Literature DB >> 32988364

Impact of congenital heart disease on outcomes among pediatric patients hospitalized for influenza infection.

Laxmi V Ghimire1, Fu-Sheng Chou2, Anita J Moon-Grady3.   

Abstract

BACKGROUND: Young children and those with chronic medical conditions are at risk for complications of influenza including cardiopulmonary compromise. Here we aim to examine risks of mortality, clinical complications in children with congenital heart disease (CHD) hospitalized for influenza.
METHODS: We analyzed data from in-hospital pediatric patients from 2003, 2006, 2009, 2012 and 2016 using the nationally representative Kids Inpatient Database (KID). We included children 1 year and older and used weighted data to compare the incidence of in-hospital mortality and rates of complications such as respiratory failure, acute kidney injury, need for mechanical ventilation, arrhythmias and myocarditis.
RESULTS: Data from the KID estimated 125,470 children who were admitted with a diagnosis of influenza infection. Out of those, 2174(1.73%) patients had discharge diagnosis of CHD. Children with CHD who required hospitalization for influenza had higher in-hospital mortality (2.0% vs 0.5%), with an adjusted OR (aOR) of 2.8 (95% CI: 1.7-4.5). Additionally, acute respiratory failure and acute kidney failure were more likely among patients with CHD, with aOR of 1.8 (95% CI: 1.5-2.2) and aOR of 2.2 (95% CI: 1.5-3.1), respectively. Similarly, the rate of mechanical ventilatory support was higher in patients with CHD compared to those without, 14.1% vs 5.6%, aOR of 1.9 (95% CI: 1.6-2.3). Median length of hospital stay in children with CHD was longer than those without CHD [4 (IQR: 2-8) days vs. 2 (IQR: 2-4) days]. Outcomes were similar between those with severe vs non-severe CHD.
CONCLUSIONS: Children with CHD who require hospital admission for influenza are at significantly increased risk for in-hospital mortality, morbidities, emphasizing the need to reinforce preventative measures (e.g. vaccination, personal hygiene) in this particularly vulnerable population.

Entities:  

Keywords:  Congenital heart disease; Hospitalization; Influenza; Kids’ inpatient database; Pediatrics

Mesh:

Year:  2020        PMID: 32988364      PMCID: PMC7520971          DOI: 10.1186/s12887-020-02344-x

Source DB:  PubMed          Journal:  BMC Pediatr        ISSN: 1471-2431            Impact factor:   2.125


Background

Influenza infection generally presents as an acute self-limiting illness in healthy children, but it can cause significant morbidity and mortality in high-risk children. The Center for Disease Control and Prevention (CDC) estimated around 500,000 individuals were hospitalized, causing more than 34,000 deaths during the 2018–2019 influenza season [1]. Children <5 years, and <2 years and those with chronic medical conditions are at risk of complications from influenza, including pneumonia and acute respiratory failure. Congenital heart disease (CHD) is prevalent in 1% of the population [2]. These children are at increased risks for complications of influenza and therefore routine annual influenza immunization is strongly recommended in these children. However, there are only a handful of studies in the literature reporting mortality and complications related to influenza among children with chronic diseases [3, 4]. Similarly, there is also very limited information on complications of influenza infection among children with CHD. Here, we report a recent nationwide cross-sectional retrospective study based on the Kids’ Inpatient Database (KID) of the United States to examine risks of mortality, in-hospital complications including respiratory failure, acute kidney injury and need for mechanical ventilation, as well as length of hospital stay as a result of influenza infection among children with CHD.

Methods

Study population and variables

We analyzed data of hospital discharge records of patients with the nationally representative Kids’ Inpatient Database (KID) for 2003, 2006, 2009, 2012 and 2016. The data was compiled by the Agency for Healthcare Research and Quality (AHRQ) and was generated for Healthcare Cost and Utilization Project (HCUP) in collaboration with public and private statewide data organizations. The KID is a stratified, cross-sectional database that includes discharge data for approximately 10% of newborn discharges and 80% of other discharges in the United States. KID is published every 3–4 years and the latest data available is from 2016. Using International Classification of Disease, Ninth and Tenth Revision, Clinical Modification (ICD-9-CM and ICD-10-CM), we identified hospitalized children with CHD, influenza infection, and other variables studied. To include only CHD, we excluded patent ductus arteriosus, single umbilical artery and other anomalies of peripheral vascular system from analysis. Please see Supplementary Table 1 for ICD-9-CM and ICD-10-CM codes used in the manuscript. We included children 1 year and older, excluding the infants(< 1 year) to minimize the confounding effect on the outcome variables, as most of the surgeries for CHD occur during infancy and we also wanted to minimize the effect of patent ductus arteriosus especially on preterm infants, which is minimal after infancy.

Outcome variables

The primary outcome of interest was comparison of in-hospital mortality between those children with influenza infection with and without concomitant CHD. Secondary outcomes were acute respiratory failure, acute kidney injury, need for invasive mechanical ventilation (IMV), non-invasive mechanical ventilation (NIMV), myocarditis, tachyarrhythmias, heart block, sudden cardiac arrest, need for ECMO and length of hospital stay.

Statistical analysis

We performed descriptive and inferential statistics using the KID complex survey design, taking into account for clusters, strata, and weighting. For continuous variables such as age and length of stay, we reported median with interquartile range (IQR). Weight-adjusted Chi-square tests were used for categorical variables and weight-adjusted Wilcoxon signed rank tests for continuous variables as the continuous variables were not evenly distributed. The variables used in the multivariable analysis were carefully selected after rigorous review of the literature. During selection, we were careful to identify variables that had ICD codes that were reliable and consistent. For regression modeling, univariable analyses of each variable of interest were performed first, followed by a multivariable analysis incorporating additional variables (age, sex, race/ethnicity, discharge quarter, year of admission, history of asthma, presence of respiratory and musculoskeletal congenital anomalies, presence of chromosomal anomalies) to determine the effects of covariates and confounding variables on the outcome of interest. We performed logistic regression analysis for the odds ratios (ORs) of the risk of mortality, acute respiratory failure, acute kidney injury and need for mechanical ventilation with and without concomitant CHD. We assessed differences in length of hospital stay by using multiple linear regression analysis. We then performed analysis to compare the risk between severe and non-severe CHD. Severe CHD includes truncus arteriosus, d-transposition of great arteries(d-TGA), double outlet right ventricle(DORV), l-transposition of great arteries(L-TGA), tetralogy of Fallot, hypoplastic left heart syndrome(HLHS), other single ventricles, atrio-ventricular septal defect(AVSD), pulmonary atresia, tricuspid atresia, interrupted aortic arch, total anomalous pulmonary venous return(TAPVR). Every congenital heart disease without ICD codes for severe CHD were included as non-severe CHD. In addition, if a child has a diagnosis of severe CHD and non-severe CHD, they are counted as severe CHD, e.g. if a child has d-transposition of great arteries(d-TGA) and VSD, they are counted as d-TGA and not as VSD. Weights provided by HCUP were used in all analyses to account for the complex sampling design and clustering for the analysis. All statistical analyses were performed using Stata statistical software (version 15.1), R version 3.6.0 [5] and R Studio 1.2 [6]. (http://www.R-project.org) Complex survey design of the KID was accounted for using the survey package [7]. Figures were produced using the ggplot2 and patchwork packages. Tables were generated using the tableone package [8].

Results

The retrieved records based on the inclusion and exclusion criteria estimated 125,470 children who were admitted with a diagnosis of influenza. Of those, 2174 (1.73%) had a diagnosis of CHD. 57,055 (45.5%) were female. Median age of children with influenza was 5 (IQR: 2–11) years. The number of cases were higher in 2009 compared to other years probably due to the H1N1 influenza pandemic during that year. More children were hospitalized in the October to December quarter compared to the other quarters. Hospitalization was more common in younger children compared to the older children and adolescents and this finding was consistent overall all years studied (Fig. 1).
Fig. 1

a. Total influenza hospitalization cases by age. b. Children with CHD who are hospitalized by Influenza infection by age

a. Total influenza hospitalization cases by age. b. Children with CHD who are hospitalized by Influenza infection by age Regarding the chronic medical conditions in the hospitalized children, history of asthma was present in 27.8% of hospitalized children, while only 0.64% of the children had congenital anomalies of the respiratory system. 1.9% of the children had chromosomal anomalies. The overall in-hospital mortality rate for children hospitalized with influenza was 0.54% (n = 687). 5.4% of children had respiratory failure and 4.6% required invasive mechanical ventilation. Median hospitalization length was 2(IQR: 2–4) days. Baseline characteristics of children with influenza are reported in Table 1.
Table 1

Characteristics of pediatric patients hospitalized for influenza infection

VariablesCases, n, (%)
Total influenza cases125,470
Age, years (median)5 (IQR: 2–11)
Female57,055 (45.7%)
Race
 White49,405 (47.7%)
 Black20,821 (20.1%)
 Hispanic23,371 (22.6%)
 Others9907 (9.6%)
Year
 200327,503 (21.9%)
 200611,702 (9.3%)
 200954,487 (43.4%)
 201213,849 (11.0%)
 201617,929 (14.3%)
Discharge quarter
 Jan-Mar36,903 (29.4%)
 Apr-Jun15,719 (12.5%)
 Jul-Sep10,232 (8.2%)
 Oct-Dec62,542 (49.9%)
CHDb2174 (1.73%)
 Severe CHD613 (0.5%)
 Non-severe CHD1561 (1.2%)
Comorbid conditions
 Asthma34,931 (27.8%)
 Congenital respiratory anomalies815 (0.7%)
 Congenital musculoskeletal anomalies1326 (1.1%)
 Chromosomal anomalies2362 (1.9%)
Complications
 Respiratory failure6714 (5.4%)
 Acute kidney injury1534 (1.2%)
 Invasive mechanical ventilation (IMV)5791 (4.6%)
 Non-invasive mechanical ventilation (NIMV)1943 (1.5%)
 Myocarditis199 (0.2%)
 Tachyarrhythmias514 (0.5%)
 Heart block/conduction disorders312 (0.3%)
 Sudden cardiac arrest250 (0.2%)
 ECMOa211 (0.2%)
 In-hospital mortality687 (0.54%)

aExtracorporeal membrane oxygenation

bCHD Congenital heart disease

Characteristics of pediatric patients hospitalized for influenza infection aExtracorporeal membrane oxygenation bCHD Congenital heart disease The children admitted with influenza who have concomitant CHD were younger than those without CHD, median age 3 (IQR: 2–7) years vs 5 (IQR: 2–11) years, P < 0.001. History of asthma was more common in children without CHD [27.9% (n = 34,410) in non-CHD patients vs 24.0% (n = 521) in CHD patients], while congenital anomalies, specifically respiratory anomalies, musculoskeletal anomalies and chromosomal anomalies, were significantly more common in CHD group (Table 2).
Table 2

Comparison of characteristics and in-hospital complications between those with and without CHD

VariablesPresence of CHD
YesNo
Total influenza cases2174123,296
Age, years (median, IQR)3 (2–7)5 (2–11)*
Female977 (44.9%)56,078 (45.8%)
Race
 White858 (45.0%)48,547 (47.8%)
 Black298 (15.6%)20,522 (20.2%)
 Hispanic575 (30.2%)22,796 (22.4%)
 Others174 (9.1%)9733 (9.6%)
Discharge quarter
 Jan-Mar678 (31.3%)36,224 (29.4%)
 Apr-Jun398 (18.3%)15,321 (12.4%)
 Jul-Sep193 (8.9%)10,038 (8.2%)
 Oct-Dec900 (41.5%)61,642 (50.0%)
Comorbid conditions
 Asthma521 (24.0%)34,410 (27.9%)*
 Congenital respiratory anomalies112 (5.1%)704 (0.6%)*
 Congenital musculoskeletal anomalies98 (4.5%)1228 (1.0%)*
 Chromosomal anomalies426 (19.6%)1936 (1.6%)*
Complications
 Respiratory failure267 (12.3%)6447 (5.2%)*
 Acute kidney injury60 (2.8%)1474 (1.2%)*
 Invasive mechanical ventilation (IMV)262 (12.0%)5529 (4.5%)*
 Non-invasive mechanical ventilation (NIMV)67 (3.1%)1877 (1.5%)*
 Myocarditis< 11 (NA)a193 (0.2%)
 Tachyarrhythmias54 (2.5%)460 (0.4%)*
 Heart block/conduction disorders75 (3.4%)238 (0.2%)*
 Sudden cardiac arrest18 (0.8%)232 (0.2%)*
 ECMOa12 (0.6%)199 (0.2%)*
 In-hospital mortality44 (2.0%)643 (0.5%)*

aExtracorporeal membrane oxygenation

CHD: Congenital heart disease

*P-value is < 0.001 for these comparisons

aHealthcare Cost and Utilization Project (HCUP) restricts subjects < 11 to be reported

Comparison of characteristics and in-hospital complications between those with and without CHD aExtracorporeal membrane oxygenation CHD: Congenital heart disease *P-value is < 0.001 for these comparisons aHealthcare Cost and Utilization Project (HCUP) restricts subjects < 11 to be reported Regarding in hospital complications between those with CHD and without CHD, tachyarrhythmias [2.5% (n = 54) vs 0.4% (n = 460), p < 0.001] conduction disorders [3.4% (n = 75) vs 0.2% (n = 238), p < 0.001] and sudden cardiac arrest [0.8% (n = 18) vs 0.2% (n = 232), p < 0.001] were more common in the CHD group. (Table 2). In-hospital mortality was higher in children with CHD 2.0% (n = 44) compared to those without CHD 0.52%(n = 643). (Fig. 2a.) In univariable logistic regression analysis, patients with CHD had increased risk of mortality by 3.9 fold, with an OR of 3.9 (95% CI 2.7–5.7, p < 0.001). We then performed multivariable logistic regression analysis with additional confounders including age, sex, year of admission, race, discharge quarter, the presence of chronic medical conditions specifically asthma, respiratory and chronomosomal anomalies. In this model, we found that patients with CHD had an increased odds of mortality by 2.8 fold, with an adjusted odds ratio (aOR) of 2.8 (95% CI: 1.7–4.5, p < 0.001). In this model, the presence of respiratory and chromosomal congenital anomalies increased risk of mortality (Table 3).
Fig. 2

a. In-hospital mortality rate between those with CHD vs those without CHD. b Rate of acute respiratory failure in those with CHD vs those without, amongst children hospitalized by influenza infection. The differences in mortality and rate of respiratory failure was statistically significant between children hospitalized with influenza with CHD vs those without CHD. Multivariable logistic regression test was used to calculate statistical significance

Table 3

Predictions of mortality in children hospitalized with influenza, on a multivariable logistic regression model

VariablesOdds ratio with 95% CIP-value
CHD2.8 (1.7–4.5)< 0.001
Age1.1 (1.07–1.1)< 0.001
Sex (Female)0.98 (0.8–1.2)0.85
Race
 WhiteReference
 Black0.96 (0.7–1.3)0.79
 Hispanic1.4 (1.1–1.8)0.02
 Others1.4 (1.0–2.0)0.03
Year
 2003Reference
 20061.2 (0.7–2.1)0.42
 20090.92 (0.6–1.3)0.66
 20120.69 (0.4–1.1)0.091
 20160.7 (0.45–1.1)0.14
Discharge quarter
 Jan-MarReference
 Apr-Jun1.6 (1.2–2.2)0.002
 Jul-Sep1.8 (1.3–2.6)< 0.001
 Oct-Dec0.96 (0.7–1.3)0.77
Comorbid conditions
 Asthma0.37 (0.3–0.5)< 0.001
 Congenital respiratory anomalies2.2 (1.1–4.6)0.03
 Congenital musculoskeletal anomalies3.0 (1.8–5.1)< 0.001
 Chromosomal anomalies2.9 (1.9–4.6)< 0.001
a. In-hospital mortality rate between those with CHD vs those without CHD. b Rate of acute respiratory failure in those with CHD vs those without, amongst children hospitalized by influenza infection. The differences in mortality and rate of respiratory failure was statistically significant between children hospitalized with influenza with CHD vs those without CHD. Multivariable logistic regression test was used to calculate statistical significance Predictions of mortality in children hospitalized with influenza, on a multivariable logistic regression model Similarly, we performed univariable and multivariable regression analyses to compare the risk of acute respiratory failure and acute kidney injury in patients with and without CHD. In a multivariable logistic regression model, acute respiratory failure was more common among those with CHD compared to those without CHD, with an aOR of 1.8 (95% CI: 1.5–2.2, p < 0.001) (Fig. 2b, Table 4). In this model, history of asthma, respiratory and chromosomal congenital anomalies increased risk of mortality significantly. The risk of acute kidney injury was also higher in patients with CHD even after adjusting for confounders, with an aOR of 2.2 (95% CI: 1.5–3.1, p < 0.001) (Supplementary Table 2). The rate of mechanical ventilatory support was higher in patients with CHD compared to those without [14.1% vs 5.6%, aOR of 1.9 (95% CI: 1.6–2.3, p < 0.001)] (Supplementary Table 3).
Table 4

Predictions of respiratory failure in children hospitalized with influenza, on a multivariable logistic regression model

VariablesOdds ratio with 95% CIP-value
CHD1.85 (1.5–2.2)< 0.001
Age1.03 (1.03–1.04)< 0.001
Sex (Female)0.95 (0.9–1.1)0.16
Race
 WhiteReference
 Black0.91 (0.8–1.0)0.07
 Hispanic1.0 (0.9–1.1)0.67
 Others1.2 (1.1–1.4)0.005
Year
 2003Reference
 20061.6 (1.2–2.2)0.003
 20091.8 (1.4–2.3)< 0.001
 20121.9 (1.5–2.5)< 0.001
 20163.4 (2.6–4.5)< 0.001
Discharge quarter
 Jan-MarReference
 Apr-Jun1.5 (1.3–1.7)< 0.001
 Jul-Sep1.5 (1.3–1.7)< 0.001
 Oct-Dec1.2 (1.1–1.2)0.005
Comorbid conditions
 Asthma1.1 (1.1–1.2)0.002
 Congenital respiratory anomalies2.5 (1.9–3.4)< 0.001
 Congenital musculoskeletal anomalies2.8 (2.3–3.4)< 0.001
 Chromosomal anomalies2.2 (1.9–2.6)< 0.001
Predictions of respiratory failure in children hospitalized with influenza, on a multivariable logistic regression model Median length of hospital stay in children with CHD was longer than those without CHD [4 (IQR: 2–8) days vs. 2 (IQR: 2–4) days, p < 0.001]. We then divided the CHD group into those with severe CHD and non-severe CHD and performed analysis to compare the incidence of complications between these two groups. We found that most of the major complications were very similar between these groups. (Supplementary Table 4).

Discussion

Using the KID 2003, 2006, 2009, 2012 and 2016, a large national database of more than 125,000 pediatric influenza-associated hospitalizations, we reported the following major findings: 1) presence of CHD increased the risk of in-hospital mortality in children with influenza infection, 2) concomitant CHD was more likely to be associated with acute respiratory failure, acute kidney injury, need for invasive and noninvasive mechanical ventilation, myocarditis and need for ECMO, 3) length of hospital stay was higher in CHD with influenza, and 4) there were no significant differences in primary and secondary outcomes between severe and non-severe CHD. Higher rates of in-hospital all cause mortality in patients with CHD seem reasonable since children with CHD could already have limited cardiac and respiratory reserves and therefore may not tolerate increased cardiorespiratory demand during active infections. Additionally, children who have had thoracotomy could have restrictive lung physiology making them more prone to pulmonary complications compared to otherwise healthy children. Specifically, in those children with CHD, introduction of pro-inflammatory and oxidative mediators by an acute systemic inflammatory response caused by an influenza infection may lead to further comprise in cardiac function [9]. In addition, we also found that the respiratory and cardiac complications are higher in those patients with CHD. These complications may also contribute to overall increased mortality. Another important finding we report is the similarities in the mortality and major hospital complications between those with severe CHD and non-severe CHD. Most of the severe CHD patients would have undergone surgical repair in infancy, and after surgical repair of the lesions, their cardiac hemodynamics probably improved. That potentially is the reason that they are just as vulnerable as those non-severe CHD, but not significantly higher. The cardiovascular complications of influenza have been reported, including myocarditis, arrhythmias, cardiac arrest and death [10]. However, the exact mechanism how influenza infection causes adverse cardiovascular outcomes remains elusive. There is some evidence suggesting that activation of the inflammatory pathways may be responsible for acute myocardial injury and dysfunction [11]. We found that the prevalence of asthma was more common in children without CHD compared to those hospitalized for influenza with CHD (27.9% vs 24%). We are not entirely sure if this will hold true for children who are not hospitalized. Literature lacks large studies reporting association between asthma and CHD. The World Health Organization estimated 5–10% of adults and 20–30% of children are infected with influenza worldwide, resulting in 290,000–650,000 deaths annually [12]. We also know that in the pediatric population, influenza vaccination offers significant protection against severe influenza disease and influenza-related hospitalization [13, 14]. Therefore, annual influenza vaccination for children is recommended to reduce adverse health impacts and to prevent severe complications. However, vaccination coverage for children in the influenza season 2018–2019 was only 62.6% according to the Center for Disease Control and Prevention of the United States [15]. There are very limited data on the vaccination rate for influenza among children with heart diseases including CHD. A recent Israeli study reported 36% vaccination rate among children with heart disease [16]. In a report on influenza-related death of 291 pediatric patients from the 2010–2011 to the 2013–2014 seasons, 30 children had CHD or acquired cardiac disease, only 23% of whom received influenza vaccination [17]. Studies have reported that influenza vaccination has been associated with a reduced risk for all-cause mortality in patients with heart failure or with other cardiovascular disease, emphasizing the importance of influenza vaccination, especially in those with chronic medical conditions including CHD patients [18, 19]. Using the KID, our study provided a larger sample size based on population sampling of hospitalized pediatric patients with influenza, which was the main strength of our study. However, there were multiple limitations with this approach. First, data in the KID were not collected for research, but were for medical coding and billing. Therefore, incorrect or missing information may potentially exist. Second, KID captures only inpatient records, so the findings may not be applicable to the outpatient settings and to those children with chronic cardiac disease who are not hospitalized. Third, there was no information on the accuracy of the diagnosis. This data does not include information on prior influenza vaccination and how influenza cases were confirmed and verified. Moreover, we were not able to study the influence of vaccination status on clinical outcomes using this database. In addition, due to limitation of the database, we could not report details on anatomy and physiology of CHD like the status of residual lesion, whether they have decreased ventricular function, functional status of children and timing of surgical repair or palliation.

Conclusions

In conclusion, our findings indicate that children with influenza infection and a concomitant CHD are at increased risk of in-hospital mortality and adverse clinical outcomes. Vaccination rates in children, especially those with chronic disease conditions such as CHD are lower, despite the evidence that influenza vaccination decreases severity of the illness, mortality and complications in patients with chronic medical conditions. We recommend health care providers, families, and official organizations to work together to increase influenza vaccination rates in all children, especially in those with chronic medical conditions, to prevent morbidity and mortality. Additional file 1: Supplementary Table 1. Variables and corresponding ICD-9-CM and ICD-10-CM codes. Supplementary Table 2. Predictions of acute kidney injury in children hospitalized with influenza, on a multivariable logistic regression model. Supplementary Table 3. Predictions of mechanical ventilation in children hospitalized with influenza, on a multivariable logistic regression model. Supplementary Table 4. Characteristics and complication comparing severe vs non-severe CHD children hospitalized for influenza.
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