Literature DB >> 34072575

Incidence, Risk Factors, and Outcomes of Preterm and Early Term Births: A Population-Based Register Study.

Salma Younes1, Muthanna Samara2, Rana Al-Jurf3, Gheyath Nasrallah3, Sawsan Al-Obaidly4, Husam Salama5, Tawa Olukade5, Sara Hammuda2, Mohamed A Ismail1, Ghassan Abdoh5, Palli Valapila Abdulrouf1,6, Thomas Farrell1,4, Mai AlQubaisi5, Hilal Al Rifai5, Nader Al-Dewik1,3,7,8,9,10.   

Abstract

Preterm birth (PTB) and early term birth (ETB) are associated with high risks of perinatal mortality and morbidity. While extreme to very PTBs have been extensively studied, studies on infants born at later stages of pregnancy, particularly late PTBs and ETBs, are lacking. In this study, we aimed to assess the incidence, risk factors, and feto-maternal outcomes of PTB and ETB births in Qatar. We examined 15,865 singleton live births using 12-month retrospective registry data from the PEARL-Peristat Study. PTB and ETB incidence rates were 8.8% and 33.7%, respectively. PTB and ETB in-hospital mortality rates were 16.9% and 0.2%, respectively. Advanced maternal age, pre-gestational diabetes mellitus (PGDM), assisted pregnancies, and preterm history independently predicted both PTB and ETB, whereas chromosomal and congenital abnormalities were found to be independent predictors of PTB but not ETB. All groups of PTB and ETB were significantly associated with low birth weight (LBW), large for gestational age (LGA) births, caesarean delivery, and neonatal intensive care unit (NICU)/or death of neonate in labor room (LR)/operation theatre (OT). On the other hand, all or some groups of PTB were significantly associated with small for gestational age (SGA) births, Apgar < 7 at 1 and 5 min and in-hospital mortality. The findings of this study may serve as a basis for taking better clinical decisions with accurate assessment of risk factors, complications, and predictions of PTB and ETB.

Entities:  

Keywords:  Qatar; early term birth (ETB); incidence; late preterm birth (Late PTB); outcomes; prematurity; preterm birth (PTB); risk factors

Mesh:

Year:  2021        PMID: 34072575      PMCID: PMC8197791          DOI: 10.3390/ijerph18115865

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


1. Introduction

Preterm birth (PTB) is considered the main cause of perinatal mortality and morbidity in industrialized countries [1]. Many PTB-born children who survive face adverse short-term and long-term consequences, including behavioral. health related quality of life, cognitive, eating and neurological impairments, and chronic conditions, which in some cases, can lead to death [2,3,4,5,6,7,8]. In the past, a pregnancy that lasted anywhere between 37 and 42 weeks was referred to as a term pregnancy [9,10]. However, driven by the growing body of evidence that significant differences exist in the outcomes of infants delivered within this 5-week interval, the definitions for term pregnancies have been updated [9,11]. In 2013, a full-term pregnancy (FTB) has been redefined as a pregnancy that lasts between 39 weeks, 0 days and 40 weeks 6 days, whereas the period between 37 weeks to 38 weeks, 6 days of gestation is now referred to as early term birth (ETB) [9,11]. PTBs are not the only gestational age (GA) subgroup at risk of adverse clinical outcomes [12,13]. Recent evidence suggests that ETBs are associated with high risk of mortality, more admissions to neonatal intensive care units [13], as well as conferring a high risk for respiratory diseases and neurological disabilities [14]. Over the past 20 years, the rate of PTB has been escalating steadily and alarmingly. Of 65 countries around the world, all but three countries have shown an increase in PTB rates over the past two decades [1]. The estimated global PTB rate in 2014 was 10.6%, corresponding to approximately ~14.8 million live preterm births, of which ~12 million (81.1%) occurred in Asia and sub-Saharan Africa [15]. Over 75% of all perinatal mortality and 50% of perinatal and long-term morbidities are associated with PTBs [16,17]. ETBs are more common than PTBs, with international prevalence rates ranging from 15% to 30% [18,19]. In developed countries, the pooled rate of ETBs in in the period 2006–2014 was estimated to range from 16.8% in Finland to 26.9% in the USA [18]. However, the proportion of ETBs in many developing countries remains unclear. Thus, there is a lack of evidence concerning the impact of ETB on maternal and neonatal outcomes. PTBs and ETBs are believed to involve both genetic and environmental factors. Causal factors linked to PTB include medical conditions [20], genetic influences [21,22,23], environmental exposure [24,25], infertility treatments [26,27], as well as behavioral and socioeconomic factors [28,29,30]. While extreme to very PTBs have been extensively studied, and the associated morbidities are well-documented [31,32,33], studies on infants born at later stages of pregnancy, particularly late PTBs and ETBs, are lacking. Thus, in this population-based study, we aimed to assess the incidence of PTB and ETB over a period of 12 months in Qatar, and examine the associated neonatal and maternal risk factors, as well as the feto-maternal consequences in the perinatal-neonatal period.

2. Materials and Methods

2.1. Study Design and Data Collection

This study is a 12-month retrospective population-based study conducted using registry data from the PEARL-Peristat Study, Qatar. This population-based registry was designed using routinely collected hospital data for parturient women and their offspring. The study was approved by the Hamad Medical Corporation (HMC) Institutional Review Board (IRB), with a waiver of consent. We included singleton live births at 24+0 weeks gestation and above, whose mothers delivered between April 2017 and March 2018 at the Women’s Wellness and Research Centre (WWRC) in HMC, the main national hospital and provider of secondary and tertiary health care facilities in Qatar. Stillbirths were excluded, as there was no certainty of the presence or absence of PTBs. Out of 15,872 identified singleton births, gestational age was missing for 7 infants and thus these were excluded. Finally, a total of 15,865 singleton births were examined.

2.2. Neonatal Factors

Gestational age was classified into preterm and term births; preterm births were further categorized into extremely to very PTB (<32 weeks), moderate PTB (32 to <34 weeks), and late PTB (34 to <37 weeks). Moreover, in accordance with established international definitions [12], we further discriminated between ETB (37 to <39) and FTB (39 to <42). Baby gender was categorized into male, female, and ambiguous. Birth weight was categorized as low and normal (≤2499 g and ≥2500 g, respectively). In addition, appropriate for gestational age (AGA), small for gestational age (SGA), and large for gestational age (LGA) were defined as those with estimated fetal weight between 10th percentile and 90th percentile, below the 10th percentile, or above the 90th percentile, respectively. Low Apgar scores at 1 min and at 5 min were defined as any score lower than 7 [34]. Baby outcome was categorized into discharged alive or in-hospital mortality, while baby disposition was categorized into postnatal ward and Neonatal Intensive Care Unit (NICU) or death in Labor Room/ Operation Theatre (LR/OT).

2.3. Maternal Factors

Maternal age was categorised into young (<20 years), normal (20–34 years), advanced (35–39 years), very advanced (40–44 years), and extremely advanced (≥45 years) age ranges. Parity was classified into nulliparous or parity ≥ 1. Nationality was grouped into Qatari (n: 4941, 32%), other Arabs based on the UNESCO list of Arab countries (n: 6306, 40%), and other nationalities (Asian: n: 3711, 23%; Europeans and North and South Americans: n: 151, 1%; others: n: 752, 4%). Consanguinity was coded as yes (the mother and the father are related to each other in any level of relatedness) or no. Educational level was grouped into three categories including elementary and below, secondary school or high school, and college/university or above. Employment status was categorised into employed or unemployed. History of PTB and history of smoking were coded as yes versus no. To reduce selection bias from PTB history variable, we excluded women who were marked as having a history of multiple birth from this variable. The risk of PTB is higher with multiple pregnancies. Women were categorized according to their glycemic status into diabetic and non-diabetic, and further categorized into pregestational diabetics (PGDM), gestational diabetics (GDM), and non-diabetics (no data on Type 1 or 2 were recorded). Chronic hypertension was coded as yes or no. Women were also categorized into obese and non-obese using pre-pregnancy and the first 12 weeks of pregnancy (pre- and early-pregnancy; PP obesity) BMI. This was determined by calculating the BMI during that period, calculated from height and weight. The variable was then categorized into non-obese (<30 kg/m2) and obese (BMI ≥ 30 kg/m2) following NHLBI/WHO guidelines [35,36]. Pregnancy mode was defined as spontaneous or assisted (including ovulation induction, invitro fertilisation, intracytoplasmic sperm injection, intra uterine insemination, and others). Delivery mode was categorized into vaginal and caesarean.

2.4. Statistical Analysis

Statistical analysis using IBM SPSS 26 software (SPSS, Chicago, IL, USA) was conducted. All categorical and binary variables were reported as numbers and percentages. The overall incidence of PTB and ETB, risk factors, and outcomes were analyzed using Chi-Square analysis on the differences between each PTB and ETB groups in one hand and FTB on the other hand. Regression analyses were performed in two stages. Risk factors associated with PTB and ETB were examined and the associations with the outcomes were quantified; they were reported as odds ratios (OR) and 95% confidence intervals (CI). In stage one, we used univariate logistic regression to investigate the association of maternal and neonatal risk factors with PTBs and ETBs in comparison to FTB. Multiple logistic regression was then performed including the significant variables with p < 0.05 from the univariate analysis. PP obesity was excluded from the multiple logistic regression due to missing values. In stage two, univariate logistic regression was performed to investigate the association of PTBs and ETBs in comparison with FTB as predictors of several neonatal and maternal outcomes. After that multiple logistic regression was performed adjusting for the variables that were significant from the univariate analysis at the first stage. The independent risk factors included in the final model were reported as ORs and 95% CIs. Statistical significance was defined as p < 0.05.

3. Results

3.1. Characteristics of the Study Population and Differences between Pre and Early Term Groups in Comparison to Full Term Group

A total of 15,872 singleton live births registered in the PEARL database from April 2017 to March 2018 were identified, of which 15,865 singleton live births were examined (Figure 1, Table S1).
Figure 1

Flow chart of the study live births: term and preterm numbers and percentages.

The maternal characteristics and newborn distribution of the overall study population are shown in Table 1. Table 1 shows the differences between each PTB and ETB group in comparison to FTB in relation to each demographic and medical variable. PTB and ETB incidence rates were 8.8% and 33.7%, respectively. In-hospital mortality was 16.9% among PTB infants and 0.2% among ETB infants (Table 1, Table S1).
Table 1

Characteristics of the study population according to gestational age groups: differences between each PTB and ETB group in comparison to FTB in relation to various demographic and medical variables.

Extreme to Very PTB (n = 214)Moderate PTB (n = 160)Late PTB (n = 1015)ETB(n = 5348)FTB(n = 9128) (Ref.)
n (%)p Valuen (%)p Valuen (%)p Valuen (%)p Valuen (%)
Maternal age <0.001 <0.001 <0.001 <0.001
 Normal (20–34 yr)149 (69.6) 107 (66.9) 718 (70.7) 3973 (74.3) 7402 (81.1)
 Young (<20 yr)5 (2.3) 7 (4.4) 20 (2) 99 (1.9) 219 (2.4)
 Advanced (35–39 yr)46 (21.5) 36 (22.5) 217 (21.4) 937 (17.5) 1209 (13.2)
 Very advanced (40–44 yr)14 (6.5) 9 (5.6) 53 (5.2) 310 (5.8) 285 (3.1)
 Extremely advanced (≥45 yr)0 (0) 1 (0.6) 7 (0.7) 29 (0.5) 13 (0.1)
Parity 0.001 0.283 0.105 <0.001
 Nulliparous85 (39.7) 53 (33.1) 272 (26.8) 1232 (23) 2668 (29.2)
 Parity ≥ 1129 (60.3) 107 (66.9) 743 (73.2) 4116 (77) 6460 (70.8)
Nationality <0.05 <0.05 <0.001 0.001
 Qatari61 (28.5) 57 (35.6) 343 (33.8) 1730 (32.4) 2750 (30.1)
 Other Arabs75 (35) 48 (30) 349 (34.4) 2048 (38.3) 3786 (41.5)
 Other Nationalities78 (36.4) 55 (34.4) 323 (31.8) 1569 (29.3) 2589 (28.4)
Consanguineous 0.161 0.651 0.163 0.634
 No42 (75) 27 (62.8) 217 (62.4) 1435 (66.7) 2444 (66.1)
 Yes14 (25) 16 (37.2) 131 (37.6) 717 (33.3) 1255 (33.9)
Education 0.570 0.168 <0.05 0.248
 Elementary and below4 (6.5) 1 (2.2) 47 (12.4) 205 (9) 355 (8.9)
 Secondary/Highschool23 (37.1) 12 (26.7) 130 (34.3) 673 (29.5) 1254 (31.5)
 University or above35 (56.5) 32 (71.1) 202 (53.3) 1404 (61.5) 2373 (59.6)
Diabetes status <0.001 <0.001 <0.001 <0.001
 No DM161 (75.2) 103 (64.4) 613 (60.4) 3259 (60.9) 6981 (76.5)
 GDM43 (20.1) 48 (30) 348 (34.3) 1829 (34.2) 2099 (23)
 PGDM10 (4.7) 9 (5.6) 54 (5.3) 260 (4.9) 48 (0.5)
Chronic hypertension <0.001 <0.001 <0.001 <0.001
 No205 (95.8) 149 (93.1) 982 (96.7) 5243 (98) 9078 (99.5)
 Yes9 (4.2) 11 (6.9) 33 (3.3) 105 (2) 50 (0.5)
PP obesity <0.05 0.529 <0.001 <0.001
 No43 (58.9) 33 (67.3) 262 (62.7) 1403 (63.4) 2369 (71.4)
 Yes30 (41.1) 16 (32.7) 156 (37.3) 811 (36.6) 947 (28.6)
Baby gender <0.01 <0.05 <0.001 <0.001
 Male125 (58.4) 95 (59.4) 557 (54.9) 2843 (53.2) 4482 (49.1)
 Female89 (41.6) 65 (40.6) 457 (45) 2503 (46.8) 4646 (50.9)
 Ambiguous0 (0) 0 (0) 1 (0.1) 1 (0) 0 (0)
Chromosomal/congenital abnormality <0.001 <0.001 <0.001 <0.05
 No185 (86.4) 148 (92.5) 968 (95.4) 5271 (98.6) 9032 (98.9)
 Yes29 (13.6) 12 (7.5) 47 (4.6) 77 (1.4) 96 (1.1)
Smoking <0.05 0.308 0.452 0.862
 No148 (97.4) 120 (98.4) 745 (98.9) 4117 (99.2) 6932 (99.2)
 Yes4 (2.6) 2 (1.6) 8 (1.1) 32 (0.8) 56 (0.8)
Preterm history <0.001 <0.001 <0.001 <0.001
 No172 (80.4) 130 (81.3) 860 (84.7) 4895 (91.5) 8758 (95.9)
 Yes42 (19.6) 30 (18.8) 155 (15.3) 453 (8.5) 370 (4.1)
Employment status 0.477 0.346 0.357 0.151
 Employed54 (100) 42 (97.7) 344 (98.6) 2159 (98.7) 3737 (99.1)
 Unemployed0 (0) 1 (2.3) 5 (1.4) 29 (1.3) 35 (0.9)
Birth weight <0.001 <0.001 <0.001 <0.001
 ≤2499 g210 (98.6) 148 (92.5) 432 (42.6) 375 (7) 127 (1.4)
 ≥2500 g3 (1.4) 12 (7.5) 583 (57.4) 4972 (93) 8996 (98.6)
Fetal weight by GA <0.001 <0.001 <0.001 <0.001
 AGA120 (56.3) 96 (60) 682 (67.2) 4126 (77.2) 6453 (81.6)
 SGA41 (19.2) 28 (17.5) 112 (11) 250 (4.7) 451 (5.7)
 LGA52 (24.4) 36 (22.5) 221 (21.8) 971 (18.2) 1002 (12.7)
Pregnancy mode <0.001 <0.01 <0.001 <0.001
 Spontaneous202 (94.4) 150 (94.3) 961 (95.1) 5159 (97) 8906 (98.1)
 Assisted12 (5.6) 9 (5.7) 49 (4.9) 157 (3) 169 (1.9)
Delivery mode <0.001 <0.001 <0.001 <0.001
 Vaginal77 (36) 63 (39.4) 502 (49.5) 3236 (60.5) 7169 (78.5)
 Caesarean137 (64) 97 (60.6) 513 (50.5) 2112 (39.5) 1959 (21.5)
Apgar < 7 at 1 min <0.001 <0.001 <0.001 <0.05
 No112 (53.1) 137 (87.3) 956 (94.5) 5280 (99) 8975 (98.6)
 Yes99 (46.9) 20 (12.7) 56 (5.5) 56 (1) 131 (1.4)
Apgar < 7 at 5 min <0.001 <0.001 <0.001 0.251
 No196 (92.9) 154 (98.1) 1003 (99) 5328 (99.8) 9102 (99.9)
 Yes15 (7.1) 3 (1.9) 10 (1) 9 (0.2) 9 (0.1)
Baby outcome <0.001 <0.001 <0.001 0.052
 Discharged alive190 (88.8) 153 (95.6) 1002 (98.7) 5335 (99.8) 9118 (99.9)
 In-hospital mortality24 (11.2) 7 (4.4) 13 (1.3) 13 (0.2) 10 (0.1)
Baby disposition <0.001 <0.001 <0.001 <0.001
 Postnatal ward1 (0.5) 8 (5) 640 (63.1) 4853 (90.8) 8528 (93.4)
 NICU or death in LR/OT213 (99.5) 152 (95) 375 (36.9) 494 (9.2) 600 (6.6)

Abbreviations: Ref, reference group; PTB, preterm birth; ETB, early term birth; DM, diabetes mellitus; GDM, gestational diabetes mellitus; PGDM, pre-gestational diabetes mellitus; PP, pre- and early-pregnancy; AGA, appropriate for gestational age; SGA, small for gestational age; LGA, large for gestational age; Apgar, appearance, pulse, grimace, activity, and respiration; NICU, neonatal intensive care unit; LR, labour room; OT, operation theatre. Bold values denote statistically significant differences between each PTB and ETB group in one hand and FTB on the other hand.

3.2. Risk Factors Associated with PTB and ETB

The regression analysis shows that for extreme to very PTB, advanced maternal age (aOR, 1.81; 95% CI, 1.15–2.83), very advanced maternal age (aOR, 2.39; 95% CI, 1.12–5.11), parity ≥ 1 (aOR, 0.34; 95% CI, 0.23–0.51), PGDM (aOR, 7.37; 95% CI, 2.97–18.31), chromosomal/congenital abnormalities (aOR, 15.52; 95% CI, 8.91–27.02), history of preterm birth (aOR, 7.23; 95% CI, 4.44–11.77), and assisted pregnancy (aOR, 2.49; 95% CI, 1.19–5.21) were found to be independent predictors in the univariate and the multivariate analyses (Table 2, Table S2). However, ethnic group, chronic hypertension, baby gender, and smoking history status became non-significant in the adjusted model (Table 2, Table S2).
Table 2

Multivariate regression analyses of the risk factors associated with PTB and ETB.

Risk FactorsExtreme to Very PTB(n = 214)Moderate PTB (n = 160)Late PTB(n = 1015)ETB(n = 5348)
aOR a (95% CI)aOR b (95% CI)aOR c (95% CI)aOR d (95% CI)
Maternal age
 Normal (20–34 yr)refrefrefref
 Young (<20 yr)0.96 (0.34–2.72) 2.76 (1.26–6.07) ‡ 1.01 (0.48–2.13)1.02 (0.8–1.31)
 Advanced (35–39 yr) 1.81 (1.15–2.83) ‡ 1.48 (0.98–2.23) 1.39 (1.05–1.86) ‡ 1.18 (1.07–1.31) *
 Very advanced (40–44 yr) 2.39 (1.12–5.11) ‡ 1.77 (0.87–3.63)1.57 (0.91–2.71) 1.53 (1.28–1.82) *
 Extremely advanced (≥45 yr)NA1.64 (0.16–16.9)4.97 (0.79–31.38) 2.36 (1.18–4.71) ‡
Parity
 Nulliparousref ref
 Parity ≥ 1 0.34 (0.23–0.51) * 1.21 (1.11–1.32) *
Nationality
 Qataris0.78 (0.51–1.2)0.87 (0.59–1.28)0.8 (0.61–1.05)0.99 (0.9–1.08)
 Other Arabs0.73 (0.48–1.09) 0.6 (0.4–0.89) ‡ 0.64 (0.49–0.83) * 0.89 (0.81–0.96) †
 Other Nationalitiesrefrefrefref
Education
 Elementary and below 1.46 (1.02–2.08) ‡
 Secondary/Highschool 1.25 (0.98–1.59)
 University or above ref
Diabetes status
 No DMrefrefrefref
 GDM0.88 (0.58–1.33) 1.47 (1.03–2.1) ‡ 1.61 (1.27–2.05) * 1.8 (1.67–1.94) *
 PGDM 7.37 (2.97–18.31) * 5.03 (2.08–12.17) * 6.55 (3.17–13.52) * 9.72 (7.07–13.35) *
Chronic hypertension
 Norefrefrefref
 Yes2.97 (0.96–9.18) 6.5 (2.92–14.46) * 1.14 (0.37–3.49) 2.39 (1.67–3.43) *
Baby gender
 Femalerefrefrefref
 Male1.39 (0.99–1.95) 1.46 (1.06–2.03) ‡ 1.12 (0.9–1.39) 1.2 (1.11–1.28) *
Chromosomal/Congenital abnormalities
 Norefrefrefref
 Yes 15.52 (8.91–27.02) * 7.9 (4.14–15.04) * 3.9 (1.97–7.7) * 1.26 (0.92–1.72)
Smoking
 Noref
 Yes3.01 (0.99–9.13)
Preterm history
 Norefrefrefref
 Yes 7.23 (4.44–11.77) * 4.7 (3.04–7.28) * 3.5 (2.48–4.94) * 1.95 (1.68–2.26) *
Pregnancy mode
 Spontanious pregnancyrefrefrefref
 Assisted pregnancy 2.49 (1.19–5.21) ‡ 2.82 (1.38–5.79) † 3.11 (1.9–5.08) * 1.61 (1.28–2.02) *

Abbreviations: cOR, crude odds ratio; aOR, adjusted odds ratio; CI, confidence interval; Ref, referent; NA, not applicable; PTB, preterm birth; ETB, early term birth; DM, diabetes mellitus; GDM, gestational diabetes mellitus; PGDM, pre-gestational diabetes mellitus; PP, pre- and early-pregnancy; AGA, appropriate for gestational age; SGA, small for gestational age; LGA, large for gestational age; Apgar, appearance, pulse, grimace, activity, and respiration; NICU, neonatal intensive care unit; LR, labor room; OT, operation theatre. Bold values denote statistical significance at the * p < 0.001, † p < 0.01 and ‡ p < 0.05. a adjusted for maternal age, parity, nationality, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, smoking, preterm history, and pregnancy mode. b adjusted for maternal age, nationality, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, preterm history, and pregnancy mode. c adjusted for maternal age, nationality, education status, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, preterm history, and pregnancy mode. d adjusted for maternal age, parity, nationality, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, preterm history, and pregnancy mode. Notes: Only variables which showed significant results in the univariate analysis were included in the multiple logistic regression analysis, and presented in this table. PP obesity was exceptionally excluded from the multiple logistic regression, although significant in univariate analysis, due to missing values.

For moderate PTB, young maternal age (aOR, 2.76; 95% CI, 1.26–6.07), other Arab nationalities (aOR, 0.6; 95% CI, 0.4–0.89), GDM (aOR, 1.47; 95% CI, 1.03–2.1), PGDM (aOR, 5.03; 95% CI, 2.08–12.17), chronic hypertension (aOR, 6.5; 95% CI, 2.92–14.46), chromosomal/congenital abnormalities (aOR, 7.9; 95% CI, 4.14–15.04), assisted pregnancy (2.82; 95% CI, 1.38–5.79), preterm history (aOR, 4.7; 95% CI, 3.04–7.28), and male baby gender (aOR, 1.46; 95% CI, 1.06–2.03) were found to be significant predictors in the univariate and the multivariate analyses (Table 2, Table S2). However, mothers with advanced (35–39 years) and very advanced (40–44 years) ages became non-significant after adjustment (Table 2, Table S2). For late PTB, advanced maternal age (aOR, 1.39; 95% CI, 1.05–1.86), other Arab nationalities (aOR, 0.64; 95% CI, 0.49–0.83), level of education of elementary and below (aOR, 1.46; 95% CI, 1.02–2.08), GDM (aOR, 1.61; 95% CI, 1.27–2.05), PGDM (aOR, 6.55; 95% CI, 3.17–13.52), chromosomal/congenital abnormalities (aOR, 3.9; 95% CI, 1.97–7.70), preterm history (aOR, 3.5; 95% CI, 2.48–4.94), and assisted delivery (aOR, 3.11; 95% CI, 1.90–5.08) were found to be independent predictors in the univariate and the multivariate analyses (Table 2, Table S2). However, advanced maternal age (35–39 years), extremely advanced maternal age (≥45 years), chronic hypertension, and male gender became non-significant in the adjusted model (Table 2, Table S2). For ETB, advanced maternal age (aOR, 1.18; 95% CI, 1.07–1.31), very advanced maternal age (aOR, 1.53; 95% CI, 1.28–1.82), extremely advanced maternal age (aOR, 2.36; 95% CI, 1.18–4.71), parity ≥ 1 (aOR, 1.21; 95% CI, 1.11–1.32), other Arab nationalities (aOR, 0.89; 95% CI, 0.81–0.96), GDM (aOR, 1.8; 95% CI, 1.67–1.94), PGDM (aOR, 9.72; 95% CI, 7.07–13.35), chronic hypertension (aOR, 2.39; 95% CI, 1.67–3.43), male babies (1.2; 95% CI, 1.11–1.28), preterm history (aOR, 1.95; 95% CI, 1.68–2.26), and assisted pregnancies (aOR, 1.61; 95% CI, 1.28–2.02) were found to be independent predictors in the univariate and the multivariate analyses (Table 2, Table S2). However, chromosomal/congenital abnormalities became non-significant in the adjusted model (Table 2, Table S2).

3.3. Adverse Outcomes Associated with PTB and ETB

Extreme to very PTB significantly predicted all assessed outcomes; LBW (aOR, 5669.36; 95% CI, 1317.88–24388.98), SGA (aOR, 4.11; 95% CI, 2.55–6.64), LGA (aOR, 3.8; 95% CI, 2.5–5.79), caesarean delivery (aOR, 5.26; 95% CI, 3.71–7.47), low Apgar < 7 at 1 min (aOR, 52.3; 95% CI, 33.89–80.71) and at 5 min (aOR, 69.2; 95% CI, 20.54–233.09), in-hospital mortality (aOR, 84.73; 95% CI, 28.87–248.69), and NICU/death in LR/OT (aOR, 2417.24; 95% CI, 332.79–17557.67) in the univariate and the adjusted models (Table 3, Table S3).
Table 3

Multivariate regression analysis of the pregnancy and feto-maternal outcomes associated with PTB and ETB.

LBWSGALGACaesarean DeliveryApgar < 7 at 1 MinApgar < 7 at 5 MinIn-Hospital MortalityNICU/Death in LR/OT
aOR (95%CI)aOR (95%CI)aOR (95%CI)aOR (95%CI)aOR (95%CI)aOR (95%CI)aOR (95%CI)aOR (95%CI)
Extreme to very PTB a 5669.36 (1317.88–24,388.98) * 4.11 (2.55–6.64) * 3.8 (2.5–5.79) * 5.26 (3.71–7.47) * 52.3 (33.89–80.71) * 69.2 (20.54–233.09) * 84.73 (28.87–248.69) * 2417.24 (332.79–17,557.67) *
Moderate PTB b 1021.64 (520.79–2004.19) * 3.78 (2.38–6.00) * 2.44 (1.63–3.64) * 4.54 (3.26–6.34) * 7.73 (4.43–13.50) * 9.81 (2.01–47.91) † 27.76 (7.52–102.48) * 274.38 (132.59–567.78) *
Late PTB c 57.41 (40.1–82.19) * 1.9 (1.28–2.82) * 1.87 (1.39–2.5) * 2.47 (1.96–3.12) * 1.64 (0.73–3.69)NANA 8.48 (6.37–11.28) *
ETB d 5.96 (4.83–7.35) * 0.9 (0.77–1.07) 1.37 (1.24–1.52) * 2.14 (1.98–2.32) * 0.71 (0.51–0.99) ‡ 1.2 (0.45–3.19)2.11 (0.84–5.32) 1.31 (1.15–1.51) *

Abbreviations: cOR, crude odds ratio; aOR, adjusted odds ratio; CI, confidence interval; Ref, referent; NA, not applicable; PTB, preterm birth; ETB, early term birth; DM, diabetes mellitus; GDM, gestational diabetes mellitus; PGDM, pre-gestational diabetes mellitus; AGA, appropriate for gestational age; SGA, small for gestational age; LGA, large for gestational age; Apgar, Appearance, Pulse, Grimace, Activity, and Respiration; NICU, neonatal intensive care unit; LR, labor room; OT, operation theatre. Bold values denote statistical significance at the * p <0.001, † p < 0.01 and ‡ p <0.05. a adjusted for maternal age, parity, nationality, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, smoking, preterm history, and pregnancy mode. b adjusted for maternal age, nationality, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, preterm history, and pregnancy mode. c adjusted for maternal age, nationality, education status, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, preterm history, and pregnancy mode. d adjusted for maternal age, parity, nationality, diabetes status, chronic hypertension, baby gender, chromosomal/congenital abnormalities, preterm history, and pregnancy mode.

Moderate PTB significantly predicted all assessed outcomes; LBW (aOR, 1021.64; 95% CI, 520.79–2004.19), SGA (aOR, 3.78; 95% CI, 2.38–6.00), LGA (aOR, 2.44; 95% CI, 1.63–3.64), caesarean delivery (aOR, 4.54; 95% CI, 3.26–6.34), low Apgar < 7 at 1 min (aOR, 7.73; 95% CI, 4.43–13.50) and at 5 min (aOR, 9.81; 95% CI, 2.01–47.91), in-hospital mortality (aOR, 27.76; 95% CI, 7.52–102.48), and NICU/death in LR/OT (aOR, 274.38; 95% CI, 132.59–567.78) in the univariate and the adjusted models (Table 3, Table S3). Late PTB significantly predicted LBW (aOR, 57.41; 95% CI, 40.1–82.19), SGA (aOR, 1.9; 95% CI, 1.28–2.82), LGA (aOR, 1.87; 95% CI, 1.39–2.5), caesarean delivery (aOR, 2.47; 95% CI, 1.96–3.12), and NICU/death in LR/OT (aOR, 8.48; 95% CI, 6.37–11.28) in the univariate and the adjusted models. However, low Apgar < 7 at 1 min and at 5 min, and in-hospital mortality became non-significant after adjustment (Table 3, Table S3). ETB significantly predicted LBW (aOR, 5.96; 95% CI, 4.83–7.35), LGA (1.37; 95% CI, 1.24–1.52), caesarean delivery (aOR, 2.14; 95% CI, 1.98–2.32), Apgar < 7 at 1 min (aOR, 0.71; 95% CI, 0.51–0.99), and NICU/death in LR/OT (aOR, 1.31; 95% CI, 1.15–1.51) in the univariate and the adjusted models. However, low Apgar < 7 at 5 min, and in-hospital mortality became non-significant after adjustment (Table 3, Table S3).

4. Discussion

Our population-based study showed a PTB incidence of 88 per 1000 total singleton births (8.8%), and ETB incidence was estimated to be 337 per 1000 total singleton births (33.7%), between April 2017 and March 2018. Several factors were shared among the different gestational age groups, including advanced maternal age, PGDM, assisted delivery, and preterm history, which conferred a relatively higher risk for PTB and ETB in comparison to FTB (Table 2, Table S2). In-hospital mortality was highest within the extreme to very PTB (11.2%) group in comparison to the other PTB groups (moderate: 4.4%; late: 1.3%). Not only PTB, but also ETB was significantly associated with higher rates of caesarean deliveries, LBW, LGA, and admission to NICU/or death in LR/OT. The estimated incidence for PTB (8.8%) is higher than that reported in Qatar back in 2014 (4.48%, UI: 3.02–6.42) [16], comparable to that reported in Europe, and Latin America and the Caribbean (8.8% and 9.8%, respectively) [11], yet, it is lower than that reported in North America (11.2%), Northern Africa (13.4%), Oceania (10.0%), and Sub-Saharan Africa (12.0%) [11]. In regard to ETB, there is a dearth of epidemiological studies assessing the incidence, risk factors, and outcomes to be able to establish valid comparisons [37]. In this study, advanced maternal age, PGDM, assisted delivery, and preterm history were independent predictors of both PTB and ETB (Table 2, Table S2). These are all well-established risk factors for PTB and ETBs among different racial and ethnic groups [21,22,38,39]. Mothers with chromosomal or congenital abnormalities were more likely to deliver PTB but not ETB, after adjusting for the confounding factors. This indicates that the trend of the risk distribution for PTB delivery in mothers with chromosomal or congenital abnormalities may differ according to the distribution of gestational age. In this study, both PTB and ETB significantly predicted low birth weight, large-for-gestational-age (LGA) births, caesarean delivery, admission to neonatal intensive care unit (NICU), and deaths of neonate in labor room (LR)/or operation theatre (OT) (Table 3). Globally, PTB complications are the leading cause of mortality among children aged < 5 years, responsible for an estimated 1 million deaths in 2015 [40]. There are huge geographical variations in the rates of PTB mortality and absolute number of deaths due to complications related to PTBs [41]. As gestational age decreases, mortality rates increase, and infants who are both PTB and SGA are at even higher risk [42,43]. In high-income countries, advancements in healthcare have helped improve survival and long-term adverse consequences in very and extremely PTB-born children [44]. In developed countries, extremely PTB-born infants are estimated to have a 90% survival chance, nevertheless, they may suffer long-term neurological, and physical disabilities. On the other hand, only 10% of extremely PTB-born infants are estimated to survive in low-income countries [45]. Despite the consequences and burden caused by these outcomes, most of them can be prevented [35]. It is estimated that three-quarters of the global deaths due to PTBs could be prevented with current, cost-effective interventions [40]. According to reports from high-income countries, it is estimated that most prematurity cases can be offered care that could be lifesaving or that would reduce adverse events. It is noteworthy to mention that cesarean sections in cases of PTB labor can be protective, but can also lead to significant morbidities among both the mothers and their babies, and thus, the ideal delivery mode for PTB singletons remains controversial [46]. This population-based study was performed using data retrieved from the PEARL-Peristat Study (Perinatal Neonatal Registry), based on predesigned hospital data pertaining to mothers and newborns [47]. This database is large enough that the sample size is representative of births in Qatar [47]. Additionally, since the concept of ETB is a relatively new one, this study is one of only a few studies to examine the risk factors and outcomes associated with ETB.

5. Conclusions

This large population-based study is the first to assess the incidence, risk factors, and outcomes associated with PTB and ETB in Qatar and one of the very few studies to assess the risk factors and outcomes associated with ETB worldwide. The findings of this study may serve as a basis to help make better clinical decisions with accurate assessment of risk factors, complications, and realistic predictions related to PTB and ETB, which should ultimately provide a way forward for precision health and to help reduce the burden and the consequences associated with PTB and ETB.
  37 in total

Review 1.  The preterm parturition syndrome.

Authors:  R Romero; J Espinoza; J P Kusanovic; F Gotsch; S Hassan; O Erez; T Chaiworapongsa; M Mazor
Journal:  BJOG       Date:  2006-12       Impact factor: 6.531

Review 2.  Epidemiology of late preterm and early term births - An international perspective.

Authors:  Marie Delnord; Jennifer Zeitlin
Journal:  Semin Fetal Neonatal Med       Date:  2018-09-18       Impact factor: 3.926

3.  Variations in mortality and morbidity by gestational age among infants born at term.

Authors:  Xun Zhang; Michael S Kramer
Journal:  J Pediatr       Date:  2008-10-31       Impact factor: 4.406

Review 4.  An overview of mortality and sequelae of preterm birth from infancy to adulthood.

Authors:  Saroj Saigal; Lex W Doyle
Journal:  Lancet       Date:  2008-01-19       Impact factor: 79.321

5.  Mortality in Infants Affected by Preterm Birth and Severe Small-for-Gestational Age Birth Weight.

Authors:  Joel G Ray; Alison L Park; Deshayne B Fell
Journal:  Pediatrics       Date:  2017-11-08       Impact factor: 7.124

6.  Temporal Trends in Late Preterm and Early Term Birth Rates in 6 High-Income Countries in North America and Europe and Association With Clinician-Initiated Obstetric Interventions.

Authors:  Jennifer L Richards; Michael S Kramer; Paromita Deb-Rinker; Jocelyn Rouleau; Laust Mortensen; Mika Gissler; Nils-Halvdan Morken; Rolv Skjærven; Sven Cnattingius; Stefan Johansson; Marie Delnord; Siobhan M Dolan; Naho Morisaki; Suzanne Tough; Jennifer Zeitlin; Michael R Kramer
Journal:  JAMA       Date:  2016-07-26       Impact factor: 56.272

7.  Adverse neonatal outcomes associated with early-term birth.

Authors:  Shaon Sengupta; Vivien Carrion; James Shelton; Ralph J Wynn; Rita M Ryan; Kamal Singhal; Satyan Lakshminrusimha
Journal:  JAMA Pediatr       Date:  2013-11       Impact factor: 16.193

8.  Neurologic and developmental disability at six years of age after extremely preterm birth.

Authors:  Neil Marlow; Dieter Wolke; Melanie A Bracewell; Muthanna Samara
Journal:  N Engl J Med       Date:  2005-01-06       Impact factor: 91.245

9.  Global, regional, and national causes of under-5 mortality in 2000-15: an updated systematic analysis with implications for the Sustainable Development Goals.

Authors:  Li Liu; Shefali Oza; Dan Hogan; Yue Chu; Jamie Perin; Jun Zhu; Joy E Lawn; Simon Cousens; Colin Mathers; Robert E Black
Journal:  Lancet       Date:  2016-11-11       Impact factor: 79.321

10.  Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis.

Authors:  Saifon Chawanpaiboon; Joshua P Vogel; Ann-Beth Moller; Pisake Lumbiganon; Max Petzold; Daniel Hogan; Sihem Landoulsi; Nampet Jampathong; Kiattisak Kongwattanakul; Malinee Laopaiboon; Cameron Lewis; Siwanon Rattanakanokchai; Ditza N Teng; Jadsada Thinkhamrop; Kanokwaroon Watananirun; Jun Zhang; Wei Zhou; A Metin Gülmezoglu
Journal:  Lancet Glob Health       Date:  2018-10-30       Impact factor: 26.763

View more
  3 in total

1.  The Influence of Maternal Factors on Neonatal Intensive Care Unit Admission and In-Hospital Mortality in Premature Newborns from Western Romania: A Population-Based Study.

Authors:  Stelian-Gabriel Ilyes; Veronica Daniela Chiriac; Adrian Gluhovschi; Valcovici Mihaela; George Dahma; Adelina Geanina Mocanu; Radu Neamtu; Carmen Silaghi; Daniela Radu; Elena Bernad; Marius Craina
Journal:  Medicina (Kaunas)       Date:  2022-05-26       Impact factor: 2.948

2.  Effects of Interaction Between Gestational Hypertension and History of Preterm Birth on the Risk of Preterm Birth: An Analysis Based on the National Vital Statistics System Database.

Authors:  Xiaoqin Cao; Daoming Zu; Yang Liu
Journal:  Med Sci Monit       Date:  2022-04-20

3.  Preterm, early term, and post-term infants from Riyadh mother and baby multicenter cohort study: The cohort profile.

Authors:  Amel Fayed; Hayfaa A Wahabi; Samia Esmaeil; Hala Elmorshedy; Hilala AlAniezy
Journal:  Front Public Health       Date:  2022-09-13
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.