Abstract
Background: Bronchopulmonary dysplasia (BPD) has multifactorial origins and is characterized by distorted physiological lung development. The impact of nutrition on the incidence of BPD is less studied so far.
Methods: A retrospective single center analysis was performed on n = 207 preterm infants <1,000 g and <32 weeks of gestation without severe gastrointestinal complications to assess the impact of variations in nutritional supply during the first 2 weeks of life on the pulmonary outcome. Infants were grouped into no/mild and moderate/severe BPD to separate minor and major limitations in lung function.
Results: After risk adjustment for gestational age, birth weight, sex, multiples, and antenatal steroids, a reduced total caloric intake and carbohydrate supply as the dominant energy source during the first 2 weeks of life prevailed statistically significant in infants developing moderate/severe BPD (p < 0.05). Enteral nutritional supply was increased at a slower rate with prolonged need for parenteral nutrition in the moderate/severe BPD group while breast milk provision and objective criteria of feeding intolerance were equally distributed in both groups.
Conclusion: Early high caloric intake is correlated with a better pulmonary outcome in preterm infants <1,000 g. Our results are in line with the known strong impact of nutrient supply on somatic growth and psychomotor development. Our data encourage paying special attention to further decipher the ideal nutritional requirements for unrestricted lung development and promoting progressive enteral nutrition in the absence of objective criteria of feeding intolerance.
Keywords: chronic lung disease (CLD), bronchopulmonary dysplasia (BPD), preterm infant, nutrition, caloric intake, enteral supply, feeding intolerance, low birth weight infant
Introduction
Bronchopulmonary dysplasia (BPD) is a chronic lung disease of the preterm infant characterized by distorted physiological lung growth (1, 2). The restrictions in pulmonary function are associated with long-term respiratory illnesses. Furthermore, BPD predisposes for disturbance of further somatic growth and psychomotor development (3, 4).
Inflammatory processes in the immature lung caused by mechanical ventilation and oxygen toxicity are the main contributors to the disease (1). Pre- and postnatal infections and alterations in the microbiome in the lung contribute to the multifactorial etiology (5). Intrauterine growth restriction is one further key risk for BPD identified in many large cohort studies, whereas the impact of differences in postnatal nutritional intake and fluid supply just recently opened new therapeutic options to reduce BPD. Sparse retrospective studies evaluated the impact of early nutritional supply on the pulmonary outcome in more detail: A lower enteral intake of carbohydrates and lipids during the first 14 days of life and a lower total supply of calories and protein during the first 4 weeks of life predisposed preterm infants below 28 weeks of gestation for BPD and retinopathy of prematurity (6–10). Two publications documented the particular benefit of rapid advances in enteral nutrition to reduce the risk of BPD (11, 12). The recent meta-analysis on the benefits of an early rapid increase in enteral nutrition confirms the safety of such an approach (13). Early full enteral feed and the provision of breast milk are suited to promote growth and to reduce the incidence of BPD (14, 15). Furthermore, vitamin A is the best-studied supplement to reduce the risk of BPD although its effect is moderate (16).
This gap of knowledge in the context of BPD pathogenesis is surprising, as the short-term benefits of high caloric nutritional supply on somatic growth and psychomotor development are reasonably well-established. Therefore, current nutritional guidelines and recommendations are mainly derived from the scientific data obtained for motor function measures and cognitive outcomes. The recommended high protein intake and the proper distribution of carbohydrates, proteins, and lipids reduce the risk for lifelong sequelae following preterm birth. The evaluation of lipid composition and adequate supply of micronutrients demonstrates the opportunity to further optimize nutritional supply and the effect size on these outcome measures (17, 18). On the other hand, aggressive nutritional supply in the neonatal intensive care unit (NICU) predisposes for later metabolic disorders in the preterm infant, including atherogenic lipid profiles and higher arterial blood pressures (19, 20). Therefore, known benefits and risks have to be weighed up carefully.
In our retrospective single center cohort study, we aimed to correlate the nutritional supply within the first 2 weeks of life and the occurrence of moderate/severe BPD in more than 200 preterm infants with a birth weight <1,000 g. Datasets were analyzed before and after risk adjustment for important clinical confounders. Further detailing of the nutritional supply was intended to specify the contribution of macronutrients and supplements with known impact on the preterm infant's outcomes.
Patients and Methods
Patient Cohort, Exclusion Criteria, and Ethics Vote
Based on the results from a population-based cohort study in 10 European regions including our region of Hesse, we focused on infants at highest risk for moderate/severe BPD with a birth weight <1,000 g and gestational age <32 + 0 weeks (21). Nutritional datasets were available for all infants born since 2006 within the retrospective NuPre (Nutrition Preterm) cohort study at our tertiary perinatal center (Justus-Liebig-University Gießen, Germany), and all infants born between 2006 and 2017 were included in the analyses. An a priori power calculation was not performed. The aim was to correlate the nutritional supply and the pulmonary outcome. From n = 295 available patients, n = 88 preterm infants were excluded due to death before 36 weeks of gestation (n = 56), severe congenital malformation of the lung, heart, brain, gut, or kidneys (n = 9), presence of severe gastrointestinal complications of necrotizing enterocolitis (NEC, n = 6) or focal intestinal perforation (n = 6), infection with cytomegalovirus (n = 1), and severe aspiration pneumonia (n = 1). Furthermore (n = 9) preterms had to be excluded due to the transfer to another NICU before 36 weeks (n = 6), outborn status (n = 2), or missing data (n = 1). We decided to exclude deaths that were mostly related to death in the delivery room (n = 10), death during unrestricted NICU therapy independent of the pulmonary status (n = 20), decision to cessation of NICU therapy independent of the pulmonary status (n = 18), and severe congenital malformations (n = 6), while only two deaths were due to respiratory failure during intensive care therapy (2/56, 3.6%). Furthermore, infants with NEC were excluded due to the high impact of NEC pathology on BPD.
The study was conducted following the rules of the Declaration of Helsinki of 1975, revised in 2013, and was approved by the ethics committee of the Justus-Liebig-University Gießen (AZ 98/14).
Data Acquisition and Parameter Definition
All parameters were obtained from the electronic data management systems and the paper file records. Data were entered into a SPSS Statistics databank version 23.0.0.3 for Microsoft Windows (IBM, Armonk, NY). Baseline maternal and infant parameters included gestational age, birth weight, sex, birth as singleton, or multiples, and antenatal steroid application. Percentiles for weight, length, and head circumference were derived from the German perinatal registry (22). Small for gestational age (SGA) was defined as birthweight <10th percentile. Antenatal steroids were categorized as no completed course (<48 h), delivery within 7 days after the last application and provision of antenatal steroids more than 7 days before birth. Enteral and parenteral nutritional supply was recorded on the day of birth (day 1) and thereafter on days 3, 5, 7, 10, and 14 of life. The average nutritional supply was chosen as readout to respect the large variations in nutritional advances within the observation period. It was calculated as the mean of the collected time points. The supply was recorded for all nutrients, total caloric, and fluid intake. Total fluid intake comprises parenteral and enteral nutritional supply and all continuous infusions applied with a duration >1 h but no bolus medication. Duration of parenteral nutrition was documented in days. Enteral nutrition was separated by the volume and type of formula, milk enrichment with fortifiers, and the provision of breast milk. The composition of breast milk was calculated based on the scientific data and the expected changes in composition over time (23–27). Changes in formula composition during the study period were supplied by all manufacturers and were integrated into the calculations starting in the first month after the change. Signs for feeding intolerances such as distended abdomen, vomiting, biliary, and hemorrhagic remains in the stomach, hemorrhagic feces, and reduced or paused enteral feed supply were collected from the clinical documentation system, including medical and nursing notes, and aggregated for analyses. Decrease in enteral feed comprises any reduction in quantity compared with the reached level while pause of feeding comprises any cessation of enteral nutrition independent of the duration. Due to the retrospective nature of our study, more precise separations of feeding intolerance were not feasible.
Severity of BPD was determined as no, mild, moderate, or severe BPD according to the NICHD consensus definition that is most widely used within the literature (28). Support with highflow nasal cannula was assessed as continuous positive airway pressure (CPAP) whenever a level of 3-cm H2O or higher was attained and the fraction of oxygen provided by nasal cannula was determined as published (29, 30).
Statistical Analysis
As previously, the statistical analysis was directed toward the separation of infants without/with mild BPD from infants with moderate/severe BPD as the latter infants have relevant limitations in lung function (31). The severity of BPD is highly impacted by gestational age, birth weight, sex, birth as multiple, and the optimized application of antenatal steroids (32). Data were analyzed before and after risk adjustment for these baseline confounders using partial correlation.
Cohort characteristics were compared using Mann–Whitney U and Chi-squared test or Spearman's correlation coefficient. Statistical analysis was performed using partial correlation and IBM SPSS Statistics Version 23.0.0.3 for Microsoft Windows. Statistical significance was accepted at p < 0.05.
Results
Overall, n = 207 infants were available for statistical analysis, of which n = 50 infants (24.2%) did not fulfill any BPD criterion according to the NICHD consensus definition. The majority of n = 94 infants (45.4 %) was assigned to mild BPD which are known to have a lung function close to preterm infants not fulfilling the criteria of BPD (33). The n = 63 infants with moderate or severe BPD and considerably restricted pulmonary outcome constituted about one third (30.4%) of the total cohort (Table 1). Within the study period of more than 10 years, the incidence of BPD did not differ significantly between the years (p = 0.578) in-line with the published literature (34).
Table 1.
No/mild BPD
n = 144 |
Moderate/severe BPD
n = 63 |
p-value | |
---|---|---|---|
Gestational age (weeks) | 27 + 2 (25 + 6; 28 + 5) | 25 + 0 (24 + 2; 26 + 2) | <0.0001 |
Proportion of infants <28 weeks of gestation | 94 (65.3) | 59 (93.7) | 0.005 |
Birth weight (g) | 880 (740; 960) | 680 (530; 790) | <0.0001 |
Proportion of infants <750 g | 42 (29.2) | 42 (66.7) | 0.323 |
Small for gestational age | 31 (21.5) | 19 (30.2) | 0.182 |
Male sex | 51 (35.4) | 37 (58.7) | 0.002 |
Multiple birth | 42 (29.2) | 22 (34.9) | 0.412 |
No antenatal steroids | 24 (16.7) | 9 (14.3) | |
Antenatal steroids ≤ 7 days | 67 (46.5) | 37 (58.7) | |
Antenatal steroids >7 days | 53 (36.8) | 17 (27.0) | 0.924 |
Surfactant therapy | 81 (56.3) | 54 (85.7) | <0.0001 |
Invasive mechanical ventilation (days) | 2 (0; 29) | 21 (0; 187) | <0.0001 |
Ventilatory support (days) | 29 (0; 77) | 62 (13; 165) | 0.001 |
Data are presented as n (%) or median and interquartile range (Q1; Q3), if not indicated differently. p < 0.05, Mann–Whitney-U or Chi-squared test. The statistically significant results are indicated by bold print. Ventilatory support comprises the total duration of all modes of non-invasive ventilation with provision of positive end expiratory pressure of 3-cm H2O or higher.
The severity of BPD was significantly affected by the gestational age, birth weight, and male sex while further risk factors such as being small for gestational age, multiple births, and timing of antenatal steroid application did not reach statistical significance (Table 1). In line with the published literature, infants from the moderate/severe BPD group depended longer on invasive mechanical ventilation as well as non-invasive ventilatory support, and required surfactant therapy more frequently (Table 1) (32).
Reduced Caloric Intake During the First 2 Weeks of Life in Infants With Moderate/Severe Bronchopulmonary Dysplasia
Amounts of total fluid intake, total caloric supply, and carbohydrate and lipid supply were significantly higher prior to risk adjustment in infants belonging to the no/mild BPD group. As an exception, protein intake did not differ between both groups. After risk adjustment reduced total caloric intake and supply with carbohydrates correlated significantly with moderate/severe BPD (Table 2; Figure 1). Additional risk adjustment for SGA did not alter the results (Table 3). A separate investigation of n = 153 infants below 28 weeks of gestation revealed an even more pronounced difference (Table 4), while in the subgroup of infants with a birth weight <750 g (n = 84), the analyses did not reach statistical significance (Table 5). Detailed investigation revealed a trend toward lower total caloric intake and carbohydrate supply at each investigation time point except for day 1. Statistical significance was reached on day 14 (Figure 2).
Table 2.
No/mild BPD
n = 144 |
Moderate/severe BPD
n = 63 |
Before risk adjustment | After risk adjustmenta | |||
---|---|---|---|---|---|---|
rho | p-value | rho | p-value | |||
Total fluid intake (ml/kg) | 129.73 (116.82; 144.08) | 108.81 (91.19; 129.20) | −0.313 | <0.0001 | −0.011 | 0.873 |
Total caloric intake (kcal/kg) | 94.27 (86.53; 100.32) | 85.92 (76.22; 94.96) | −0.269 | <0.0001 | −0.142 | 0.044 |
Carbohydrates (g/kg) | 11.99 (10.88; 12.98) | 10.83 (9.59; 11.58) | −0.341 | <0.0001 | −0.146 | 0.038 |
Protein (g/kg) | 4.26 (3.15; 5.30) | 4.04 (3.23; 5.50) | −0.001 | 0.994 | −0.036 | 0.610 |
Lipids (g/kg) | 3.38 (2.85; 3.84) | 3.04 (2.54; 3.60) | −0.185 | 0.008 | −0.094 | 0.184 |
Iron (mg/kg) | 1.07 (0.44; 1.74) | 0.60 (0.22; 1.20) | −0.249 | <0.0001 | −0.086 | 0.226 |
Zinc (mg/kg) | 0.89 (0.70; 1.03) | 0.80 (0.60; 0.95) | −0.144 | 0.038 | −0.047 | 0.506 |
Vitamin A (mg/kg) | 0.41 (0.16; 0.68) | 0.24 (0.13; 0.67) | −0.064 | 0.360 | −0.039 | 0.584 |
Vitamin E (mg/kg) | 2.36 (1.89; 2.9) | 2.03 (1.55; 2.54) | −0.182 | 0.009 | −0.069 | 0.330 |
Data are presented as median and interquartile range (Q1; Q3). p < 0.05, Spearman's correlation coefficient. The statistically significant results are indicated by bold print.
After risk adjustment for gestational age, birth weight, sex, multiple birth, and antenatal corticosteroid exposure.
Table 3.
No/mild BPD
n = 144 |
Moderate/severe BPD
n = 63 |
Before risk adjustment | After risk adjustmenta | |||
---|---|---|---|---|---|---|
rho | p-value | rho | p-value | |||
Total fluid intake (ml/kg) | 129.73 (116.82; 144.08) | 108.81 (91.19; 129.20) | −0.313 | <0.0001 | −0.007 | 0.927 |
Total caloric intake (kcal/kg) | 94.27 (86.53; 100.32) | 85.92 (76.22; 94.96) | −0.269 | <0.0001 | −0.140 | 0.048 |
Carbohydrates (g/kg) | 11.99 (10.88; 12.98) | 10.83 (9.59; 11.58) | −0.341 | <0.0001 | −0.146 | 0.039 |
Protein (g/kg) | 4.26 (3.15; 5.30) | 4.04 (3.23; 5.50) | −0.001 | 0.994 | −0.027 | 0.700 |
Lipids (g/kg) | 3.38 (2.85; 3.84) | 3.04 (2.54; 3.60) | −0.185 | 0.008 | −0.097 | 0.173 |
Iron (mg/kg) | 1.07 (0.44; 1.74) | 0.60 (0.22; 1.20) | −0.249 | <0.0001 | −0.094 | 0.186 |
Zinc (mg/kg) | 0.89 (0.70; 1.03) | 0.80 (0.60; 0.95) | −0.144 | 0.038 | −0.049 | 0.487 |
Vitamin A (mg/kg) | 0.41 (0.16; 0.68) | 0.24 (0.13; 0.67) | −0.064 | 0.360 | −0.040 | 0.570 |
Vitamin E (mg/kg) | 2.36 (1.89; 2.9) | 2.03 (1.55; 2.54) | −0.182 | 0.009 | −0.074 | 0.295 |
Data are presented as median and interquartile range (Q1; Q3). p < 0.05, Spearman's correlation coefficient. The statistically significant results are indicated by bold print.
After risk adjustment for gestational age, birth weight, sex, multiple birth, antenatal corticosteroid exposure, and SGA.
Table 4.
No/mild BPD
n = 94 |
Moderate/severe BPD
n = 59 |
Before risk adjustment | After risk adjustmenta | |||
---|---|---|---|---|---|---|
rho | p-value | rho | p-value | |||
Total fluid intake (ml/kg) | 72.82 (0.00; 140.10) | 58.84 (26.49; 122.77) | −0.342 | <0.0001 | 0.000 | 0.999 |
Total caloric intake (kcal/kg) | 39.40 (0.00; 80.33) | 40.73 (22.31; 77.06) | −0.286 | <0.0001 | −0.169 | 0.041 |
Carbohydrates (g/kg) | 7.15 (0.00; 12.36) | 7.43 (4.67; 13.76) | −0.375 | 0.008 | −0.210 | 0.011 |
Protein (g/kg) | 1.61 (0.00; 3.41) | 1.56 (0.77; 2.83) | −0.038 | 0.641 | −0.037 | 0.658 |
Lipids (g/kg) | 0.38 (0.00; 2.43) | 0.31 (0.00; 3.20) | −0.148 | 0.068 | −0.063 | 0.447 |
Iron (mg/kg) | 0.15 (0.00; 0.29) | 0.13 (0.00; 0.37) | −0.201 | 0.013 | −0.070 | 0.402 |
Zinc (mg/kg) | 0.11 (0.00; 0.26) | 0.09 (0.00; 0.25) | −0.130 | 0.110 | −0.057 | 0.496 |
Vitamin A (mg/kg) | 0.03 (0.00; 0.06) | 0.03 (0.00; 0.17) | −0.067 | 0.409 | −0.060 | 0.474 |
Vitamin E (mg/kg) | 0.31 (0.00; 0.60) | 0.25 (0.00; 1.55) | −0.152 | 0.060 | −0.066 | 0.428 |
Data are presented as median and interquartile range (Q1; Q3). p < 0.05, Spearman's correlation coefficient. The statistically significant results are indicated by bold print.
After risk adjustment for gestational age, birth weight, sex, multiple birth, and antenatal corticosteroid exposure.
Table 5.
No/mild BPD
n = 42 |
Moderate/severe BPD
n = 42 |
Before risk adjustment | After risk adjustmenta | |||
---|---|---|---|---|---|---|
rho | p-value | rho | p-value | |||
Total fluid intake (ml/kg) | 64.50 (36.04; 104.00) | 56.16 (26.49; 93.00) | −0.314 | 0.004 | −0.118 | 0.305 |
Total caloric intake (kcal/kg) | 40.00 (26.62; 70.85) | 41.33 (23.29; 77.06) | −0.319 | 0.003 | −0.113 | 0.323 |
Carbohydrates (g/kg) | 7.33 (4.56; 11.23) | 7.43 (4.88; 12.08) | −0.344 | 0.001 | −0.098 | 0.395 |
Protein (g/kg) | 1.64 (0.91; 2.99) | 1.57 (0.80; 2,83) | −0.047 | 0.670 | 0.047 | 0.681 |
Lipids (g/kg) | 0.38 (0.00; 2.43) | 0.35 (0.00; 3.20) | −0.248 | 0.023 | −0.105 | 0.360 |
Iron (mg/kg) | 0.17 (0.00; 0.29) | 0.15 (0.00; 0.37) | −0.195 | 0.075 | −0.075 | 0.517 |
Zinc (mg/kg) | 0.11 (0.00; 0.19) | 0.10 (0.00; 0.25) | −0.153 | 0.164 | −0.079 | 0.491 |
Vitamin A (mg/kg) | 0.03 (0.00; 0.06) | 0.03 (0.00; 0.17) | −0.038 | 0.729 | −0.018 | 0.878 |
Vitamin E (mg/kg) | 0.30 (0.00; 0.59) | 0.28 (0.00; 1.55) | −0.174 | 0.114 | −0.110 | 0.336 |
Data are presented as median and interquartile range (Q1; Q3). p < 0.05, Spearman's correlation coefficient. The statistically significant results are indicated by bold print.
After risk adjustment for gestational age, birth weight, sex, multiple birth, and antenatal corticosteroid exposure.
To exclude that the observed effects are due to differences in the provision of vitamins and antioxidants, we evaluated the supplementation with iron, zinc, vitamin A, and vitamin E. Only vitamin A intake did not differ between both groups before risk adjustment. In contrast to the nutritional intake, no statistically significant differences in those supplements were detected after risk adjustment (Tables 2, 3; Figure 1).
Reduced Enteral Nutrition Accountable for Nutritional Deficits in Infants With Moderate/Severe Bronchopulmonary Dysplasia in the First 2 Weeks of Life
Enteral nutritional supply was started in all infants within the first hours of life. Separate consideration of the enteral nutrition supply revealed a trend toward statistically non-significant increases in enteral supply (50.44 ml/kg/day in the no/mild BPD group vs. 20.74 ml/kg/day in the moderate/severe BPD group). In line, the enteral intake of calories, macronutrients and supplements tended to be higher in the no/mild BPD group, however without statistical significance (Table 6). The duration of parenteral nutrition (15 vs. 21 days) was significantly shorter in infants with no/mild BPD (Table 7).
Table 6.
No/mild BPD
n = 144 |
Moderate/severe BPD
n = 63 |
Before risk adjustment | After risk adjustmenta | |||
---|---|---|---|---|---|---|
rho | p-value | rho | p-value | |||
Total fluid intake (ml/kg) | 50.44 (31.10; 69.50) | 20.74 (13.91; 38.19) | −0.459 | <0.0001 | −0.092 | 0.195 |
Total caloric intake (kcal/kg) | 50.30 (35.79; 61.32) | 36.41 (22.93; 53.50) | −0.255 | <0.0001 | −0.073 | 0.306 |
Carbohydrates (g/kg) | 5.65 (3.89; 6.91) | 4.18 (2.28; 5.92) | −0.248 | <0.0001 | −0.067 | 0.347 |
Protein (g/kg) | 2.09 (1.42; 3.16) | 1.66 (0.76; 2.82) | −0.147 | <0.0001 | −0.071 | 0.317 |
Lipids (g/kg) | 2.38 (1.80; 2.89) | 1.88 (1.15; 2.53) | −0.259 | <0.0001 | −0.072 | 0.310 |
Iron (mg/kg) | 1.07 (0.44; 1.74) | 0.60 (0.22; 1.20) | −0.249 | <0.0001 | −0.086 | 0.226 |
Zinc (mg/kg) | 0.89 (0.70; 1.03) | 0.80 (0.60; 0.95) | −0.144 | 0.038 | −0.047 | 0.506 |
Vitamin A (mg/kg) | 0.34 (0.10; 0.63) | 0.16 (0.06; 0.60) | −0.103 | 0.141 | −0.045 | 0.528 |
Vitamin E (mg/kg) | 1.80 (1.29; 1.38) | 1.37 (0.85; 2.05) | −0.226 | 0.001 | −0.075 | 0.289 |
Data are presented as median and interquartile range (Q1; Q3). p < 0.05, Spearman's correlation coefficient. The statistically significant results are indicated by bold print.
After risk adjustment for gestational age, birth weight, sex, multiple birth, and antenatal corticosteroid exposure.
Table 7.
No/mild BPD
n = 144 |
Moderate/severe BPD
n = 63 |
p-value | |
---|---|---|---|
Feeding intolerance day 1–14 | 141 (97.9) | 63 (100.0) | 0.248 |
Feeding intolerance day 1 | 32 (22.2) | 13 (20.6) | 0.799 |
Reduced enteral nutrition, number of cases | 53 (36.8) | 24 (38.1) | 0.860 |
Paused enteral nutrition, number of cases | 5 (3.5) | 3 (4.8) | 0.658 |
Enteral nutrition reduced, total number of events | 65 (7.5) | 37 (9.8) | 0.183 |
Enteral nutrition paused, total number of events | 119 (13.8) | 79 (20.9) | 0.002 |
Breast milk supply, number of cases | 71 (49.3) | 30 (47.6) | 0.823 |
Milk fortification, number of cases | 104 (72.2) | 45 (71.4) | 0.232 |
Duration parenteral nutrition (days) | 15 (13; 18) | 21 (15; 18) | 0.002 |
Data are presented as n (%) besides duration of parenteral nutrition [median and interquartile range (Q1; Q3)]. p < 0.05 (bold print), Mann–Whitney U or Chi-squared test. Reduction or interruption of enteral nutritional supply is considered separately for the total number of events during the first 14 days of life and the incidence in cases during the first 14 days of life.
Finally, the observed differences in enteral supply between both groups were analyzed in the context of breast milk supply, milk fortification, and for the clinical item “feeding intolerance.” Rates of breast milk supply (49.3 vs. 47.6%) and milk fortification (72.2 vs. 71.4%) were equally distributed between both groups. The number of cases fulfilling the objective criterion of feeding intolerance on day 1 (22.2 vs. 20.5%) and within the first 14 days of life (97.9 vs. 100%) did not differ between the two groups, but enteral nutrition was paused more frequently in the moderate/severe BPD group (Table 7).
Taken together, the total energy supply during the first 2 weeks of life prevailed as the main criterion separating infants with better and worse pulmonary prognosis, and the detected differences in enteral nutrition were not due to objective criteria of feeding intolerance.
Discussion
Early and progressive enteral nutritional supply has beneficial effects on somatic growth and psychomotor development. Our results are in line with the sparse literature available on this topic in the context of BPD. Our retrospective analysis demonstrates that even slight differences in early nutritional supply during the first 2 weeks of life can have consequences for the lung. Lower total caloric intake can mainly be attributed to a lower increase in enteral nutrition. Of clinical importance, the overall slower increase in enteral nutrition in the moderate/severe BPD group was not hampered by objectifiable clinical criteria and the prevalence of documented feeding intolerances. Instead, the individual subscribers' subjective assessment of feeding tolerance without a documented objectifiable reason in the patient records was responsible for the differences in enteral nutritional supply. The trend toward increased total fluid intake observed in infants with no/mild BPD is probably due to the fluid volume required to achieve the higher caloric intake. In line with many publications, the immediate period after birth represents an especially vulnerable period for distortion of further lung development that cannot only be assigned to fetal predisposition, infections, mechanical ventilation, and oxygen toxicity (1, 2, 5, 35). The presented datasets extend the rare knowledge on how to optimize nutrition with respect to the pulmonary outcome and enable a clearer view on this important topic (8–10). Adherence to nutrition protocols to reach rapid enteral feeding advances is easily achievable but requires stringency and persistence of each team member.
Our data are not surprising considering the effects of intrauterine growth restriction on the pulmonary outcome. Our data underline that the highly orchestrated process of lung development in the saccular stage needs adequate nutritional supply to meet requirements (1). The comparatively moderate impact of nutrition in our analysis is reflected by the high number of study patients recruited with a resulting p-value of p = 0.044. Vice versa, the slight differences in caloric intake of ~10% during the first 2 weeks of life encourage future studies to address the potential of an even more progressive nutritional approach. Fittingly, one recent study on this topic demonstrated the benefit of reaching a higher caloric intake even in week 3 and 4 of life (36). Our data on the lungs are in line with observations that early progressive nutritional supply and the quality of nutrition have a relevant impact on somatic growth and other important outcome parameters (14, 37, 38). Preserved fluid restriction might have the potential to augment the effect size and should be included in the objective of any future study directed to the improvement of the pulmonary outcome (7). High protein intake is of much higher impact on somatic growth and neurodevelopmental outcome compared with carbohydrates and lipids. High protein intake and vitamin A supplementation are also associated with a better pulmonary outcome (9, 16). Due to this well-known huge impact, special focus is directed toward adequate provision during clinical routine for more than a decade. This explains why the preterms in both study groups received identical amounts of protein and vitamin A during the whole study period. Carbohydrates represent one main source of energy. Their importance for growth and lean body mass has been documented recently (36). Our data provide evidence for the importance of carbohydrates for lung development. The results are supported by recent preclinical data that argue for a much more differentiated consideration of nutrition and BPD (39). Future studies will have to address the specific contribution of single nutrients in analogy to the available data for somatic growth and psychomotor development (40–42).
The limitations of our study comprise the retrospective character of the analysis and the establishment of a correlation which does not allow a causal link. We were not able to include volumes of drug administration into our calculations of total fluid intake, as this was not thoroughly documented in the patient records. The long observation period is another potential source of bias. Yet, despite changes in the ventilatory management over time the BPD rate did not decrease as published before (34). Due to the retrospective nature of our study, baseline confounders including growth restriction were considered but it was not possible to retrieve standardized information on, e.g., the PDA status. On the other side, limitations are outweighed by the number of study participants, the low dropout rate due to missing data (0.3%) and risk adjustment for relevant confounders of BPD. Due to the limited number of achievable prospective randomized controlled multicenter trials, the evaluation of the impact of nutritional supply on the incidence and severity of BPD within clinical registries represents a promising alternative. The huge variations in nutritional supply in different centers and the changes in nutritional supply over time represent excellent preconditions for future registries to highlight the impact of optimized nutritional supply not only for somatic growth and psychomotor development but also for the pulmonary outcome.
Besides, the well-established pulmonary risk factors of immaturity, infection, mechanical ventilation, and oxygen toxicity, the contribution of genetic variations, and the microbiome to BPD have come into focus of research during the recent years. We add further data to another dimension of the complexity and the ever-growing list of risk factors for the immature lung. In summary, our data suggest that early high caloric intake achieved by increased supply of carbohydrates is correlated with a better pulmonary outcome in preterm infants. They encourage paying special attention to decipher the ideal nutritional requirements for unrestricted lung development and promoting rapid enteral feeding advances in the absence of objective criteria of feeding intolerance.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The study was conducted following the rules of the Declaration of Helsinki of 1975, revised in 2013. The study was approved by the Ethics Committee of the Justus-Liebig-University Gießen (AZ 98/14). Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.
Author Contributions
HE initiated the retrospective analysis. TT, AW, JN, SS, and TL collected the data, performed the validity data checks, and provided valuable intellectual contributions. TT and HE drafted the manuscript and prepared the figures and tables. K-PZ and GE revised the manuscript for important content. All authors have read and approved the final version of the manuscript.
Funding
This work was supported by von-Behring-Röntgen Stiftung (63-0009) and Clinical Research Unit KFO 309-2. Datasets are deposited in the DZL data warehouse (https://dzl.de/en/dzl-data-warehouse/).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We gratefully acknowledge the reliable data documentation during routine care by the staff from the NICU at the perinatal center Gießen.
References
- 1.Shahzad T, Radajewski S, Chao C-M, Bellusci S, Ehrhardt H. Pathogenesis of bronchopulmonary dysplasia: when inflammation meets organ development. Mol Cell Pediatr. (2016) 3:23. 10.1186/s40348-016-0051-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Gronbach J, Shahzad T, Radajewski S, Chao C-M, Bellusci S, Morty RE, et al. The potentials and caveats of mesenchymal stromal cell-based therapies in the preterm infant. Stem Cells Int. (2018) 2018:9652897. 10.1155/2018/9652897 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Islam JY, Keller RL, Aschner JL, Hartert TV, Moore PE. Understanding the short- and long-term respiratory outcomes of prematurity and bronchopulmonary dysplasia. Am J Respir Crit Care Med. (2015) 192:134–56. 10.1164/rccm.201412-2142PP [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ehrenkranz RA, Walsh MC, Vohr BR, Jobe AH, Wright LL, Fanaroff AA, et al. Validation of the national institutes of health consensus definition of bronchopulmonary dysplasia. Pediatrics. (2005) 116:1353–60. 10.1542/peds.2005-0249 [DOI] [PubMed] [Google Scholar]
- 5.Staude B, Oehmke F, Lauer T, Behnke J, Göpel W, Schloter M, et al. The microbiome and preterm birth: a change in paradigm with profound implications for pathophysiologic concepts and novel therapeutic strategies. Biomed Res Int. (2018) 2018:7218187. 10.1155/2018/7218187 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Underwood MA, Wedgwood S, Lakshminrusimha S, Steinhorn RH. Somatic growth and the risks of bronchopulmonary dysplasia and pulmonary hypertension: connecting epidemiology and physiology 1. Can J Physiol Pharmacol. (2019) 97:197–205. 10.1139/cjpp-2018-0386 [DOI] [PubMed] [Google Scholar]
- 7.Sharma R, Bhandari V. Fluid balance in early postnatal life: should we keep the babies dry to prevent bronchopulmonary dysplasia? Pediatr Res. (2021). 10.1038/s41390-021-01589-1. [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
- 8.Uberos J, Lardón-Fernández M, Machado-Casas I, Molina-Oya M, Narbona-López E. Nutrition in extremely low birth weight infants: impact on bronchopulmonary dysplasia. Minerva Pediatr. (2016) 68:419–26. [PubMed] [Google Scholar]
- 9.Klevebro S, Westin V, Stoltz Sjöström E, Norman M, Domellöf M, Edstedt Bonamy A-K, et al. Early energy and protein intakes and associations with growth, BPD, and ROP in extremely preterm infants. Clin Nutr. (2019) 38:1289–95. 10.1016/j.clnu.2018.05.012 [DOI] [PubMed] [Google Scholar]
- 10.Malikiwi AI, Lee Y-M, Davies-Tuck M, Wong FY. Postnatal nutritional deficit is an independent predictor of bronchopulmonary dysplasia among extremely premature infants born at or less than 28 weeks gestation. Early Hum Dev. (2019) 131:29–35. 10.1016/j.earlhumdev.2019.02.005 [DOI] [PubMed] [Google Scholar]
- 11.Wemhöner A, Ortner D, Tschirch E, Strasak A, Rüdiger M. Nutrition of preterm infants in relation to bronchopulmonary dysplasia. BMC Pulm Med. (2011) 11:7. 10.1186/1471-2466-11-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Milanesi BG, Lima PA, Villela LD, Martins AS, Gomes-Junior SCS, Moreira MEL, et al. Assessment of early nutritional intake in preterm infants with bronchopulmonary dysplasia: a cohort study. Eur J Pediatr. (2021) 180:1423–30. 10.1007/s00431-020-03912-0 [DOI] [PubMed] [Google Scholar]
- 13.Oddie SJ, Young L, McGuire W. Slow advancement of enteral feed volumes to prevent necrotising enterocolitis in very low birth weight infants. Cochrane Database Syst Rev. (2017) CD001241. 10.1002/14651858.CD001241.pub7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Patel AL, Johnson TJ, Robin B, Bigger HR, Buchanan A, Christian E, et al. Influence of own mother's milk on bronchopulmonary dysplasia and costs. Arch Dis Child Fetal Neonatal Ed. (2017) 102:F256–61. 10.1136/archdischild-2016-310898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Brownell EA, Matson AP, Smith KC, Moore JE, Esposito PA, Lussier MM, et al. Dose-response relationship between donor human milk, mother's own milk, preterm formula, and neonatal growth outcomes. J Pediatr Gastroenterol Nutr. (2018) 67:90–6. 10.1097/MPG.0000000000001959 [DOI] [PubMed] [Google Scholar]
- 16.Araki S, Kato S, Namba F, Ota E. Vitamin A to prevent bronchopulmonary dysplasia in extremely low birth weight infants: a systematic review and meta-analysis. PLoS ONE. (2018) 13:e0207730. 10.1371/journal.pone.0207730 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Brown JVE, Embleton ND, Harding JE, McGuire W. Multi-nutrient fortification of human milk for preterm infants. Cochrane Database Syst Rev. (2016) CD000343. 10.1002/14651858.CD000343.pub3 [DOI] [PubMed] [Google Scholar]
- 18.Sjöström ES, Öhlund I, Ahlsson F, Domellöf M. Intakes of micronutrients are associated with early growth in extremely preterm infants. J Pediatr Gastroenterol Nutr. (2016) 62:885–92. 10.1097/MPG.0000000000001085 [DOI] [PubMed] [Google Scholar]
- 19.Singhal A, Cole TJ, Fewtrell M, Lucas A. Breastmilk feeding and lipoprotein profile in adolescents born preterm: follow-up of a prospective randomised study. Lancet. (2004) 363:1571–8. 10.1016/S0140-6736(04)16198-9 [DOI] [PubMed] [Google Scholar]
- 20.Singhal A, Cole TJ, Lucas A. Early nutrition in preterm infants and later blood pressure: two cohorts after randomised trials. Lancet. (2001) 357:413–9. 10.1016/S0140-6736(00)04004-6 [DOI] [PubMed] [Google Scholar]
- 21.Gortner L, Misselwitz B, Milligan D, Zeitlin J, Kollée L, Boerch K, et al. Rates of bronchopulmonary dysplasia in very preterm neonates in Europe: results from the MOSAIC cohort. Neonatology. (2011) 99:112–7. 10.1159/000313024 [DOI] [PubMed] [Google Scholar]
- 22.Voigt M, Schneider KT, Jährig K. Analyse des Geburtengutes des Jahrgangs 1992 der Bundesrepublik Deutschland. Teil 1: neue perzentilwerte für die körpermasse von neugeborenen. Geburtshilfe Frauenheilkd. (1996) 56:550–8. 10.1055/s-2007-1023283 [DOI] [PubMed] [Google Scholar]
- 23.Aquilio E, Spagnoli R, Seri S, Bottone G, Spennati G. Trace element content in human milk during lactation of preterm newborns. Biol Trace Elem Res. (1996) 51:63–70. 10.1007/BF02790148 [DOI] [PubMed] [Google Scholar]
- 24.Gidrewicz DA, Fenton TR. A systematic review and meta-analysis of the nutrient content of preterm and term breast milk. BMC Pediatr. (2014) 14:216. 10.1186/1471-2431-14-216 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Butte NF, Garza C, Johnson CA, Smith E, Nichols BL. Longitudinal changes in milk composition of mothers delivering preterm and term infants. Early Hum Dev. (1984) 9:153–62. 10.1016/0378-3782(84)90096-3 [DOI] [PubMed] [Google Scholar]
- 26.Fares S, Sethom MM, Kacem S, Ksibi I, Feki M, Jebnoun S, et al. Retinol and alpha-tocopherol in the colostrum of lactating tunisian women delivering prematurely: associations with maternal characteristics. Pediatr Neonatol. (2016) 57:120–6. 10.1016/j.pedneo.2015.06.003 [DOI] [PubMed] [Google Scholar]
- 27.Bauer J. Longitudinal composition of breast milk with extremely preterm infants compared to premature to term milk. In: Zibadi S, Watson RR, editors. Human Health Handbooks, Volume 5: Handbook of Dietary and Nutritional Aspects of Human Breast Milk. Wageningen: Wageningen Academic Publishers; (2013). p. 83–98. [Google Scholar]
- 28.Jobe AH, Bancalari E. Bronchopulmonary dysplasia. Am J Respir Crit Care Med. (2001) 163:1723–9. 10.1164/ajrccm.163.7.2011060 [DOI] [PubMed] [Google Scholar]
- 29.Wilkinson DJ, Andersen CC, Smith K, Holberton J. Pharyngeal pressure with high-flow nasal cannulae in premature infants. J Perinatol. (2008) 28:42–7. 10.1038/sj.jp.7211879 [DOI] [PubMed] [Google Scholar]
- 30.Walsh M, Engle W, Laptook A, Kazzi SNJ, Buchter S, Rasmussen M, et al. Oxygen delivery through nasal cannulae to preterm infants: can practice be improved? Pediatrics. (2005) 116:857–61. 10.1542/peds.2004-2411 [DOI] [PubMed] [Google Scholar]
- 31.Lauer T, Behnke J, Oehmke F, Baecker J, Gentil K, Chakraborty T, et al. Bacterial colonization within the first six weeks of life and pulmonary outcome in preterm infants <1000 g. JCM. (2020) 9:2240. 10.3390/jcm9072240 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Bancalari E, Jain D. Bronchopulmonary dysplasia: 50 years after the original description. Neonatology. (2019) 115:384–91. 10.1159/000497422 [DOI] [PubMed] [Google Scholar]
- 33.Fawke J, Lum S, Kirkby J, Hennessy E, Marlow N, Rowell V, et al. Lung function and respiratory symptoms at 11 years in children born extremely preterm: the EPICure study. Am J Respir Crit Care Med. (2010) 182:237–45. 10.1164/rccm.200912-1806OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Doyle LW, Carse E, Adams A-M, Ranganathan S, Opie G, Cheong JLY. Ventilation in extremely preterm infants and respiratory function at 8 years. N Engl J Med. (2017) 377:329–37. 10.1056/NEJMoa1700827 [DOI] [PubMed] [Google Scholar]
- 35.Behnke J, Windhorst A, Oehmke F, Berthold LD, Zimmer K-P, Waitz M, et al. Preeclampsia was a risk factor for pulmonary interstitial emphysema in preterm infants born ≤ 32 weeks of gestational age. Acta Paediatr. (2021) 110:134–40. 10.1111/apa.15338 [DOI] [PubMed] [Google Scholar]
- 36.Lingwood BE, Al-Theyab N, Eiby YA, Colditz PB, Donovan TJ. Body composition in very preterm infants before discharge is associated with macronutrient intake. Br J Nutr. (2020) 123:800–6. 10.1017/S000711451900343X [DOI] [PubMed] [Google Scholar]
- 37.Maas C, Franz AR, Krogh S von, Arand J, Poets CF. Growth and morbidity of extremely preterm infants after early full enteral nutrition. Arch Dis Child Fetal Neonatal Ed. (2018) 103:F79–81. 10.1136/archdischild-2017-312917 [DOI] [PubMed] [Google Scholar]
- 38.McKenzie BL, Edmonds L, Thomson R, Haszard JJ, Houghton LA. Nutrition practices and predictors of postnatal growth in preterm infants during hospitalization: a longitudinal study. J Pediatr Gastroenterol Nutr. (2018) 66:312–7. 10.1097/MPG.0000000000001747 [DOI] [PubMed] [Google Scholar]
- 39.Heyob KM, Mieth S, Sugar SS, Graf AE, Lallier SW, Britt RD, et al. Maternal high-fat diet alters lung development and function in the offspring. Am J Physiol Lung Cell Mol Physiol. (2019) 317:L167–74. 10.1152/ajplung.00331.2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Cormack BE, Jiang Y, Harding JE, Crowther CA, Bloomfield FH. Relationships between neonatal nutrition and growth to 36 weeks' corrected age in ELBW babies-secondary cohort analysis from the provide trial. Nutrients. (2020) 12:760. 10.3390/nu12030760 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Schneider J, Fischer Fumeaux CJ, Duerden EG, Guo T, Foong J, Graz MB, et al. Nutrient intake in the first two weeks of life and brain growth in preterm neonates. Pediatrics. (2018) 141:e20172169. 10.1542/peds.2017-2169 [DOI] [PubMed] [Google Scholar]
- 42.Cormack BE, Harding JE, Miller SP, Bloomfield FH. The influence of early nutrition on brain growth and neurodevelopment in extremely preterm babies: a narrative review. Nutrients. (2019) 11:2029. 10.3390/nu11092029 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.