| Literature DB >> 34767193 |
Wen-Wen Zhang1, Yong-Hui Yu2, Xiao-Yu Dong3, Simmy Reddy4.
Abstract
BACKGROUND: There is a paucity of studies conducted in China on the outcomes of all live-birth extremely premature infants (EPIs) and there is no unified recommendation on the active treatment of the minimum gestational age in the field of perinatal medicine in China. We aimed to investigate the current treatment situation of EPIs and to provide evidence for formulating reasonable treatment recommendations.Entities:
Keywords: Active treatment; Extremely premature; Infants; Mortality rate; Withdrawal of care
Mesh:
Year: 2021 PMID: 34767193 PMCID: PMC8761149 DOI: 10.1007/s12519-021-00481-6
Source DB: PubMed Journal: World J Pediatr Impact factor: 2.764
Fig. 1Flowchart of study population. EPIs extremely premature infants, DR delivery room, NICU neonatal intensive care unit
Comparing basic characters of extremely premature infants between active treatment and care withdrawal (n = 1163)
| Variables | Care withdrawal ( | Active treatment ( | ||
|---|---|---|---|---|
| GA (wk), M (P25-P75) | 26 (25, 26.7) | 27 (26.4, 27.4) | − 13.153 | < 0.001 |
| 24+0–24+6, | 206 (23.9) | 9 (3.0) | ||
| 25+0–25+6, | 246 (28.5) | 25 (8.3) | ||
| 26+0–26+6, | 221 (25.6) | 121 (40.2) | ||
| 27+0–27+6, | 189 (21.9) | 146 (48.5) | ||
| BW (g), M (P25-P75) | 800 (670, 930) | 900 (790, 1060) | − 8.267 | < 0.001 |
| 500–599, | 111 (12.9) | 14 (4.7) | ||
| 600–699, | 147 (17.1) | 23 (7.6) | ||
| 700–799, | 163 (18.9) | 40 (13.3) | ||
| 800–899, | 179 (20.8) | 60 (19.9) | ||
| 900–999, | 128 (14.8) | 66 (21.9) | ||
| ≥ 1000, | 134 (15.5) | 98 (32.6) | ||
| Male, | 471 (54.6) | 180 (59.8) | 2.411 | 0.121 |
GA gestational age, BW birth weight
Population attributable risk percentage of withdrawing care
| Variables | Death rate (%) | RR (95% CI) | Pe | PAR% | |
|---|---|---|---|---|---|
| Care withdrawal, 862/862 (100) | Active treatment, 60/301 (19.9) | ||||
| GA (wk) | |||||
| 24+0–24+6 | 206/206 (100) | 3/9 (33.3) | 3.000 (1.191, 7.558) | 0.986 | 66.4 |
| 25+0–25+6 | 246/246 (100) | 4/25 (16.0) | 6.250 (2.546, 15.344) | 0.984 | 83.8 |
| 26+0–26+6 | 221/221 (100) | 25/121 (20.7) | 4.840 (3.414, 6.863) | 0.898 | 77.5 |
| 27+0–27+6 | 189/189 (100) | 28/146 (19.2) | 5.214 (3.737, 7.275) | 0.871 | 78.6 |
| BW (g) | |||||
| 500–599 | 111/111 (100) | 4/14 (28.5) | 3.500 (1.529, 8.012) | 0.965 | 70.7 |
| 600–699 | 147/147 (100) | 6/23 (26.1) | 3.833 (1.927, 7.627) | 0.961 | 73.1 |
| 700–799 | 163/163 (100) | 9/40 (22.5) | 4.444 (2.501, 7.900) | 0.948 | 76.6 |
| 800–899 | 179/179 (100) | 16/60 (26.7) | 3.750 (2.465, 5.705) | 0.918 | 71.6 |
| 900–999 | 128/128 (100) | 10/66 (15.2) | 6.600 (3.729, 11.681) | 0.928 | 83.9 |
| ≥ 1000 | 134/134 (100) | 15/98 (15.3) | 6.533 (4.101, 10.409) | 0.899 | 83.3 |
GA gestational age, BW birth weight, RR relative risk, CI confidence interval, Pe proportion of exposed persons in the population, PAR population attributable risk. PAR% = pe (RR-1)/[pe (RR-1) + 1] × 100%
Changes in survival rates and causes of death in two time periods
| Modes of outcome | 2010–2015 | 2016–2019 | ||
|---|---|---|---|---|
| Survival ( | 66 (13.4) | 175 (26.1) | 28.025 | < 0.001 |
| IRF ( | 6 (1.2) | 3 (0.4) | 2.189 | 0.139 |
| PNI ( | 385 (78.1) | 455 (67.9) | 14.681 | < 0.001 |
| ROC ( | 6 (1.2) | 4 (0.6) | 1.281 | 0.258 |
| SEC ( | 19 (3.9) | 3 (0.4) | 17.755 | < 0.001 |
| MIC ( | 11 (2.2) | 30 (4.5) | 4.214 | 0.040 |
Values are n (%). IRF initial resuscitation failure, PNI primary nonintervention, ROC redirection of care, SEC socio-economic considerations, MIC maximal intensive care
Fig. 2Kaplan–Meier survival estimates of different gestational age stratification