| Literature DB >> 31685004 |
Fan Wu1,2, Guosheng Liu3, Zhoushan Feng2, Xiaohua Tan2, Chuanzhong Yang4, Xiaotong Ye4, Yiheng Dai5, Weiyi Liang5, Xiuzhen Ye6, Jing Mo6, Lu Ding7, Benqing Wu7, Hongxiang Chen8, Chiwang Li8, Zhe Zhang9, Xiao Rong9, Wei Shen10, Weimin Huang10, Bingyan Yang11, Junfeng Lv11, Leying Huo12, Huiwen Huang12, Hongping Rao13, Wenkang Yan13, Yong Yang14, Xuejun Ren14, Fangfang Wang15, Dong Liu15, Shiguang Diao16, Xiaoyan Liu16, Qiong Meng17, Yu Wang17, Bin Wang18, Lijuan Zhang18, Yuge Huang19, Dang Ao19, Weizhong Li20, Jieling Chen20, Yanling Chen21, Wei Li21, Zhifeng Chen22, Yueqin Ding22, Xiaoyu Li23, Yuefang Huang23, Niyang Lin24, Yangfan Cai24, Shasha Han1, Ya Jin1, Zhonghe Wan25, Yi Ban25, Bo Bai26, Guanghong Li26, Yuexiu Yan27, Qiliang Cui28.
Abstract
BACKGROUND: An increasing number of extremely preterm (EP) infants have survived worldwide. However, few data have been reported from China. This study was designed to investigate the short-term outcomes of EP infants at discharge in Guangdong province.Entities:
Keywords: China; Complication; Extremely preterm infant; Low birth weight; Outcome; Survival rate
Mesh:
Year: 2019 PMID: 31685004 PMCID: PMC6827215 DOI: 10.1186/s12887-019-1736-8
Source DB: PubMed Journal: BMC Pediatr ISSN: 1471-2431 Impact factor: 2.125
Demographics of extremely preterm (EP) infants and the mothers in outcome categories
| Characteristics | Survivors ( | Non-survivors ( | Total ( |
| |
|---|---|---|---|---|---|
| Characteristics of infants | |||||
| GA (weeks), mean ± SD | 26.92 ± 0.86 | 26.41 ± 1.07 | 26.68 ± 1.00 | <0.001 | / |
| BW (grams), mean ± SD | 976 ± 167 | 889 ± 180 | 935 ± 179 | <0.001 | / |
| Gender (male), n (%) | 669 (62.2) | 586 (60.1) | 1255 (61.2) | >0.05 | 1.091 (0.913–1.303) |
| Apgar score, n (%) | |||||
| ≤ 3 at 1 min | 95 (8.8) | 168 (17.2) | 263 (12.8) | <0.001 | 0.465 (0.356–0.608) |
| 4 | 369 (34.3) | 391 (40.1) | 760 (37.1) | <0.01 | 0.780 (0.651–0.933) |
| ≤ 3 at 5 min | 9 (0.8) | 43 (4.4) | 52 (2.5) | <0.001 | 0.183 (0.089–0.377) |
| 4 | 130 (12.1) | 214 (21.9) | 344 (16.8) | <0.001 | 0.489 (0.385–0.620) |
| Surfactant therapy, n (%) | 900 (83.6) | 718 (73.6) | 1618 (78.9) | <0.001 | 1.830 (1.476–2.270) |
| Surfactant therapy twice or more, n (%) | 155 (14.4) | 155 (15.9) | 310 (15.1) | >0.05 | 0.890 (0.699–1.134) |
| Mechanical ventilation, n (%) | 816 (75.8) | 787 (80.7) | 1603 (78.2) | <0.01 | 0.750 (0.607–0.926) |
| Days of mechanical ventilation (days), median (P25, P75) | 8.0 (2.0,22.0) | 2.3 (1.0,7.3) | 4.2 (1.0,15.0) | <0.001 | / |
| Non-invasive ventilation, n (%) | 880 (81.8) | 240 (24.6) | 1120 (54.6) | <0.001 | 13.750 (11.117–17.007) |
| Days of non-invasive ventilation (days), median (P25, P75) | 15.4 (6.0,26.0) | 3.1 (1.0,8.0) | 12.0 (4.0,23.0) | <0.001 | / |
| Total days of oxygen therapy (days), median (P25, P75) | 42.7 (25.0,60.6) | 3.0 (1.0,9.8) | 19.5 (2.8,47.0) | <0.001 | / |
| Length of hospital stay (days), median (P25, P75) | 71.0 (55.5,87.0) | 3.0 (1.0,10.0) | 35.0 (3.0,73.0) | <0.001 | / |
| Characteristics of mothers | |||||
| History of pregnancy problemsa, n (%) | 412 (38.3) | 349 (35.8) | 761 (37.1) | >0.05 | 1.113 (0.930–1.332) |
| Age ≥ 35 years, n (%) | 238 (22.1) | 177 (18.2) | 415 (20.2) | <0.05 | 1.280 (1.030–1.591) |
| Cesarean section, n (%) | 221 (20.5) | 172 (17.6) | 393 (19.2) | >0.05 | 1.207 (0.967–1.506) |
| Twin/multiple pregnancy, n (%) | 392 (36.4) | 404 (41.4) | 796 (38.8) | <0.05 | 0.810 (0.678–0.968) |
| Antenatal steroids, n (%) | 609 (56.6) | 367 (37.6) | 976 (47.6) | <0.001 | 2.160 (1.810–2.579) |
| Dexamethasone ≥ 4 doses | 390 (36.2) | 204 (20.9) | 594 (29.0) | <0.001 | 2.149 (1.762–2.620) |
| Dexamethasone 1~3 dose(s) | 219 (20.4) | 163 (16.7) | 382 (18.6) | <0.05 | 1.273 (1.017–1.593) |
| Premature rupture of membranes, n (%) | 305 (28.3) | 194 (19.9) | 499 (24.3) | <0.001 | 1.593 (1.297–1.956) |
| Infection in the middle trimester of pregnancy, n (%) | 82 (7.6) | 66 (6.8) | 148 (7.2) | >0.05 | 1.136 (0.812–1.590) |
| Gestational diabetes mellitus, n (%) | 99 (9.2) | 88 (9.0) | 187 (9.1) | >0.05 | 1.021 (0.756–1.380) |
| Pregnancy induced hypertension syndrome, n (%) | 71 (6.6) | 80 (8.2) | 151 (7.4) | >0.05 | 0.790 (0.567–1.102) |
| Placental abruption/Placenta previa, n (%) | 72 (6.7) | 81 (8.3) | 153 (7.5) | >0.05 | 0.792 (0.569–1.101) |
| Thyroid dysfunction, n (%) | 31 (2.9) | 22 (2.3) | 53 (2.6) | >0.05 | 1.285 (0.739–2.235) |
| Cervical incompetence, n (%) | 28 (2.6) | 48 (4.9) | 76 (3.7) | <0.01 | 0.516 (0.321–0.829) |
P-value means the contrast between survivors and non-survivors
GA gestational age, BW birth weight, SD standard deviation, P25 the 25th percentile, P75 the 75th percentile, OR odds ratio, CI confidence interval
aHistory of pregnancy problems refer to that the mother had at least one of the histories as follow: spontaneous abortion, induced abortion, stillbirth, preterm birth, ectopic pregnancy, or baby died during the neonatal period
The survival rate of extremely preterm (EP) infants at discharge from 2008 to 2017
| 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| All EP infants, n | 58 | 75 | 78 | 158 | 163 | 186 | 257 | 299 | 369 | 408 | 2051 |
| Survived, n (%) | 21 (36.2) | 25 (33.3) | 28 (35.9) | 66 (41.8) | 79 (48.5) | 95 (51.1) | 130 (50.6) | 170 (56.9) | 220 (59.6) | 242 (59.3) | 1076 (52.5) |
| Died despite active treatment, n (%) | 14 (24.1) | 16 (21.3) | 12 (15.4) | 33 (20.9) | 16 (9.8) | 22 (11.8) | 54 (21.0) | 58 (19.4) | 52 (14.1) | 44 (10.8) | 321 (15.7) |
| Died after medical care withdrawal, n (%) | 23 (39.7) | 34 (45.3) | 38 (48.7) | 59 (37.3) | 68 (41.7) | 69 (37.1) | 73 (28.4) | 71 (23.7) | 97 (26.3) | 122 (29.9) | 654 (31.9) |
| All preterm infants, n (%)* | 8335 (0.70) | 8499 (0.88) | 10,795 (0.72) | 14,210 (1.11) | 15,611 (1.04) | 16,574 (1.12) | 16,266 (1.58) | 15,967 (1.87) | 18,417 (2.00) | 17,780 (2.29) | 142,454 (1.44) |
| All infants, n (%)# | 33,299 (0.17) | 33,328 (0.22) | 43,305 (0.18) | 53,066 (0.29) | 58,718 (0.28) | 55,603 (0.33) | 53,951 (0.48) | 53,937 (0.55) | 60,075 (0.61) | 60,886 (0.67) | 506,168 (0.41) |
R × C Chi-square test (linear-by-linear association) showed that the ratios of EP infants in all preterm infants and in all infants discharged rose up annually (both P<0.001). And the annual survival rate of EP infants improved from 2008 to 2017 (P<0.001). EP: Extremely preterm; *Percentile of EP infants discharged in all preterm infants discharged; #Percentile of EP infants discharged in all infants discharged
The survival rate of extremely preterm (EP) infants in relation to gestational age and birth weight
| GA (weeks) | BW (grams) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| <24 | 24~ | 25~ | 26~ | 27~ | <600 | 600~ | 700~ | 800~ | 900~ | ≥1000 | |
| All EP infants, n | 26 | 105 | 263 | 548 | 1109 | 52 | 106 | 255 | 398 | 495 | 745 |
| Survived, n (%) | 3 (11.5) | 36 (34.3) | 89 (33.8) | 256 (46.7) | 692 (62.4) | 12 (23.1) | 32 (30.2) | 86 (33.7) | 186 (46.7) | 282 (57.0) | 478 (64.2) |
| Died despite active treatment, n (%) | 8 (30.8) | 23 (21.9) | 56 (21.3) | 90 (16.4) | 144 (13.0) | 11 (21.2) | 33 (31.1) | 41 (16.1) | 66 (16.6) | 74 (14.9) | 96 (12.9) |
| Died after medical care withdrawal, n (%) | 15 (57.7) | 46 (43.8) | 118 (44.9) | 202 (36.9) | 273 (24.6) | 29 (55.8) | 41 (38.7) | 128 (50.2) | 146 (36.7) | 139 (28.1) | 171 (23.0) |
R × 2 Chi-square test (linear-by-linear association) showed that the survival rate of EP infants improved with increasing GA and BW (both P<0.001). EP extremely preterm, GA gestational age, BW birth weight
Differences of survival rate among regions and between hospitals
| Economic development levels of the region | Types of hospital | ||||
|---|---|---|---|---|---|
| High-level | Middle-level | Low-level | General hospitals | Maternal and children’s hospitals | |
| All EP infants, n | 1274 | 559 | 218 | 1083 | 968 |
| Survived, n (%) | 708 (55.6) | 281 (50.3) | 87 (39.9) | 488 (45.1) | 588 (60.7) |
| Died despite active treatment, n (%) | 182 (14.3) | 81 (14.5) | 58 (26.6) | 213 (19.7) | 108 (11.2) |
| Died after medical care withdrawal, n (%) | 384 (30.1) | 197 (35.2) | 73 (33.5) | 382 (35.3) | 272 (28.1) |
R × 2 Chi-square test (linear-by-linear association) showed that the overall survival rate of EP infants discharged from different regions improved with the ascending level of economic development (P<0.001). And 2 × 2 Chi-square test showed that the survival rate of EP infants discharged from general hospitals was lower than those from maternal and children’s hospitals (P<0.001). EP: Extremely preterm
Fig. 1The incidence of complications at each gestational age (GA) group. R × 2 Chi-square test (linear-by-linear association) showed that the incidence of BPD, ROP, IVH decreased with increasing GA (all p<0.001), whereas the incidence of NEC rose up (p<0.05). There were no significant differences in the incidence of RDS, PVL, and Sepsis. RDS: Neonatal respiratory distress syndrome; BPD: Bronchopulmonary dysplasia; ROP: Retinopathy of prematurity; NEC: Necrotizing enterocolitis; IVH: Intraventricular hemorrhage; PVL: Periventricular leukomalacia. Sepsis: blood culture-positive nosocomial sepsis.*:p<0.05; ***: p<0.001
Fig. 2The incidence of complications in EP infants between 2008–2012 and 2013–2017. It was shown that the incidence of RDS and BPD increased during 2013–2017 when compared to 2008–2012 (p<0.001 and p<0.01, but PVL decreased (p<0.001). There were no significant differences in the incidence of ROP, NEC, IVH and Sepsis. RDS: Neonatal respiratory distress syndrome; BPD: Bronchopulmonary dysplasia; ROP: Retinopathy of prematurity; NEC: Necrotizing enterocolitis; IVH: Intraventricular hemorrhage; PVL: Periventricular leukomalacia. Sepsis: blood culture-positive nosocomial sepsis. **:p<0.01; ***: p<0.001
Fig. 3The survival days (hours) of non-survival EP infants. The left part of the chart showed the duration of survival in the non-survival EP infants under active treatment or care withdrawal. The right part of the chart showed the duration of survival in the non-survival EP infants at different GA
Fig. 4The reasons for medical care withdrawal. Economic burden and fearing of poor or uncertain outcomes, only fearing of poor or uncertain outcomes, only concerning about economic burden, unknow and other factors were the main reasons leading to medical care withdrawal, which was accounted for 34.4, 33.0, 19.0, 10.7 and 2.9% respectively
Multivariate logistic regression analysis of risk factors for survival
| Influencing factors | Wald |
| OR (95% CI) | |
|---|---|---|---|---|
| Specialist hospital | 0.820 | 35.771 | <0.001 | 2.270 (1.735–2.969) |
| Economic development in high-level | 0.301 | 4.958 | 0.026 | 1.351 (1.037–1.762) |
| Gestational age | 0.405 | 25.770 | <0.001 | 1.499 (1.282–1.753) |
| Birth weight | 0.001 | 10.020 | 0.002 | 1.001 (1.001–1.002) |
| Twins or multiple births | −0.316 | 5.288 | 0.021 | 0.729 (0.557–0.954) |
| Apgar ≤7 at 5 min | −0.714 | 19.088 | <0.001 | 0.490 (0.356–0.675) |
| Antenatal steroids | 0.493 | 13.999 | <0.001 | 1.637 (1.265–2.119) |
| Premature rupture of membranes | 0.367 | 5.424 | 0.020 | 1.444 (1.060–1.967) |
| Cervical incompetence | −0.667 | 4.149 | 0.042 | 0.513 (0.270–0.975) |
| Care withdrawal | −4.490 | 400.618 | <0.001 | 0.011 (0.007–0.017) |