63.9)13 (92.9)0.13
Mildly reduced2 (5.6)1 (7.1)
Moderately reduced6 (16.7)0
Severely reduced5 (13.9)0
SWMA4 (10)1 (4.8)0.65
Global hypokinesia34 (85)17 (81)0.72
LGE
Hyperenhancement21 (52.5)7 (33.3)0.18
Normal19 (47.5)14 (66.7)
Thrombus2 (5.0)2 (9.5)0.60
Pericardium
Normal30 (75)21 (100)0.01
Effusion10 (25)0
Regional or global edema4 (10)00.28
Family history of
DCM9 (22.5)1 (4.8)0.14
SCD5 (12.5)2 (9.5)0.99

MACE: Major adverse cardiovascular event, LVEDV: Left ventricle end-diastolic volume, LVESV: Left ventricle end-systolic volume, LV: Left ventricle, EF: Ejection fraction, RV: Right ventricle, LGE: Late gadolinium enhancement, DCM: Dilated cardiomyopathy, SCD: Sudden cardiac death, SWMA: Segmental wall motion abnormalities, CMR: Cardiac magnetic resonance

Differences in clinical and cardiac magnetic resonance features in patients with or without MACE on follow-up. MACE: Major adverse cardiovascular event, LVEDV: Left ventricle end-diastolic volume, LVESV: Left ventricle end-systolic volume, LV: Left ventricle, EF: Ejection fraction, RV: Right ventricle, LGE: Late gadolinium enhancement, DCM: Dilated cardiomyopathy, SCD: Sudden cardiac death, SWMA: Segmental wall motion abnormalities, CMR: Cardiac magnetic resonance The most common pattern of LGE encountered was midmyocardial which was present in 12 patients (42.8% of 28 LGE + patients). Septal involvement was found in 9 patients (32.1%) [Figures 1-5]. The RV LGE was present in 4 patients (14.2%).
Figure 1:

A 27-year-old female presented with shortness of breath and severe left ventricular systolic dysfunction on echocardiogram. Cardiac magnetic resonance steady-state free-precession still frame, 4-chamber view showing dilated left ventricle (arrow).

Figure 5:

A 28-year-old male with a history of recurrent wide complex tachycardia, left ventricular systolic dysfunction, and normal coronary arteries. Cardiac magnetic resonance late gadolinium image, short-axis view showing a rim of subepicardial hyperenhancement (arrow).

A 27-year-old female presented with shortness of breath and severe left ventricular systolic dysfunction on echocardiogram. Cardiac magnetic resonance steady-state free-precession still frame, 4-chamber view showing dilated left ventricle (arrow). A 40-year-old male with 1 year history of shortness of breath and severe left ventricular systolic dysfunction on echocardiogram. Cardiac magnetic resonance late gadolinium image, short-axis view showing a rim of mid-myocardial hyperenhancement (arrow). A 42-year-old lady with atrial fibrillation and heart failure. Cardiac magnetic resonance late gadolinium image, 3-chamber view showing mid-myocardial hyperenhancement which is subendocardial in basal inferolateral segment (arrow). A 31-year-old male with signs and symptoms of heart failure and severe left ventricular systolic dysfunction on echocardiogram. Cardiac magnetic resonance late gadolinium image, 3-chamber view showing subepicardial hyperenhancement in the inferolateral wall (arrow). A 28-year-old male with a history of recurrent wide complex tachycardia, left ventricular systolic dysfunction, and normal coronary arteries. Cardiac magnetic resonance late gadolinium image, short-axis view showing a rim of subepicardial hyperenhancement (arrow). Table 5 highlights the difference in baseline characteristics and outcomes of patients with and without LGE.
Table 5:

Comparison of baseline characteristics and outcomes of patients with and without late gadolinium enhancement on CMR.

CharacteristicsNo LGE; n=33LGE+; n=28P value
Age, years38.8±14.837.3±14.00.69
Gender
Male23 (69.7)22 (78.6)0.43
Female10 (30.3)6 (21.4)
Comorbidity
DM10 (30.3)5 (17.9)0.26
Dyslipidemia6 (18.2)4 (14.3)0.74
Hypertension8 (24.2)3 (10.7)0.17
IHD1 (3.0)2 (7.1)0.58
Stroke01 (3.6)0.45
Family history of
SCD4 (12.1)3 (10.7)0.99
DCM3 (9.1)7 (25)0.16
Symptoms
Dyspnea30 (90.9)25 (89.3)0.99
Palpitation9 (27.3)16 (57.1)0.01
Syncope4 (12.1)5 (17.9)0.72
Pre-syncope2 (6.1)1 (3.6)0.99
Outcomes
MACE19 (57.6)21 (75)0.18
CIED5 (15.2)5 (17.9)0.99
Mortality2 (6.1)8 (28.6)0.03

CMR: Cardiac magnetic resonance, DM: Diabetes mellitus,

IHD: Ischemic heart disease, SCD: Sudden cardiac death, DCM: Dilated cardiomyopathy, MACE: Major adverse cardiovascular event,

CIED: Cardiac implantable electronic device

Comparison of baseline characteristics and outcomes of patients with and without late gadolinium enhancement on CMR. CMR: Cardiac magnetic resonance, DM: Diabetes mellitus, IHD: Ischemic heart disease, SCD: Sudden cardiac death, DCM: Dilated cardiomyopathy, MACE: Major adverse cardiovascular event, CIED: Cardiac implantable electronic device

DISCUSSION

There is a scarcity of CMR data in DCM in South-Asian population and very few studies have highlighted CMR characteristics of DCM in this part of the world.[ CMR has become the gold standard for the assessment of the right and left heart volumes and has been proven to have good reproducibility in the assessment of volumes and EFs. The three-dimensional dataset omits the error that comes by the two-dimensional assumption about the geometrical shape of heart.[ CMR is shown to have superior reproducibility coefficient in assessment of EF (P < 0.001), ventricular mass (P < 0.001), ESV (P < 0.001), and EDV (P = 0.17).[ Our study revealed a fair agreement between mean EF calculation by echocardiogram and CMR (26.4 ± 15 vs. 29.3 ± 12). This is consistent with the previous studies.[ Table 6 compares the baseline characteristics of our study subjects with those of Behera et al.,[ Grothues et al.,[ Assomull et al.,[ Ibrahim et al.,[ and Puntmann et al.[
Table 6:

Comparison of our study with five other studies in the literature across different regions of the world.

CharacteristicsOur study(n=75)Behara et al.(n=112)Assomul et al.(n=101)Grotheus et al.(n=20)Ibrahim et al.(n=35)Puntmann et al.(n=637)
Country or region of studyKarachi, PakistanIndiaSoutheast EnglandLondon, EnglandEgyptEngland, Germany (multicentered)
Mean age38.7±1342.750.561±12 (33–78)46.9+9 years50 (37–76)
Males76%64.2%69%90%60%62%
DM2025.84.9%Not given14.3%24%
Hypertension18.7Not given13.8%Not given31.4%48%
Family history12.83.57Not given17%22.9%9%
Mean EF by CMR29.3±1221.0 (13.2–34.2)Not given33±11 (10–58)30%47 (29–50)
Stroke volume66.5±3126.5 (21.2–50.7) (indexed)Not given75±15 (35–102)Not givenNot given
LVEDV244.6±99137 (87.5–225)(indexed)259.5128±29 (84–179)(indexed)Not given109 (89–132)(indexed)
LVESV178±87102 (62.7–183.7)(indexed)174.588±30 (36–152) (indexed)Not given48 (31–58)(indexed)
LV mass105±17 (78–138)Not given73.5201±36 (127–256)(indexed)Not given88 (62–98)(indexed)
LGE present37.3%39.2%65.3%Not given77.1%27%
Mortality on follow-up16.4%5.35%9.9%Not givenNot given4.3%

DM: Diabetes mellitus, LVEDV: Left ventricle end-diastolic volume, LVESV: Left ventricle end-systolic volume, LV: Left ventricle, EF: Ejection fraction, LGE: Late gadolinium enhancement, CMR: Cardiac magnetic resonance

Comparison of our study with five other studies in the literature across different regions of the world. DM: Diabetes mellitus, LVEDV: Left ventricle end-diastolic volume, LVESV: Left ventricle end-systolic volume, LV: Left ventricle, EF: Ejection fraction, LGE: Late gadolinium enhancement, CMR: Cardiac magnetic resonance We found that our patients had relatively younger age of diagnosis when compared with the other studies. Male predominance was common among all five studies. On comparison, our patients had relatively lesser SV and EF, a higher LV mass but comparable LVEDV and LVESV. Overall, we had a relatively greater all-cause mortality on follow-up. Our comparison suggests that the presence of LGE in DCM has a variable occurrence across different studies. Possible causes for greater mortality include pitfalls pertinent to a low-to-middle-income country such as lack of wide availability of HF clinics, lack of serial follow-up with primary cardiologist, lower education status and awareness about the disease, and inability to receive HF medicines and cardiac implantable electronic devices (CIEDs) implantation where indicated, all being largely driven by economic constraints. Of note, the study from our neighboring country India also exhibited a trend of younger age and lower EF than the other studies. This points toward some sociocultural, genetic, and geographical determinants given the commonality between the two countries. The extent of fibrosis and degree of late contrast enhancement carries prognostic implications in terms of long-term all-cause mortality, future hospitalizations, and risk of arrhythmias. We found that patients with LGE had higher all-cause mortality (P = 0.03). Our study highlighted a trend toward increased chances of LGE in patients with MACE, however, this did not reach level of statistical significance. Overall, there was no significant difference between basic demographic characteristics and symptoms except for LGE + patients presenting more often with palpitations (P = 0.01). Assomull et al. looked at CMR features of DCM patients in a cohort of 101 DCM patients and found that mid-wall fibrosis was present in 30% of patients and when present, it was associated with higher rates of all-cause mortality, cardiovascular hospitalizations, sudden cardiac death, and ventricular tachycardia.[ Similarly, CMR evidence of diffuse myocardial diseases on T1 mapping predicted all-cause mortality and HF events.[ This leads to the importance of CMR in not just defining etiology but also in risk stratification of DCM patients. Unfortunately, we did not perform T1 mapping in our patients due to the non-availability of software. More than one-third of our patients (37.3%) had LGE and mid-myocardial LGE was the most common pattern. Septal involvement was found in 32% of those with LGE. The results are consistent with those described by Halliday et al. whereby the mid-wall LGE was the most common pattern encountered (61.6%, 185 out of 300 LGE + patients); septal involvement was present in 86% (258 out of 300 LGE + patients) and was associated with significant increase in risk of death and SCD events, the risk being greatest when septal involvement was concomitantly present with free-wall LGE.[ In the Indian cohort mentioned above, LGE was associated with all-cause MACE but did not predict all-cause mortality. Mid-myocardial LGE was the most common pattern and septal involvement had highest associated risk of adverse outcomes (HR 3.046, 95% CI: 1.726–5.376, P = 0.001). To be labeled as familial DCM, it requires two family members with DCM or a familial history of sudden cardiac death at age <35 years. History of familial diseases warrants genetic testing, screening and serial follow-up with physical examination, serial electrocardiograms, and echocardiograms.[ Our study population had lesser prevalence of family history of DCM when compared to the other two studies. This could possibly be because of variation in surveillance or screening of family members across different countries and centers. Our study reported a greater association of the presence of pericardial effusion (PE) and all-cause MACE. About 25% of patients with MACE had PE on CMR in contrast to 0% without MACE and this reached level of statistical significance (P = 0.01). It is not uncommon to have mild-moderate PE in advanced HF states.[ The presence of hemodynamically insignificant PE in HF patients has been associated with larger LVESD (P = 0.01), lower EF (P = 0.04), a higher heart rate (P <0.0001), lower use of beta-blockers, an overall reduced survival (P = 0.02), and greater probability of dying from cardiac cause (P = 0.01); a greater number of non-ischemic CMP was present in group with PE than in control (78% vs. 61%).[

Limitations

It was a single-centered study with a small population size. We were limited by the lack of availability of T1 mapping software.

CONCLUSION

Our cohort had a relatively younger age of presentation and diagnosis, a lower EF and had a greater mortality on follow-up when compared with other regions of the world. LV SV, LVEF by CMR, and presence of PE were significantly associated with all-cause MACE. LGE was present in more than one-third of patients and mid-wall involvement was the most common pattern encountered. The patient with LGE had higher mortality than those without LGE. There was a trend toward increased chances of LGE in patients with MACE when compared to patients without MACE, but this did not reach level of statistical significance. The greater mortality in DCM patients of this region can be attributable to the economic constraints, lack of widely available HF clinics, and inability to receive CIED implantation where indicated.
  16 in total

1.  Role of Cardiac MR Imaging in Cardiomyopathies.

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Authors:  Elizabeth M McNally; Luisa Mestroni
Journal:  Circ Res       Date:  2017-09-15       Impact factor: 17.367

Review 3.  Classification, Epidemiology, and Global Burden of Cardiomyopathies.

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Journal:  Circ Res       Date:  2017-09-15       Impact factor: 17.367

4.  Clinical Presentation, Cardiac Magnetic Resonance Findings, and Prognosis of Patients with Arrhythmogenic Right Ventricular Cardiomyopathy - An Experience from Pakistan.

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Journal:  J Clin Imaging Sci       Date:  2020-08-01

5.  Cardiac Magnetic Resonance Evaluation of Cardiac Masses in Patients with Suspicion of Cardiac Masses on Echo or Computed Tomography.

Authors:  Fateh Ali Tipoo Sultan; Syed Waqar Ahmed
Journal:  J Clin Imaging Sci       Date:  2020-09-14

6.  Haemodynamically irrelevant pericardial effusion is associated with increased mortality in patients with chronic heart failure.

Authors:  Georg M Fröhlich; Philipp Keller; Florian Schmid; Mathias Wolfrum; Martin Osranek; Christian Falk; Georg Noll; Frank Enseleit; Markus Reinthaler; Pascal Meier; Thomas F Lüscher; Frank Ruschitzka; Felix C Tanner
Journal:  Eur Heart J       Date:  2013-01-25       Impact factor: 29.983

7.  New real-time interactive cardiac magnetic resonance imaging system complements echocardiography.

Authors:  P C Yang; A B Kerr; A C Liu; D H Liang; C Hardy; C H Meyer; A Macovski; J M Pauly; B S Hu
Journal:  J Am Coll Cardiol       Date:  1998-12       Impact factor: 24.094

8.  Comparison of interstudy reproducibility of cardiovascular magnetic resonance with two-dimensional echocardiography in normal subjects and in patients with heart failure or left ventricular hypertrophy.

Authors:  Frank Grothues; Gillian C Smith; James C C Moon; Nicholas G Bellenger; Peter Collins; Helmut U Klein; Dudley J Pennell
Journal:  Am J Cardiol       Date:  2002-07-01       Impact factor: 2.778

9.  T1-Mapping and Outcome in Nonischemic Cardiomyopathy: All-Cause Mortality and Heart Failure.

Authors:  Valentina O Puntmann; Gerry Carr-White; Andrew Jabbour; Chung-Yao Yu; Rolf Gebker; Sebastian Kelle; Rocio Hinojar; Adelina Doltra; Niharika Varma; Nicholas Child; Toby Rogers; Gonca Suna; Eduardo Arroyo Ucar; Ben Goodman; Sitara Khan; Darius Dabir; Eva Herrmann; Andreas M Zeiher; Eike Nagel
Journal:  JACC Cardiovasc Imaging       Date:  2016-01

10.  Patterns of Left Ventricular Hypertrophy and Late Gadolinium Enhancement on Cardiac MRI in Patients with Hypertrophic Cardiomyopathy and their Prognostic Significance - An Experience from a South Asian Country.

Authors:  Fateh Ali Tipoo Sultan; Sheema Saadia
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  1 in total

1.  Cardiac magnetic resonance features and outcomes of patients with non-compaction cardiomyopathy - A retrospective follow-up from Pakistan.

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  1 in total

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