Preterm Birth and Risk of Heart Failure Up to Early Adulthood

Preterm Birth and Risk of Heart Failure Up to Early Adulthood

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY VOL. 69, NO. 21, 2017 ª 2017 BY THE AMERICAN COLLEGE OF CARDIOLOGY FOUNDATION ISSN 0735-1097/$36.00 ...

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JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

VOL. 69, NO. 21, 2017

ª 2017 BY THE AMERICAN COLLEGE OF CARDIOLOGY FOUNDATION

ISSN 0735-1097/$36.00

PUBLISHED BY ELSEVIER

http://dx.doi.org/10.1016/j.jacc.2017.03.572

Preterm Birth and Risk of Heart Failure Up to Early Adulthood Hanna Carr, BS,a Sven Cnattingius, MD, PHD,a Fredrik Granath, PHD,a Jonas F. Ludvigsson, MD, PHD,b,c Anna-Karin Edstedt Bonamy, MD, PHDa,d

ABSTRACT BACKGROUND In small clinical studies, preterm birth was associated with altered cardiac structure and increased cardiovascular mortality in the young. OBJECTIVES The goal of this study was to determine the association between preterm birth and risk of incident heart failure (HF) in children and young adults. METHODS This register-based cohort study included 2,665,542 individuals born in Sweden from 1987 to 2012 who were followed up from 1 year of age to December 31, 2013. The main study outcome was diagnosis of HF in the National Patient Register or the Cause of Death Register. The association between preterm birth and risk of incident HF was analyzed by using a Poisson regression model. Estimates were adjusted for maternal and pregnancy characteristics, socioeconomic status, and maternal and paternal cardiovascular disease. RESULTS During 34.8 million person-years of follow-up (median 13.1 years), there were 501 cases of HF. After exclusion of 52,512 individuals with malformations (n ¼ 196 cases), 305 cases of HF remained (0.88 per 100,000 person-years). Gestational age was inversely associated with the risk of HF. Compared with individuals born at term ($37 weeks’ gestation), adjusted incidence relative risks for HF were 17.0 (95% confidence interval [CI]: 7.96 to 36.3) after extremely preterm birth (<28 weeks) and 3.58 (95% CI: 1.57 to 8.14) after very preterm birth (28 to 31 weeks). There was no risk increase after moderately preterm birth (32 to 36 weeks) (relative risk: 1.36; 95% CI: 0.87 to 2.13). CONCLUSIONS There was a strong association between preterm birth before 32 weeks of gestation and HF in childhood and young adulthood. Although the absolute risk of HF is low in young age, our findings indicate that preterm birth may be a previously unknown risk factor for HF. (J Am Coll Cardiol 2017;69:2634–42) © 2017 by the American College of Cardiology Foundation.

B

etween 5% and 13% of all live births occur

medical needs of these subjects, and for developing

before term (<37 weeks of gestation) (1,2).

appropriate preventive measures.

Although prematurity is still the main cause

Results from previous studies suggest that survi-

of neonatal death globally, high-income countries

vors of preterm birth are at increased risk of hyper-

have experienced dramatic increases in survival rates

tension, stroke, and cardiovascular mortality but not

in preterm infants over the past few decades (2,3).

ischemic heart disease (4–8). To the best of our

Knowledge about how the burdens of prematurity

knowledge, the association between preterm birth

may be carried into later life in these steadily growing

and risk of heart failure (HF) has not previously been

generations of new survivors is important for

explored. HF in children and young adults is an un-

improving neonatal care, for meeting the future

usual but dangerous condition with high mortality

Listen to this manuscript’s audio summary by

From the aClinical Epidemiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; bDepartment of

JACC Editor-in-Chief

Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; cÖrebro University Hospital, Örebro, Sweden;

Dr. Valentin Fuster.

and the dDepartment of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden. This study was funded by the Swedish Research Council for Health, Working Life and Welfare (Dr. Bonamy, 2010-0643), Swedish Society for Medical Research (Dr. Bonamy), Stockholm County Council (Dr. Bonamy, clinical research appointment), the Swedish Heart and Lung Foundation (Dr. Bonamy, 20160578), and the Karolinska Institutet Distinguished Professor Award (Dr. Cnattingius). All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. Manuscript received October 14, 2016; revised manuscript received February 19, 2017, accepted March 20, 2017.

Carr et al.

JACC VOL. 69, NO. 21, 2017 MAY 30, 2017:2634–42

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Preterm Birth and Risk of HF

rates (9,10). Congenital heart disease and cardiomy-

covers all hospitalizations in Sweden from

ABBREVIATIONS

opathies, particularly idiopathic dilated cardiomyop-

1987 onward, and information on hospital-

AND ACRONYMS

athy, are the main causes of HF at young age (11–13).

based outpatient care is included from 2001.

Incidence data for pediatric HF are scarce but were

The Cause of Death Register provides infor-

estimated to be 0.87 per 100,000 person-years in a

mation on causes and dates of death in

study in the United Kingdom and Ireland of HF

Sweden from 1961 (24). The Multi-Generation

caused by cardiac muscle disease (14). Between 1987

Register was created in 2000, and it includes

and 2006, the incidence of HF among young adults in

individual index-persons born after 1932 who

Sweden increased by 50%, and the proportion of

were alive in 1961 and links them to their parents (25).

cardiomyopathies as an underlying cause of HF

Information on educational level was collected from

increased from 15% to 25% (15).

the Swedish Register of Education (26). Date of

Preterm birth entails exposure of the immature infant heart to extrauterine conditions. Evidence

CI = confidence interval HF = heart failure ICD = International Classification of Diseases

RR = relative risk

emigration was retrieved from the Register of the Total Population (27).

from animal models and small studies of preterm

EXPOSURES. Data on the main exposure (i.e., gesta-

infants shows that preterm birth interferes with

tional age at birth) were retrieved from the Medical

normal cardiac development in the neonatal period

Birth Register and categorized into 22 to 27 weeks

(16–19). In a cardiac imaging study of adults born

(extremely preterm), 28 to 31 weeks (very preterm), 32

preterm, ventricular mass in adulthood was seen to

to 36 weeks (moderately preterm), and $37 weeks

increase with lower gestational age at birth. Preterm

(term). Since the early 1990s, all pregnant women in

birth was also associated with further alterations in

Sweden are offered a diagnostic ultrasound scan in

cardiac structure and function (20).

the early second trimester, usually between weeks 17 and 20, and >96% accept (28). When no information

SEE PAGE 2643

We hypothesized that preterm birth is associated with an increased risk of later HF. In a nationwide Swedish cohort study including >2.6 million live births, we investigated the association between gestational age at birth and risk of incident HF in childhood and young adulthood.

on ultrasound dating of pregnancy was available, the last menstrual period was used for assessing gestational age. Data on size at birth were calculated as deviation from the estimated weight for gestational age and sex, based on the Swedish reference curve for intrauterine growth (29). Individuals were categorized as very small (<2 SD), small (2 SD to <1 SD), appro-

PATIENTS AND METHODS

priate (1 SD to 1 SD), large (>1 SD to 2 SD) or very

STUDY DESIGN AND POPULATION. This registry-

based cohort study included 2,665,542 individuals born in Sweden and registered in the Medical Birth Register between 1987 and 2012 (Figure 1). Individuals were followed up from 1 year of age until death,

large (>2 SD). These data were also used to statistically correct for the possibility that an association between preterm birth and later HF is confounded by low birth weight for gestational age, a proxy for poor fetal growth.

emigration, first diagnosis of HF or ischemic heart

OUTCOMES. The primary outcome was a diagnosis of

disease, or end of study (December 31, 2013), which-

incident HF without a previous diagnosis of ischemic

ever came first. Start of follow-up was set to 1 year of

heart disease in the National Patient Register or the

age to avoid measuring HF as an immediate compli-

Cause of Death Register. The International Classifi-

cation during neonatal care.

cation of Diseases (ICD)-9th revision (ICD-9; used

A unique personal identity number given to all

between 1987 and 1996) and 10 (ICD-10; introduced in

comprehensive

1997) were used to define HF (ICD-9 code 428 and

cross-linking with other national registries (21). The

ICD-10 code I50) and ischemic heart disease (ICD-9

caregivers are required by law to contribute informa-

codes 410 to 414 and ICD-10 codes I20 to I25).

tion to these registries. The Medical Birth Register was

OTHER VARIABLES. From the Medical Birth Register,

started in 1973 and covers >98% of all births in Sweden

we included information on maternal factors such

(22). Since 1982, it is based on copies of standardized

as age at delivery, country of birth, singleton or

clinical record forms used in all antenatal care clinics

multiple pregnancy, diagnosis of hypertension, pre-

and delivery and neonatal wards in the country, and it

eclampsia, diabetes mellitus, or gestational diabetes.

contains data on both mother and infant. The National

Data on maternal smoking in the Medical Birth

Patient Register contains data on patient diagnoses

Register were divided into 2 groups according

and medical and surgical procedures (23). The registry

to information collected at the first antenatal visit,

Swedish

residents

allows

for

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Carr et al.

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Preterm Birth and Risk of HF

F I G U R E 1 Study Population

STATISTICAL ANALYSIS. The association between

preterm birth and HF was assessed in a Poisson regression analysis. Relative risks (RRs) (adjusted

Live births in Sweden 1987-2012, n=2,714,789

incidence rate ratios) and corresponding 95% confidence intervals (CIs) for each gestational age category were modeled by using log (person-years at risk) as an

Missing personal identification number, n=22,828 Missing information on gestational age, n=3,217 Missing or unreasonable birth weight, n=8,896

offset. Covariates for the adjusted models were chosen on the basis of an association with our main outcome at a level of p #0.20. Birth year period (1987 to 1995, 1996 to 2003, and 2004 to 2012), attained age

Death <1 year of age, n=9,399 Emigration <1 year of age, n=3,881 Diagnosis of heart failure <1 year of age, n=753 Diagnosis of ischemic heart disease <1 year of age, n=81 Did not reach 1 year of age before 31 Dec 2013, n=192

during follow-up (in 5-year intervals), maternal age and education, subject sex, and birth weight were included as covariates in the first adjusted model (or gestational age in analyses of the association between birth weight for gestational age and risk of HF). In the

Final study population, n=2,665,542

second model, we also adjusted for maternal or paternal HF or ischemic heart disease. Adjusted models 1 and 2 were applied both before and after

Flow chart of inclusions and exclusions in the study.

excluding individuals with malformations. Because of the large number of missing data on maternal smoking among preterm individuals, we adjusted for

usually in weeks 8 to 12 of pregnancy. This informa-

maternal smoking habits in a separate model,

tion has been routinely collected since 1983, but data

including individuals with complete data on all

are sometimes missing, particularly for mothers of

covariates.

preterm individuals. Information on highest attained

Incidence rates for HF were also calculated on the

level of maternal education was retrieved from the

basis of gestational age at birth and attained age at

Education Register and was categorized as #9 years,

time of diagnosis (Online Table 1). Using a Poisson

10 to 12 years, or $13 years of education.

regression model, we estimated unadjusted incidence

Individuals born with malformations that could

rate ratios for the same age intervals, also presented

possibly correlate with risk of HF were identified by

in Online Table 1. All data were analyzed by using SAS

searching the Medical Birth Register and the National

version 9.4 software (SAS Institute, Inc., Cary, North

Patient Register for 1 of the following ICD-9 or ICD-10

Carolina).

diagnoses: malformations of the circulatory system

ETHICS. Ethical

(745.0 to 747.9 or Q20 to Q28), congenital malforma-

the Regional Ethical Vetting Board in Stockholm

tion syndromes due to known exogenous causes not

(Etikprövningsnämnden)

classified elsewhere (759.8 or Q86), other specified

number 2011/195-31/2.

permission

was

with

obtained the

from

registration

congenital malformation syndromes affecting multiple organ systems (743.0/755/756.0/756.7/756.8/757.1/

RESULTS

758.6/759.8 or Q87), other congenital malformations not classified elsewhere (759.0 to 759.9 or Q89), or

Among 2,665,542 individuals included in the study,

chromosomal abnormalities (758.0 to 758.9 or Q90 to

156,879 (5.9%) were born preterm; 5.14% were

Q99). Children with a diagnosis of patent ductus

moderately preterm, 0.56% very preterm, and 0.18%

arteriosus (747A or Q25.0) were not excluded from

extremely

our analysis because this condition is very common

individuals were more often low birth weight for

after preterm birth and is a possible mediator of HF.

gestational age than individuals born at term.

By using the Multi-Generation Register, it was

Mothers of preterm individuals were more likely to be

possible to trace the registered father for almost 99% of

younger (#19 years of age) or older ($35 years of age),

individuals in the cohort. This approach enabled a

to have lower levels of education, to be smokers, and

search for both maternal and paternal diagnoses of HF

of non-Nordic origin. Maternal pregnancy complica-

or ischemic heart disease or death from HF or ischemic

tions and multiple pregnancies were more common in

heart disease in the National Patient Register and Cause

women with preterm births.

preterm

(Online

Table

2).

Preterm

of Death Register, using the aforementioned ICD-9

During follow-up (beginning at 1 year of age),

and ICD-10 codes plus the earlier ICD version 8 codes

there were 501 cases of HF. Three of these cases were

for HF (428) and ischemic heart disease (410 to 414).

deaths caused by HF. Total time of follow-up was

Carr et al.

JACC VOL. 69, NO. 21, 2017 MAY 30, 2017:2634–42

34.8 million person-years, yielding an incidence of 1.4 per 100,000 person-years. After exclusion of

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Preterm Birth and Risk of HF

T A B L E 1 Cohort Characteristics in Relation to Outcome: Children Born in Sweden

1987–2012, Follow-Up From 1 Yr of Age

52,512 individuals born with malformations (as specified in the Patients and Methods section), there were 305 cases of HF in 34.2 million person-years of

Total

follow-up (incidence 0.89 per 100,000 person-years).

All subjects

The median individual time of follow-up for all

Subject characteristics

subjects was 13.1 years (IQR: 6.1 to 20.1 years). Cohort characteristics in relation to outcome are presented in Table 1. Individuals diagnosed with HF

%

2,665,542 100.0

No. of Incidence Cases Rate*

501

Unadjusted IRR (95% CI) for HF

1.44



Sex Female

1,296,690 48.6

Male

1,368,852

211

1.25

1.00 (reference)

51.4

290

1.62

1.30 (1.09–1.56)

Birth period

were more often male than the healthy population.

1987–1995

1,009,608

37.9

381

1.77

1.72 (1.25–2.35)

Mothers of children later diagnosed with HF were

1996–2003

711,370

26.7

77

0.84

0.81 (0.56–1.18)

2004–2012

944,564

35.4

43

1.03

1.00 (reference)

52,512

1.98

196

30.7

34.5 (28.8–41.2)

2,613,030 98.0

305

0.89

1.00 (reference)

more often smokers and had lower levels of education. Maternal and paternal HF or ischemic heart disease was also more frequent in subjects with HF. PRETERM BIRTH AND RISK OF HF. Numbers and

Malformations Yes No Patent ductus arteriosus

incidence rates of HF in relation to gestational age

Yes

8,840

0.33

45

43.6

33.2 (24.4–45.1)

at birth are presented in Table 2. Incidence rates of

No

2,656,702

99.7

456

1.31

1.00 (reference)

HF were inversely related to gestational age at birth. Preterm birth was associated with an increased risk

Maternal and pregnancy characteristics Age

of HF across all 3 categories of prematurity, and risks

#19 yrs

38,255

1.44

12

2.15

1.39 (0.78–2.50)

increased with decreasing gestational age.

20–24 yrs

389,956

14.6

85

1.46

0.95 (0.73–1.22)

25–29 yrs

861,936

32.3

187

1.55

1.00 (reference)

ital malformations and adjustment for maternal

30–34 yrs

868,124

32.6

143

1.34

0.87 (0.70–1.08)

35–39 yrs

415,752

15.6

54

1.15

0.75 (0.55–1.01)

characteristics, subject sex, birth period, and birth

$40 yrs

91,519

3.43

20

2.01

1.30 (0.82–2.07) 1.75 (1.34–2.29)

After exclusion of individuals with major congen-

weight for gestational age, the risk of HF was 17 times

Education

higher in subjects born extremely preterm, and 3.6

#9 yrs

264,007

10.0

76

2.17

times higher in subjects born very preterm, compared

10–12 yrs

1,203,184

45.6

245

1.45

1.17 (0.97–1.42)

with subjects born at term (Table 2). Additional

$13 yrs

1,174,185

44.5

176

1.24

1.00 (reference)





adjustment for parental cardiovascular disease only minimally attenuated relative risks for HF. Adjusting

Missing data Nonsmoker

for maternal smoking habits did not alter the

Smoker

described associations (Online Table 3). There was no

Missing data

significant increase in risk of HF for subjects born

Country of birth

moderately preterm in the adjusted models. The median age at diagnosis of HF was 16.5 years (IQR: 5.2 to 19.7 years). Online Table 1 displays agespecific incidence rates for HF in relation to gestational age at birth. Incidence rates dropped after the first 5 years of life and then rose again after 16 years of age. Subjects born before 32 weeks of gestation had

24,166

4

Smoking habits (at first antenatal visit)

Sweden Other Nordic country Other Missing data

2,152,861

85.5

361

1.36

1.00 (reference)

366,709

14.6

102

1.66

1.22 (0.98–1.52)

38



– 1.00 (reference)

145,972 2,194,530

82.7

418

1.41

71,440

2.69

19

1.75

1.11 (0.85–1.44)

387,934

14.6

62

1.56

1.23 (0.78–1.95)





11,638

2

Hypertensive disease No

2,572,282

96.5

484

1.44

1.00 (reference)

Hypertension

16,310

0.61

2

1.02

0.71 (0.18–2.83)

Preeclampsia

76,950

2.89

15

1.54

1.07 (0.64–1.79)

2,630,853

the highest incidence rates of HF across all age cate-

Diabetes

gories. The same pattern was seen after excluding

No

98.7

498

1.45

1.00 (reference)

subjects born with malformations.

Diabetes mellitus

10,666 0.40

1

0.71

0.49 (0.12–1.95)

Gestational diabetes

24,023 0.90

2

0.76

0.53 (0.07–3.76)

17

1.88

1.32 (0.81–2.14)

BIRTH WEIGHT FOR GESTATIONAL AGE AND RISK OF HF. We also found an association between low

Multiple pregnancy

71,997

Maternal or paternal HF or ischemic heart disease

birth weight for gestational age and increased risk of

Maternal

HF (Table 3). Compared with infants born with

Paternal

65,682

appropriate birth weight for gestational age, those

Missing data

21,058

born very small for gestational age (>2 SDs below the mean) had a 3-fold risk of subsequent HF in the unadjusted analysis. After excluding subjects with

2.70

17,981 0.67 2.47

16

4.61

3.28 (1.99–5.40)

24

1.90

1.34 (0.89–2.03)







*Events per 100,000 person-yrs. CI ¼ confidence interval; HF ¼ heart failure; IRR ¼ incidence rate ratio.

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Preterm Birth and Risk of HF

T A B L E 2 Associations Between Gestational Age at Birth and Incident HF: Unadjusted and Adjusted IRRs (95% CIs) for Incident HF in

Relation to Gestational Age at Birth

N

No. of Events

Incidence Rate*

Unadjusted IRR (95% CI)

Adjusted Model 1: IRR (95%CI)†

Adjusted Model 2: IRR (95% CI)‡

All subjects, N ¼ 2,665,542 Gestational age at birth <28 weeks

4,845

11

20.1

15.0 (8.25–27.3)

13.0 (7.08–23.8)

12.9 (7.06–23.7)

28–31 weeks

14,951

9

4.71

3.52 (1.82–6.80)

2.60 (1.33–5.09)

2.60 (1.33–5.08)

137,083

42

2.32

1.73 (1.26–2.38)

1.54 (1.11–2.12)

1.54 (1.11–2.12)

2,508,663

439

1.34

1.00 (reference)

1.00 (reference)

1.00 (reference)

17.0 (7.96–36.3)

32–36 weeks $37 weeks

Subjects with malformations excluded, n ¼ 2,613,030 Gestational age at birth <28 weeks

4,219

7

14.2

16.8 (7.95–35.7)

17.1 (8.00–36.4)

28–31 weeks

13,656

6

3.38

4.01 (1.79–9.01)

3.57 (1.57–8.11)

3.58 (1.57–8.14)

32–36 weeks

131,522

21

1.20

1.43 (0.92–2.23)

1.36 (0.87–2.12)

1.36 (0.87–2.13)

2,463,328

271

0.84

1.00 (reference)

1.00 (reference)

1.00 (reference)

$37 weeks

*Events per 100,000 person-yrs. †Model 1: adjusted for maternal age and education, subjects’ period of birth, attained age during follow-up, sex, and birth weight for gestational age. ‡Model 2: in addition to the factors noted in model 1, also adjusted for maternal or paternal HF or ischemic heart disease. Abbreviations as in Table 1.

malformations and taking maternal characteristics

pressure may cause organ damage such as left ven-

and gestational age into account in the adjusted

tricular hypertrophy (31). Thus, it is plausible that an

models, this association was weakened and no longer

elevation of blood pressure may contribute to the

significant. There was no indication of confounding

increased risk of HF observed in preterm individuals

by parental cardiovascular disease.

in our study.

DISCUSSION

adults (32) but comprises a very small proportion of

Ischemic heart disease is a major cause of HF in HF in children and adolescents (15,33). Thus far, there

PRINCIPAL

FINDINGS. This

registry-based cohort

study of >2.6 million children and young adults

have been no data confirming a link between preterm birth and ischemic heart disease (6,34,35). In the

found that preterm birth was associated with an

present study, individuals with ischemic heart dis-

increased risk of incident HF, also after adjustment

ease as first event were censored and no longer

for birth weight for gestational age and potential

contributed risk time in the study. Thus, ischemic

confounders. The RR was inversely related to gesta-

heart disease is an unlikely explanation for the

tional age at birth (Central Illustration). Individuals

observed association between preterm birth and HF.

born extremely preterm and very preterm faced a 17-

Instead, cardiomyopathies, including the diagnosti-

fold and >3-fold increased risk of HF, respectively; corresponding risk was not significantly increased for

cally broad “idiopathic dilated,” are considered a principal cause of HF in the younger population

those born moderately preterm. A very low birth

(15,33). In individuals born preterm, such heart mus-

weight for gestational age (>2 SDs below the mean)

cle disease could be the result of cardiac remodeling

was also associated with an increased risk of HF, but

after preterm birth.

this risk increase was not significant after adjustment for potential confounding factors. POTENTIAL

MECHANISMS. The

The current understanding of cardiac development is that cardiomyocytes proliferate until late

by

gestation and switch to an adult hypertrophic

which preterm birth may influence subsequent risk of

mechanisms

growth mode shortly after birth (36–38). Animal

HF in childhood and young adulthood remain elusive.

models show that the immature cardiomyocytes of

A review of existing evidence concluded that in-

the preterm heart adapt to extrauterine conditions

dividuals born preterm have slightly higher resting

through structural remodeling, which may have an

systolic blood pressure in early adulthood, which may

impact on future cardiac function (16,17). In a small

increase their risk of developing hypertension (4,5).

echocardiographic study of preterm infants, there

Hypertension is, in turn, 1 of the most important

were signs of delay in maturation of the myocardium

risk factors for developing HF in adults, also in

at 28 days of age (18). The same study found signs of

the

absence of ischemic heart disease (30,31).

left ventricular diastolic dysfunction and greater

In childhood, even mild, untreated elevation of blood

dependence on atrial contraction in preterm infants.

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Preterm Birth and Risk of HF

T A B L E 3 Associations Between Birth Weight for Gestational and Incident HF: Crude and Adjusted IRRs (95% CIs) for Incident HF in

Relation to Birth Weight for Gestational Age

N

No. of Events

Incidence Rate*

Unadjusted IRR (95% CI)

Adjusted Model 1: IRR (95% CI)†

Adjusted Model 2: IRR (95% CI)‡

All subjects, N ¼ 2,665,542 Birth weight for gestational age Very small Small Appropriate Large Very large

73,937

44

4.33

3.36 (2.45–4.61)

2.69 (1.94–3.73)

2.66 (1.92–3.70)

366,036

87

1.80

1.40 (1.10–1.78)

1.31 (1.03–1.67)

1.25 (0.98–1.60)

1,794,551

301

1.29

1.00 (reference)

1.00 (reference)

1.00 (reference)

338,333

56

1.27

0.99 (0.74–1.31)

1.00 (0.75–1.33)

1.00 (0.75–1.34)

92,685

13

1.09

0.84 (0.48–1.47)

0.84 (0.48–1.47)

0.84 (0.48–1.47)

Subjects with malformations excluded, n ¼ 2,613,030 Birth weight for gestational age Very small

70,378

17

1.75

2.07 (1.26–3.40)

1.61 (0.97–2.68)

1.59 (0.95–2.65)

357,453

48

1.02

1.20 (0.88–1.65)

1.13 (0.82–1.55)

1.06 (0.76–1.47)

1,762,768

194

0.84

1.00 (reference)

1.00 (reference)

1.00 (reference)

Large

332,025

40

0.92

1.09 (0.78–1.54)

1.11 (0.79–1.56)

1.12 (0.79–1.57)

Very large

90,406

6

0.51

0.61 (0.27–1.37)

0.62 (0.28–1.40)

0.62 (0.27–1.40)

Small Appropriate

*Events per 100,000 person-yrs. †Model 1: adjusted for maternal age and education, subjects’ period of birth, attained age during follow-up, sex, and birth weight for gestational age. ‡Model 2: in addition to the factors noted in model 1, also adjusted for maternal or paternal HF or ischemic heart disease. Abbreviations as in Table 1.

In addition to the major circulatory transition that

(40). We speculate that such alterations of cardiac

occurs at birth, the preterm heart is often exposed to

function in preterm individuals may be a conse-

conditions that increase cardiac workload (e.g., pat-

quence of the combination of interrupted normal

ent ductus arteriosus), leading to important left-to-

cardiac development and postnatal exposure to

right shunting and bronchopulmonary disease with

circulatory challenges, and HF could ultimately be

the risk of pulmonary hypertension (39). A cardiac

an expression of this.

imaging study of preterm infants found that patent ductus arteriosus was associated with significantly

STUDY STRENGTHS. Strengths of the current study

increased end-diastolic volumes and increased left

include the very large cohort and the registry-based

ventricular mass (19). However, it is unclear to what

nondifferential follow-up. Sufficient statistical po-

extent such changes are reversed after ductal

wer allowed us to examine the risk of HF even among

closure.

extremely

preterm

infants,

although

they

only

Evidence of modulation of cardiac structure and

comprised 0.18% of our cohort. Dividing gestational

function has also been found in older survivors of

age into 4 categories also enabled us to show a strong

preterm birth. One study included 102 individuals

dose–response relationship between low gestational

born preterm who underwent cardiovascular mag-

age at birth and later HF. We were able to control for

netic resonance imaging at 20 to 39 years of age;

many confounding factors, including maternal and

they were compared with control subjects born at

pregnancy characteristics, heritability of heart dis-

term (20). Ventricular mass in young adulthood

ease, and birth weight for gestational age. We had

increased with decreasing gestational age at birth.

information

Higher

in-

including or excluding children with malformations

dividuals could not alone explain this finding, as the

yielded essentially the same results among in-

increase in ventricular mass was disproportionate

dividuals born extremely preterm and very preterm.

relative to any elevation in blood pressure. There

The National Patient Register and Cause of Death

were no observable differences in left ventricular

Register were used to ascertain HF. After excluding

ejection fraction between the 2 groups, but both

subjects born with congenital malformations, we

stroke volume and end-diastolic volume were lower

found an incidence of 0.88 per 100,000 person-years,

in

in-

which is almost identical to that of a British-Irish

dividuals also had reduced diastolic myocardial

study (0.87 per 100,000 person-years) (14). The val-

relaxation. Moreover, their right ventricular function

idity of the HF diagnosis is high in Swedish registers,

was compromised, and 6% had a right ventricular

with a positive predictive value of 82% and even 95%

ejection fraction below clinical reference values

for those with a primary diagnosis of HF (41).

systolic

individuals

blood

born

pressure

preterm.

in

preterm

Preterm-born

on

congenital

malformations,

and

2639

2640

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JACC VOL. 69, NO. 21, 2017 MAY 30, 2017:2634–42

Preterm Birth and Risk of HF

C E N T R A L IL LU ST R A T I O N Risk of HF in Childhood and Young Adult Age in Relation to Gestational Age at Birth

Carr, H. et al. J Am Coll Cardiol. 2017;69(21):2634–42.

Subjects with malformations excluded, n ¼ 2,613,030. Incidence rate ratios (95% confidence intervals) adjusted for maternal age and education, subjects’ periods of birth, attained age during follow-up, sex, birth weight for gestational age, and maternal and paternal cardiovascular disease. HF ¼ heart failure.

STUDY LIMITATIONS. The limitations of our study are

effect of prematurity. We attempted to investigate

typical for registry-based research. Children born at

this topic further by looking closer at age at diagnosis,

low gestational age are generally subject to closer

and we found that the excess incidence of HF in those

medical follow-up, especially during their first years of

born very or extremely preterm was higher at 1 to 5

life. Thus, we cannot rule out that surveillance bias has

years of age compared with later. This outcome could

influenced our results. To avoid measuring HF as a

also be explained by those extravulnerable to disease,

direct complication in the neonatal period, all in-

having already developed HF by the time they reach

dividuals diagnosed with HF before 1 year of age were

the age of the expected increase in incidence (i.e.,

excluded. We were unable to investigate if and how a

depletion of susceptible effect). Another possibility is

hemodynamically significant patent ductus arteriosus

that subjects born in earlier birth years, thus

and its treatment relate to risk of later HF because of

contributing longer follow-up, are not representative

the low number of HF cases in the lowest gestational

of more recent preterm births. In summary, given the

ages and the probable underreporting of patent ductus

age profile of our cohort, this study captured effects

arteriosus

of prematurity in childhood and adolescence but not

diagnosis

in

the

national

registries,

compared with other prospective national cohorts

effects later in adulthood.

(42). The same limitation applies to the use of ante-

Our results show a strong association between

natal corticosteroids, diagnosis of bronchopulmonary

gestational age and risk of HF. However, the total

dysplasia, and duration of mechanical ventilation,

number of cases of HF in our material is small (501 cases

which may all be factors that are potential mediators of

in >2.6 million individuals), with only 11 cases among

the association between preterm birth and later risk of

those born extremely preterm. Any minor change in

HF.

the number of cases would thus influence effect size.

HF can be difficult to diagnose in a young patient,

The great risk increase for HF we have observed in the

and reduced cardiac function may remain silent and

most preterm subjects may be decreased but not easily

unreported for a long time (13,43). If this is the case,

silenced by such alterations. Also, we have excluded

our findings may be a late reflection of a more direct

all cases of HF before 1 year of age (n ¼ 753), which

Carr et al.

JACC VOL. 69, NO. 21, 2017 MAY 30, 2017:2634–42

Preterm Birth and Risk of HF

could have influenced the association between pre-

cardiac health in survivors of extremely and very

term birth and HF. Longitudinal follow-up would bring

preterm birth.

us closer to the true nature of this relationship, but as most survivors of extremely preterm birth are still

ADDRESS FOR CORRESPONDENCE: Dr. Hanna Carr,

young, this scenario will not be possible for some time

Clinical Epidemiology Unit, T2, Karolinska University

yet. Furthermore, the outpatient section of the Na-

Hospital, Solna, 171 76 Stockholm, Sweden. E-mail:

tional Patient Register was not established until 2001,

[email protected].

which further limited our possibility of observing patients over time or investigating underlying causes

PERSPECTIVES

of HF in this particular cohort (23).

CONCLUSIONS

COMPETENCY IN MEDICAL KNOWLEDGE: Survivors of

This study found a strong association between

cardiovascular mortality in young adulthood than those born at

preterm birth and risk of incident HF in children and

term. The relationship between gestational age also applies to the

young adults. The increase in risk was inversely

risk of developing HF.

preterm birth are at higher risk of developing hypertension and

related to gestational age at birth, although absolute risks were low. Considering the rising number of individuals surviving preterm birth and the potential consequences of early onset of reduced cardiac function, the problem may grow with time. There

TRANSLATIONAL OUTLOOK: Further research is needed to elucidate the mechanisms compromising cardiac function after preterm birth and evaluate interventions to improve long-term cardiovascular health in these individuals.

may be a need for closer follow-up and assessment of

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KEY WORDS cardiovascular disease, epidemiology, neonatology, pediatrics, risk factor

A PPE NDI X For supplemental tables, please see the online version of this article.