Small head circumference at birth: an 8-year retrospective cohort study in China

Abstract

Objective

Head circumference is considered a reliable assessment of the volume of the underlying brain. We sought to identify risk factors (maternal factors or antenatal antecedents) for microcephaly and to assess the effects of microcephaly on neonatal outcomes.

Design

Retrospective cohort study.

Setting

Data for all births in 2009-2017 were obtained from the Guangzhou Maternal-Fetal Care Database.

Participants

All singleton liveborn infants between 33 and 42 weeks’ gestation (n=45 663) were categorised using the Intergrowth-21st standard for microcephaly.

Main outcome measures

Prevalence of mild, absolute and relative microcephaly at birth. We estimated associations of (1) maternal characteristics including Cantonese origin, parity, exposure to teratogens, TORCH infections (ie, Toxoplasma gondii, rubella virus, cytomegalovirus, herpes simplex virus), in vitro fertilisation conception, pre-eclampsia and maternal congenital anomalies with risk of each category of microcephaly, and (2) microcephaly with risk of in-hospital mortality and severe morbidity.

Results

A total of 2709 infants had a head circumference z-score >2 SD, resulting in an overall prevalence of microcephaly of 59.3 per 1000 infants, consisting of mild (54.1 per 1000), absolute (2.8 per 1000) and relative microcephaly (2.4 per 1000). In multiple logistic regression, absolute microcephaly was associated with in utero exposure to teratogens (OR 4.2, 95% CI 2.0 to 8.8) and TORCH agents (OR 3.2, 95% CI 1.1 to 9.5). Mild microcephaly was associated with Cantonese descent (OR) 1.5, 95% CI 1.3 to 1.7) and primiparity (OR 1.7, 95% CI 1.5 to 2.0). Absolute microcephaly was associated with a significantly higher odds of neonatal seizure (OR 8.7, 95% CI 1.1 to 69.1). Mild microcephaly was not associated with adverse neonatal outcomes overall.

Conclusions

Cantonese origin, exposure to teratogens, pre-eclampsia and TORCH infection may be risk factors for microcephaly. The high prevalence of relative microcephaly and associated poor outcomes suggests that high-risk women merit closer clinical management and follow-up to maximise fetal head development during pregnancy.

What is known about the subject?

• Head circumference is considered a reliable assessment of the volume of the underlying brain.

• The recent outbreak of microcephaly associated with congenital Zika virus infection first identified in Brazil has drawn greater attention to Zika virus around the world.

What this study adds?

• A high prevalence of microcephaly was identified in a predominantly Cantonese birth cohort in China with no documented evidence of Zika virus infection.

• In utero exposure to teratogens and TORCH (Toxoplasma gondii, rubella virus, cytomegalovirus, herpes simplex virus) agents were associated with a higher risk of absolute microcephaly.

• This study reinforces the applicability of a customised definition of absolute and relative microcephaly.

Introduction

Microcephaly in the newborn is characterised by a disproportionately small head circumference (HC) for gestational age and may be categorised as absolute (asymmetrical growth retardation—where the HC is reduced to a greater extent than length and weight) or relative (symmetrical growth retardation—where the HC, the length and weight are reduced to a similar degree).^{1 2} Despite considerable advances in case ascertainment, microcephaly remains a heterogeneous group of primarily neurological deficits.^2–6 HC is considered a reliable assessment of the volume of the underlying brain. WHO currently recommends the Intergrowth-21st criteria to classify HC if the gestational age is known.^7–9 However, there exist a number of methods for microcephaly ascertainment, including >2 SD or >3 SD below mean HC. In addition, ethnicity is another factor to consider, as norms for HC may depend on the population for whom the standard was created. As such, prevalence rates of microcephaly vary greatly by country, ethnicity and region or even birth hospital where the standards and case ascertainment methods are used.^10–14

Unlike intrauterine growth restriction (IUGR) or small for gestational age, the underlying cause/aetiology for microcephaly is reported to be largely genetic or unknown.^{2 4–6} Devakumar et al recently summarised several major maternal infections such as cytomegalovirus, herpes simplex virus (HSV), rubella virus, Toxoplasma gondii and Zika virus as known causes for congenital microcephaly.¹⁵ In high-income countries, however, microcephaly was reportedly due to non-infectious causes.10 13 16–19 A recent study of hospital birth data from Quebec, Canada, reported that the strongest non-genetic risk factor for microcephaly was TORCH (ie, T. gondii, rubella virus, cytomegalovirus, HSV) infection with a 32-fold risk, and in utero exposure to teratogens (ie, alcohol or drug use) with an over threefold risk of microcephaly despite an observed low prevalence.¹³ The recent outbreak of microcephaly associated with congenital Zika virus infection, first identified in Brazil, has drawn attention to Zika virus because the outbreak led to congenital microcephaly in a susceptible population, affecting a very large number of infants.^20–22

The Intergrowth-21st Project recently published HC standards based on a low-risk population of fetuses and newborn infants.⁷ According to the standard, 9.8% of singleton live births from 2009 to 2012 in Guangzhou are below the third centile of HC, and 12.1% are in the third to the 10th centile.²³ This surprisingly high rate of small HC calls for close assessment of this population. In this retrospective cohort study, we aimed to characterise microcephalic infants, to identify risk factors (maternal factors or antenatal antecedents) for microcephaly and to assess the effects of microcephaly on neonatal outcomes.

Methods

Guangzhou Maternal-Fetal Care Database

This database was created following the Canadian perinatal health surveillance and research data source guidelines²⁴ and contains all records of hospital deliveries (≥22 weeks of gestation) at Metropolitan Guangzhou Tertiary Care Centre for Pregnant Women. The hospitalisation records are collated by trained medical record personnel using standardised definitions²⁴ and contain information on gestational age (ultrasound-based estimate), plurality, birth weight, laboratory tests, ultrasounds, maternal and newborn conditions (principal diagnosis and up to 24 secondary diagnostic fields) during antenatal hospital visits and the obstetric delivery/neonatal admission. Data collection began in 2008, and the data are routinely checked for accuracy and completeness.²⁵ Information on maternal demographic characteristics (eg, ethnicity, birth place, education, occupation, current residence, age, parity), conception method (natural, in vitro fertilisation (IVF)), prenatal care or medical visits, laboratory tests, neonatal conditions including Apgar scores, length of hospital stay and discharge status is recorded in the database.^23–25 Medical conditions, diagnoses, and diagnostic, therapeutic and surgical procedures among mothers and newborns were coded using the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10, WHO). Newborn birth weight (gram), femur length (centimetre), HC (centimetre) are all measured and recorded at birth. In addition, all delivering mothers and newborns (including stillbirths) are linked using mother–newborn dyad numbers assigned at birth. Stillbirths and live births with central nervous system anomalies were excluded from this study population to minimise potential confounding of the assessment of small HC.

Identification of microcephaly

We analysed three primary outcomes, including absolute, relative and mild microcephaly (figure 1). To categorise the outcomes, we first identified all singleton infants between 33 and 42 weeks’ gestation who satisfied the Intergrowth-21st standard for microcephaly. We used the Intergrowth criteria to define microcephaly as an HC z-score >2 SD below the mean,^{7 8} and further characterised infants who satisfied the criteria into four subtypes: (1) absolute microcephaly defined as an HC >3 SD below the mean with ‘normal’ (ie, ≥3rd centile) birth weight; (2) relative microcephaly defined as an HC >3 SD below the mean with ‘low’ (ie, <3rd centile) birth weight and (3) mild microcephaly infants whose HC was between 2 and 3 SD below the mean with ‘normal’ birth weight; (4) infants with both HC ≤2 SD below the mean and normal birth weight were defined as normocephaly and used as the comparison group (figure 1).

Figure 1.

Flow chart detailing identification of microcephaly in Guangzhou tertiary care centre for pregnant women. BW, birth weight; CNS, central nervous system; HC, head circumference.

Absolute and relative microcephaly both captured HC >3 SD below the mean, but distinguished infants on body size or birth weight. Absolute microcephaly included infants whose birth weight was ≥ 3rd centile of the distribution. In contrast, relative microcephaly included infants whose birth weight was ≤3rd centile of the distribution. Relative microcephaly is generally more severe than absolute microcephaly and may be a marker of growth restriction overall. The category mild microcephaly was a variant of absolute microcephaly, capturing infants categorised as microcephalic by Intergrowth-21st standards, but with an HC >2 SD of the mean and birth weight ≥3rd centile. Our hypothesis was that risk factors, birth outcomes and neonatal morbidity and mortality for absolute, relative and mild microcephaly may vary.

Maternal factors and antenatal antecedents

We characterised maternal demographics and risk factors for the three types of microcephaly. We considered maternal age at conception (<25, 25–29, 30–34 and ≥35 years), mother’s ethnicity (Cantonese women vs women migrated from other provinces of China), parity (first vs ≥second child), conception method (IVF vs natural), pregnancy condition (ie, pre-existing hypertension, gestational hypertension, pre-eclampsia/eclampsia, gestational and pregestational diabetes mellitus),^{17 18} exposure to teratogens (ie, maternal use of substances or behavioural risk factors) including prenatal and/or perinatal use of alcohol, cigarette or medicinal or other illicit or therapeutic drugs^{13 26 27} and TORCH infections during pregnancy. In addition, we included congenital heart defects and other anomalies as the former has been strongly associated with microcephaly.^{3 5 13} We used ICD-10 codes to document whether women had these conditions during pregnancy and/or at the time of delivery (online supplementary appendix table 1). In addition, we defined three maternal educational levels as university or college (>12 years of school), high school (10–12 years) and elementary school (<10 years). We used educational attainment as a proxy for socioeconomic status (SES) and family wealth.

We assessed infant status or poor birth outcomes (preterm birth, 1 min and 5 min Apgar scores) and respiratory distress syndrome and comorbidities (necrotising enterocolitis, intracranial haemorrhage, bronchopulmonary dysplasia, birth hypoxia, seizure, feeding difficulties). We also assessed mean length of stay after delivery, including >7 or >10 days of hospital stay. We determined neonatal in-hospital mortality according to discharge summaries (online supplementary appendix table 1).

Statistical analysis

We calculated prevalence rates of absolute, relative and mild microcephaly per 1000 live births. We used simple logistic regression to estimate crude ORs, and multiple logistic regression to estimate adjusted ORs (AORs) and 95% CIs for the association between maternal risk factors and absolute, relative or mild microcephaly. Finally, we assessed associations between microcephaly as the fetal exposure and poor birth outcomes or comorbidities in models adjusted for infant gender, parity, maternal age, ethnicity, education, TORCH agents, exposure to teratogens, pre-eclampsia, diabetes mellitus and chronic illness. All variables were entered simultaneously in multiple logistic regression models. A modelling selection process was not applied. In addition, we tested for multicollinearity among independent variables.²⁸ Statistical analyses were undertaken with SAS version 9.4 (SAS Institute, Cary, North Carolina) software.

Patient and public involvement

As this study was based on predesigned and ongoing collection of birth hospitalisation data for newborns and the mothers, no patients were involved in setting the research question or outcome measures, nor were they involved in developing plans for implementation of the study. No patients were asked to comment on the study design or were consulted to interpret the results. Patients were not invited to contribute to writing or editing this document for readability or accuracy.

Results

Among 45 663 singleton live births of 33 to 42 weeks’ gestation, 3.1% (n=1398) had birth weight <3rd centile and 2.8% (n=1283) had femur length <3rd centile. The majority (85.2%) of mothers were of Cantonese origin and 81.2% were primiparous.

A total of 2709 liveborns had HC >2 SD below the mean, resulting in an overall prevalence of microcephaly of 59.3 per 1000 infants. After excluding the <3rd centile for birth weight, there remained 2102 infants (46.0 per 1000) with mild ‘absolute’ microcephaly. A total of 240 ‘severe’ microcephaly infants were identified, yielding an overall prevalence of 5.2 per 1000 live births. There were 129 infants with absolute microcephaly (2.8 per 1000) and 111 infants with relative microcephaly (2.4 per 1000) (figure 1).

Absolute microcephaly was associated with maternal exposure to teratogens (AOR 4.2, 95% CI 2.0 to 8.8) and TORCH agents (AOR 3.2, 95% CI 1.1 to 9.5). In addition, IUGR and pre-eclampsia were, respectively, associated with a nearly fivefold and threefold increased risk of absolute microcephaly (table 1). Relative microcephaly was significantly associated with IUGR (AOR 20.2, 95% CI 12.2 to 33.5), pre-eclampsia/eclampsia (AOR 5.3, 95% CI 3.1 to 8.9), TORCH agents (AOR 3.0, 95% CI 1.1 to 7.9) and elementary school or lower education (AOR 2.6, 95% CI 1.6 to 4.1). Relative microcephaly was significantly associated with congenital heart defects (AOR 3.4, 95% CI 1.6 to 7.1) (table 2).

Table 1.

Maternal characteristics and factors and risk of absolute microcephaly in the offspring

Characteristic	Absolute microcephaly	Non-microcephaly	Prevalence per 1000	OR 95% CI
				Unadjusted	Adjusted*
Maternal age (years)
<25	31	5 244	5.9	2.14 (1.33 to 3.44)	1.51 (0.90 to 2.53)
25–29	51	18 263	2.8	1.01 (0.66 to 1.54)	0.92 (0.59 to 1.41)
30–34	38	13 730	2.8	1.00 (reference)	1.00 (reference)
≥35	9	6 899	1.3	0.47 (0.23 to 0.98)	0.47 (0.23 to 0.99)
Education
University/college	61	26 775	2.3	1.00 (reference)	1.00 (reference)
High school	22	6 576	3.3	1.47 (0.90 to 2.39)	1.27 (0.72 to 2.11)
Elementary school	46	10 785	4.2	1.87 (1.28 to 2.75)	1.57 (1.02 to 2.40)
Primiparity	105	35 902	2.9	1.00 (0.64 to 1.56)	1.42 (0.87 to 2.32)
Cantonese ethnicity	110	37 591	2.9	1.01 (0.62 to 1.64)	0.95 (0.57 to 1.56)
IVF conception	7	2 576	2.9	0.93 (0.43 to 1.99)	1.12 (0.51 to 2.46)
Congenital heart disease	6	445	13.5	4.79 (2.10 to 10.93)	2.33 (0.97 to 5.63)
Other congenital anomalies in offspring†	3	440	6.8	2.37 (0.75 to 7.46)	1.33 (0.38 to 4.67)
Intrauterine growth restriction	6	212	27.5	10.1 (4.41 to 23.2)	4.92 (2.04 to 11.9)
Maternal anomalies	3	390	7.6	2.67 (0.85 to 8.43)	2.34 (0.73 to 7.53)
Diabetes mellitus	10	5311	1.9	0.61 (0.32 to 1.17)	0.75 (0.39 to 1.44)
Pre-eclampsia	8	863	9.2	3.32 (1.62 to 6.80)	2.64 (1.25 to 5.59)
Chronic illness	24	6303	3.8	1.37 (0.88 to 2.14)	1.43 (0.91 to 2.24)
Teratogens	8	626	12.6	4.60 (2.24 to 9.44)	4.18 (1.98 to 8.77)
TORCH agents‡	4	324	12.2	4.33 (1.59 to 11.8)	3.21 (1.09 to 9.49)
Genital/reproductive infections	1	688	1.5	0.49 (0.07 to 3.53)	0.57 (0.07 to 4.16)
Overall	129	44 136	2.9

*Adjusted for infant birth year.

†Exclusive of congenital heart disease and CNS anomalies.

‡Latent Toxoplasma gondii only.

CNS, central nervous system; IVF, in vitro fertilisation; TORCH, Toxoplasma gondii, rubella virus, cytomegalovirus, herpes simplex virus.

Table 2.

Maternal characteristics and factors and risk of relative microcephaly in the offspring

Characteristic	Relative microcephaly	Non-microcephaly	Prevalence per 1000	OR 95% CI
				Unadjusted	Adjusted*
Maternal age (years)
<25	24	5463	4.4	2.05 (1.18 to 3.42)	1.26 (0.69 to 2.28)
25–29	35	18 802	1.9	0.85 (0.52 to 1.38)	0.91 (0.55 to 1.51)
30–34	31	14 148	2.2	1.00 (reference)	1.00 (reference)
≥35	21	7139	2.9	1.34 (0.77 to 2.34)	1.08 (0.61 to 1.93)
Education
University/college	37	27 512	1.3	1.00 (reference)	1.00 (reference)
High school	19	6765	2.8	2.09 (1.20 to 3.63)	1.70 (0.95 to 3.03)
Elementary school	55	11 275	4.9	3.63 (2.39 to 5.51)	2.58 (1.60 to 4.08)
Primiparity	85	37 013	2.3	0.75 (0.49 to 1.17)	1.34 (0.80 to 2.25)
Cantonese ethnicity	94	38 808	2.4	0.96 (0.57 to 1.61)	1.11 (0.65 to 1.90)
IVF conception	8	2659	3.0	1.25 (0.61 to 2.58)	1.36 (0.64 to 2.90)
Congenital heart disease	12	513	22.9	10.6 (5.8 to 19.5)	3.41 (1.64 to 7.08)
Other congenital anomalies in offspring†	4	480	8.3	3.51 (1.29 to 9.56)	1.08 (0.35 to 3.33)
Intrauterine growth restriction	33	402	75.9	47.5 (31.3 to 72.2)	20.2 (12.2 to 33.5)
Maternal anomalies	2	420	4.7	1.97 (0.49 to 8.01)	1.23 (0.28 to 5.35)
Diabetes mellitus	14	5484	2.5	1.06 (0.61 to 1.85)	1.05 (0.58 to 1.84)
Pre-eclampsia	27	1055	25.0	13.6 (8.75 to 21.0)	5.28 (3.13 to 8.90)
Chronic illness	15	6576	2.1	0.86 (0.49 to 1.50)	0.71 (0.40 to 1.25)
Teratogens	5	664	7.5	3.19 (1.30 to 7.85)	1.32 (0.48 to 3.60)
TORCH agents‡	6	371	15.9	6.96 (3.04 to 15.9)	2.96 (1.10 to 7.94)
Genital/reproductive infections	1	719	1.4	0.57 (0.08 to 4.07)	0.41 (0.06 to 3.07)
Overall	111	45 552	2.4

*Adjusted for infant birth year.

†Exclusive of congenital heart disease and CNS anomalies.

‡Latent Toxoplasma gondii only.

CNS, central nervous system; IVF, in vitro fertilisation; TORCH, Toxoplasma gondii, rubella virus, cytomegalovirus, herpes simplex virus.

In multiple logistic regression, mothers’ Cantonese origin (AOR 1.45, 95% CI 1.25 to 1.68), primiparity (AOR 1.7, 95% CI 1.5 to 2.0) and young maternal age were associated with a higher risk of mild microcephaly. Maternal age <25 years was associated with 30% higher risk of mild microcephaly (AOR 1.3, 95% CI 1.1 to 1.4) versus 30–34 years. IVF conception was associated with a 22% decreased risk of mild microcephaly (table 3). Multicollinearity tests did not show meaningful evidence of collinearity between exposure variables.

Table 3.

Maternal characteristics and factors associated with risk of mild microcephaly

Characteristic	Mild microcephaly	Normocephaly	Prevalence rate per 100	OR 95% CI
				Unadjusted	Adjusted*
Maternal age (years)
<25	312	4932	6.0	1.37 (1.19 to 1.58)	1.29 (1.06 to 1.42)
25–29	988	17 275	5.4	1.24 (1.12 to 1.38)	1.13 (1.01 to 1.25)
30–34	605	13 125	4.4	1.00 (reference)	1.00 (reference)
≥35	197	6702	2.9	0.64 (0.54 to 0.75)	0.54 (0.41 to 0.72)
Education
University/college	1311	25 464	4.9	1.00 (reference)	1.00 (reference)
High school	312	6 64	4.7	0.97 (0.85 to 1.10)	0.99 (0.87 to 1.13)
Elementary school	479	10 306	4.6	0.90 (0.81 to 1.01)	1.02 (0.91 to 1.14)
Primiparity	1850	34 052	5.2	1.72 (1.51 to 1.97)	1.73 (1.50 to 2.01)
Cantonese ethnicity	1888	35 703	5.0	1.56 (1.36 to 1.81)	1.45 (1.25 to 1.68)
IVF conception	89	2 487	3.5	0.72 (0.57 to 0.89)	0.78 (0.65 to 0.96)
Congenital heart disease	22	423	4.9	1.04 (0.68 to 1.60)	0.89 (0.57 to 1.38)
Other congenital anomalies in offspring†	25	415	5.7	1.21 (0.80 to 1.81)	1.23 (0.81 to 1.86)
Intrauterine growth restriction	40	172	18.8	4.72 (2.34 to 6.68)	4.48 (3.14 to 6.40)
Maternal anomalies	15	375	3.9	0.80 (0.48 to 1.34)	0.80 (0.48 to 1.35)
Diabetes mellitus	216	5095	4.1	0.83 (0.72 to 0.96)	0.96 (0.83 to 1.11)
Pre-eclampsia	44	819	5.1	1.08 (0.79 to 1.46)	1.10 (0.81 to 1.51)
Chronic illness	276	6027	4.4	0.90 (0.79 to 1.03)	0.92 (0.81 to 1.05)
Teratogens	35	591	5.6	1.18 (0.84 to 1.67)	1.22 (0.86 to 1.73)
TORCH agents‡	11	313	3.4	0.70 (0.38 to 1.28)	0.70 (0.38 to 1.28)
Genital/reproductive infections	19	669	2.8	0.56 (0.36 to 0.89)	0.66 (0.42 to 1.06)
Overall	2102	42 034	4.8

*Adjusted for infant birth year.

†Exclusive of congenital heart disease and CNS anomalies.

‡Latent Toxoplasma gondii only.

CNS, central nervous system; IVF, in vitro fertilisation; TORCH, Toxoplasma gondii, rubella virus, cytomegalovirus, herpes simplex virus.

Compared with normocephaly, absolute microcephaly was associated with a significantly higher odds of neonatal seizure (AOR 8.7, 95% CI 1.1 to 69.1), preterm birth (AOR 2.0, 95% CI 1.2 to 3.2), 1 min Apgar scores <8 (AOR 2.0, 95% CI 1.1 to 4.1) and longer in-hospital stay (AOR 3.2, 95% CI 1.9 to 5.4). In contrast, relative microcephaly was associated with poor birth outcomes and neonatal morbidity, including significantly higher preterm birth (AOR 1.7, 95% CI 1.0 to 2.7), 1 min Apgar scores <8 (AOR 2.6, 95% CI 1.4 to 4.9), 5 min Apgar scores <8 (AOR 3.6, 95% CI 1.2 to 10.7), intracranial haemorrhage (AOR 7.0, 95% CI 2.4 to 20.1), bronchopulmonary dysplasia (AOR 10.1, 95% CI 1.2 to 82.2), birth hypoxia (AOR 2.6, 95% CI 1.3 to 5.3), longer in-hospital stay (AOR 4.7, 95% CI 3.0 to 7.5) and higher neonatal in-hospital mortality (AOR 11.7, 95% CI 4.3 to 31.7) compared with normocephaly (table 4). However, infants with mild microcephaly had good birth outcomes overall with comparable neonatal comorbidity and length of in-hospital stay relative to normocephaly. It is noteworthy that mild microcephaly was associated with lower odds of preterm birth (table 5).

Table 4.

Comorbidity and poor birth outcome for absolute and relative microcephaly versus normocephaly

Mortality/morbidity	Absolute microcephaly (N=129)	Non-absolute microcephaly (N=44 136)	AOR* (95% CI)	Relative microcephaly (N=111)	Non-relative microcephaly (N=45 552)	AOR* (95% CI)
	n, per 1000	n, per 1000		n, per 1000	n, per 1000
In-hospital mortality	0	90 (2.0)†	NS	5 (45.0)	96 (2.1)	11.7 (4.31 to 31.7)
Preterm (33–36 weeks)	22 (170.5)	3550 (80.4)	1.96 (1.20 to 3.23)	31 (279.3)	4171 (91.6)	1.67 (1.02 to 2.74)
1 min Apgar score <8	7 (54.3)	948 (21.5)	1.98 (1.06 to 4.09)	13 (117.1)	1083 (23.8)	2.61 (1.41 to 4.87)
5 min Apgar score <8	0	147 (3.3)†	NS	4 (36.0)	160 (3.5)	3.61 (1.21 to 10.7)
Necrotising enterocolitis	0	52 (1.2)	NS	1 (9.0)	60 (1.3)	2.40 (0.31 to 18.0)
Intracranial haemorrhage	1 (7.8)	134 (3.0)	1.93 (0.26 to 14.2)	4 (36.0)	154 (3.4)	6.95 (2.41 to 20.1)
Bronchopulmonary dysplasia	0	22 (0.5)†	NS	1 (9.0)	24 (0.5)	10.1 (1.24 to 82.2)
Birth hypoxia	4 (31.0)	629 (14.3)	1.62 (0.59 to 4.47)	10 (90.1)	710 (15.6)	2.64 (1.31 to 5.31)
Feeding difficulties	9 (69.8)	2346 (53.2)	1.41 (0.71 to 2.79)	5 (45.1)	2115 (46.4)	0.21 (0.03 to 1.50)
Signs of seizure	1 (7.8)	29 (0.7)	8.76 (1.11 to 69.1)	0	31 (0.7)†	NS
Sepsis of newborn	0	95 (2.2)†	NS	1 (9.0)	105 (2.3)	1.69 (0.22 to 13.0)
Respiratory distress syndrome	1 (7.8)	449 (10.2)	0.61 (0.08 to 4.43)	15 (135.1)	516 (11.3)	7.07 (3.87 to 12.9)
Length of stay >10 days ‡	19 (147.3)	1877 (42.5)	3.23 (1.94 to 5.39)	35 (315.3)	2232 (49.0)	4.47 (3.01 to 7.46)
Length of stay (mean±SD, day)‡	5.9±6.8***	4.0±3.2		10.1±10.0***	4.1±3.5

***P<0.001.

*Models contain absolute or relative microcephaly as the exposure, and birth issues as outcomes, and are adjusted for infant gender, parity, maternal age, ethnicity, education, TORCH agents, exposure to teratogens, pre-eclampsia, diabetes mellitus and chronic illness.

†Fisher’s exact test is applied, and NS denotes non-significance.

‡Infant in-hospital deaths were excluded for the calculation of length of stay.

AOR, adjusted OR; TORCH, Toxoplasma gondii, rubella virus, cytomegalovirus, herpes simplex virus.

Table 5.

Comorbidity and poor birth outcome for mild microcephaly versus normocephaly

Mortality/morbidity	Mild microcephaly (n=2102)		Normocephaly (n=42 034)		OR
	Infants (n)	Prevalence per 1000	Infants (n)	Prevalence per 1000	Unadjusted OR (95% CI)	Adjusted OR* (95% CI)
In-hospital mortality	5	2.0	85	2.0	1.18 (0.48 to 2.90)	1.21 (0.49 to 3.00)
Preterm (33–36 weeks)	80	38.4	3470	82.6	0.45 (0.36 to 0.55)	0.45 (0.35 to 0.56)
1 min Apgar score <8	45	21.4	939	22.3	0.96 (0.71 to 1.30)	0.98 (0.72 to 1.33)
5 min Apgar score <8	6	2.9	141	3.4	0.85 (0.38 to 1.93)	0.83 (0.37 to 1.90)
Necrotising enterocolitis	3	1.6	49	1.2	1.23 (0.38 to 3.93)	1.26 (0.39 to 4.05)
Intracranial haemorrhage	9	3.2	125	3.0	1.44 (0.73 to 2.84)	1.58 (0.80 to 3.15)
Bronchopulmonary dysplasia	1	0.4	21	0.5	0.95 (0.13 to 7.08)	1.03 (0.14 to 8.04)
Birth hypoxia	35	16.2	594	14.1	1.18 (0.84 to 1.67)	1.21 (0.85 to 1.71)
Feeding difficulties	103	55.0	2243	53.4	0.91 (0.75 to 1.12)	0.89 (0.72 to 1.09)
Signs of seizure	1	0.5	27	0.7	0.74 (0.33 to 5.63)	0.76 (0.34 to 5.66)
Sepsis of newborn	5	2.4	90	2.1	1.11 (0.45 to 2.74)	1.09 (0.44 to 2.68)
Respiratory distress syndrome	14	6.3	435	10.3	0.64 (0.38 to 1.09)	0.71 (0.42 to 1.22)
Length of stay >7 days†	197	93.7	3916	93.2	1.01 (0.87 to 1.17)	1.07 (0.91 to 1.39)
Length of stay (mean±SD, day)	3.84±3.66		3.97±3.21		P=0.11

*Models contain mild microcephaly (vs normocephaly) as the exposure, and birth issues as outcomes, and are adjusted for infant gender, parity, maternal age, ethnicity, education, TORCH agents, exposure to teratogens, pre-eclampsia, diabetes mellitus and chronic illness.

†Infant in-hospital deaths were excluded for the calculation of length of stay.

TORCH, Toxoplasma gondii, rubella virus, cytomegalovirus, herpes simplex virus.

Discussion

We found an unexpectedly high rate of small HC, including absolute, relative and mild microcephaly, in a predominately Cantonese liveborn cohort in southern China. We analysed several markers capturing the severity and degree of microcephaly. Primiparity, pre-eclampsia, younger maternal age, TORCH agents and lower education attainment were all associated with an increased risk of smaller HC, with variations across absolute, relative and mild microcephaly. Some of the associations may be explained by a large number of infants born to Cantonese mothers (eg,table 3), whose statute is smaller than women in other parts of China,²⁹ although the underlying relationship is complex. In addition to well-established IUGR,^{2 4} factors such as genetics/ethnicity, nutrients (ie, excess seafood) and heavy air pollution in metro Guangzhou may relate to the increased small HC.^{16 17 30} Moreover, our results suggest that absolute and relative microcephaly are distinct, with relative microcephaly associated with a wide range of adverse neonatal outcomes given the significant effect of IUGR, and absolute microcephaly associated with adverse neurological outcomes but fewer comorbidities overall. Mild microcephaly differed little from normocephaly with respect to comorbidities, in-hospital mortality and hospital length of stay. In this study, we were initially concerned by absolute microcephaly as these children are more likely to have future intellectual disability.^{1–4 31}

Microcephaly is a clinical sign, not a diagnosis.^{2 4 5} Microcephaly is usually defined as an occipitofrontal HC of 2 or 3 SD below the mean on age-matched and sex-matched curves.^{2 5 32} Primary or congenital microcephaly is usually identified during neonatal examinations before birth hospital discharge, but may also be detected with measurements of HC in utero during ultrasound screening.³³ According to US surveillance data, the prevalence of congenital microcephaly varies from 2 to 12 cases per 10 000 infants.¹¹ In one study, the prevalence of microcephaly was 8.7 per 10 000 live births based on 30 birth defect surveillance programme covering 11 million live births in the USA.¹⁶ In Europe, the overall prevalence is approximately 2.6 to 2.9 per 10 000 live births; however, rates vary greatly between countries.¹⁰ A recent study from Quebec, Canada, reported an overall microcephaly prevalence of 4.1 per 10 000 live births between 1989 and 2012, fluctuating between 3.0 and 5.3 per 10 000 annually.¹³ However, these prevalence rates are from routine birth surveillance data and may be underestimated, as measurement of microcephaly is not based on standardised diagnostic criteria.^1–5 Different operational definitions of microcephaly make it difficult to evaluate rates across studies. Moreover, HC measurements could be more representative of congenital microcephaly recognised clinically⁶ and have the advantage of allowing researchers to distinguish cases as relative, absolute or mild.

Our results suggested that IVF was associated with an increased HC compared with natural conception. Previous studies report conflicting findings on fetal growth and HC following assisted reproductive techniques.^34–36 Further study including characteristics such as origin/ethnicity of sperm/egg donors may be helpful for clarification. The association of in utero exposure to teratogens with absolute microcephaly was, however, consistent with previous studies.13 18 19 26 37 38 Exposures to teratogens or substances such as cocaine, opioids and alcohol are known risk factors for microcephaly4 26 37 38 and other neurological developmental abnormalities.²⁷ Another recent study from Quebec, Canada, found that neonatal abstinence syndrome (a proxy for exposure to maternal opioids exposure) was associated with a 16-fold higher risk (adjusted risk ratio 16.4, 95% CI 9.4 to 28.6) of congenital microcephaly.²⁶

Maternal exposure to TORCH agents and pre-eclampsia appeared to increase the risk of relative microcephaly (table 2). Previous studies have already linked severe fetal growth restriction to pre-eclampsia and TORCH agents including T. gondii.15 17 18 39 According to ICD codes, we most likely captured maternal latent TORCH infections, in particular, for T. gondii.^{39 40} Other TORCH agents were not included in our data despite evidence that outbreaks of chikungunya and dengue occurred in the study areas.^{41 42}T. gondii infection during pregnancy has also been found to play a role in absolute microcephaly, aligning with our study results.

We observed significantly increased risks of neonatal seizure, preterm birth and poor 1 min Apgar scores for absolute microcephaly, reflecting a possible higher risk of neurological developmental abnormality and adverse intellectual prognosis.1 2 5 30 Our findings reflect great variations among absolute, relative and mild microcephalic infants despite no follow-up data on their future neurological development.

There are several limitations inherent to our study. First, there currently is no standardised definition or classification for microcephaly. Hospital discharge data may underestimate the prevalence, as many cases may not be reported despite meeting the clinical definition of microcephaly. Second, selection bias could have occurred if women with high-risk pregnancies were more likely to deliver at a tertiary care centre. Our analysis is based on a single large tertiary hospital in Guangzhou metromunicipal region rather than a population-based setting. We had consistent measurements of HC at birth, but follow-up information on head growth after discharge from hospital was not available. Although there may be issues with generalisability, our study adds to the portrait of microcephaly in China, using a multiyear cohort of hospital live births with no documented evidence of Zika. In addition, we could not adjust for indicators of SES apart from education.

In conclusion, we found a high prevalence of absolute, relative and mild microcephaly in a predominantly Cantonese birth cohort in China. Several risk factors including in utero exposure to teratogens, IUGR and TORCH agent played a role in the elevated rate of microcephaly. Relative and absolute microcephaly were associated with diverse risk factor profiles and neonatal outcomes, but these factors were not related to mild microcephaly. Our findings suggest that in addition to pre-eclampsia, in utero exposure to teratogens and infectious agents were the largest contributors to absolute microcephaly. Preventable risk factors such as teratogens and TORCH agents highlight the importance of prenatal screening for abnormal fetal brain development. The high prevalence of relative microcephaly and associated poor outcomes at birth suggests that women of Cantonese origin merit closer clinical management and follow-up to maximise fetal head development during pregnancy.