| Literature DB >> 33160306 |
Chen Zhu1, Bin Zhang2, Ting Peng2, Ming-Qing Li3,4, Yun-Yun Ren5, Jiang-Nan Wu6.
Abstract
BACKGROUND: The effect and extent of abnormal placental perfusion (APP) on the risk of male hypospadias are poorly understood. We compared the prevalence of male hypospadias in the offspring of women with APP and quantify the extent of the APP effect on the anomaly.Entities:
Keywords: Abnormal placental perfusion; Hypospadias; Preeclampsia; Retrospective cohort study; Uterine artery
Mesh:
Year: 2020 PMID: 33160306 PMCID: PMC7649004 DOI: 10.1186/s12884-020-03381-1
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Characteristics and prevalence of male hypospadias
| Characteristics | Male Hypospadias ( | ||||
|---|---|---|---|---|---|
| Total no. of infants | No. of cases | Prevalence per 1000 infants (95% CI) | |||
| Placental perfusiona | .03 | ||||
| Normal | 14,186 | 24 | 1.7 (1.0–2.4) | ||
| Abnormal | 1861 | 9 | 4.8 (1.7–8.0) | .01b | |
| NA | 5400 | 10 | 1.9 (0.7–3.0) | .81 | |
| Preeclampsia | .001 | ||||
| No | 20,275 | 36 | 1.8 (1.2–2.4) | ||
| Yes | Mild | 960 | 3 | 3.1 (0.0–6.7) | .26b |
| Severe | 212 | 4 | 18.9 (0.4–37.3) | .001b | |
| Any | 1172 | 7 | 6.0 (1.6–10.4) | .008b | |
| Maternal age at delivery (year) | .34b | ||||
| ≥ 35 | 2145 | 5 | 2.3 (0.3–4.4) | ||
| 25–34 | 18,224 | 38 | 2.1 (1.4–2.7) | ||
| < 25 | 1078 | 0 | 0 | ||
| Residence | .59 | ||||
| Shanghai | 16,536 | 35 | 2.1 (1.4–2.8) | ||
| Other provinces | 4884 | 8 | 1.6 (0.5–2.8) | ||
| Parity | .14 | ||||
| Nulliparous | 18,099 | 40 | 2.2 (1.5–2.9) | ||
| Multiparous | 3348 | 3 | 0.9 (0.0–1.9) | ||
| Gestational diabetes mellitus | >.99b | ||||
| No | 19,616 | 40 | 2.0 (1.4–2.7) | ||
| Yes | 1831 | 3 | 1.6 (0.0–3.5) | ||
| Assisted conception | .18b | ||||
| No | 21,061 | 41 | 1.9 (1.4–2.5) | ||
| Yes | 386 | 2 | 5.2 (0.0–12.3) | ||
NA APP data not available
a Abnormal perfusion insufficiency was defined as any one abnormality of the six markers, which otherwise were normal; b P values for Fisher’s exact tests
Odds ratios of male hypospadias
| Characteristics | Male hypospadias | ||
|---|---|---|---|
| Crude odds ratio (95% CI) | Adjusted odds ratio (95% CI) | ||
| Placental perfusion | |||
| Normal | 1.00 | 1.00 | |
| Abnormal a | 2.87 (1.33–6.18) | 2.40 (1.09–5.29) | |
| NA | 1.10 (0.52–2.29) | 1.12 (0.53–2.37) | |
| Preeclampsia | |||
| No | 1.00 | 1.00 | |
| Yes | Mild | 1.76 (0.54–5.73) | 1.56 (0.47–5.11) |
| Severe | 10.81 (3.82–30.66) | 7.75 (2.62–22.89) | |
| Maternal age at delivery (years) | |||
| ≥ 35 | 1.00 | 1.00 | |
| 25–34 | 0.89 (0.35–2.27) | 0.74 (0.27–1.99) | |
| < 25 | – | – | |
| Residence | |||
| Shanghai | 1.00 | 1.00 | |
| Other provinces | 0.78 (0.36–1.67) | 0.90 (0.41–1.96) | |
| Parity | |||
| Nulliparous | 1.00 | 1.00 | |
| Multiparous | 0.41 (0.13–1.31) | 0.39 (0.11–1.33) | |
| Gestational diabetes mellitus | |||
| No | 1.00 | 1.00 | |
| Yes | 0.80 (0.25–2.60) | 0.68 (0.21–2.23) | |
| Assisted conception | |||
| No | 1.00 | 1.00 | |
| Yes | 2.66 (0.64–11.02) | 1.96 (0.45–8.55) | |
NA Not applicable
a Abnormal placental perfusion was defined as any one abnormality of the six markers, which otherwise were normal
Variant of abnormal placental perfusion and odds ratio of male hypospadias
| Variant of abnormal placental perfusion | Male hypospadias | |||
|---|---|---|---|---|
| No. of infants | No. of cases | Adjusted odds ratio (95% CI) | ||
| Right uterine artery | ||||
| PI | Normal (≤P95) | 15,244 | 28 | 1.00 |
| High (>P95) | 835 | 5 | 2.60 (0.97–6.98) | |
| RI | Normal (≤P95) | 15,348 | 29 | 1.00 |
| High (>P95) | 731 | 4 | 2.34 (0.80–6.85) | |
| EDN | No | 15,942 | 32 | 1.00 |
| Yes | 144 | 1 | 2.27 (0.29–17.65) | |
| Left uterine artery | ||||
| PI | Normal (≤P95) | 15,218 | 28 | 1.00 |
| High (>P95) | 839 | 4 | 2.03 (0.68–5.99) | |
| RI | Normal (≤P95) | 15,267 | 27 | 1.00 |
| High (>P95) | 790 | 5 | ||
| EDN | No | 15,859 | 30 | 1.00 |
| Yes | 226 | 3 | ||
| No. of insufficient markers | ||||
| 0 | 14,186 | 24 | 1.00 | |
| 1 | 663 | 3 | 2.50 (0.75–8.34) | |
| 2 | 872 | 3 | 1.79 (0.53–6.04) | |
| 3 and above | 326 | 3 | 3.59 (0.99–12.95) | |
| Left uterine artery RI and EDN | ||||
| Normal RI and without EDN | 15,112 | 26 | 1.00 | |
| High RI or with EDN | 866 | 6 | ||
| High RI and with EDN | 75 | 1 | 6.33 (0.68–41.70) | |
| Any of high RI and/or with EDN | 941 | 7 | ||
PI Pulsatility index, RI Resistance index, EDN Early diastolic notching
Fig. 1Cumulative risk of male hypospadias across the groups by the number of placental perfusion insufficiency markers and the situation of left uterine artery resistance index (RI) and early diastolic notching (EDN). * P values for the log rank (Mantel-Cox) method compared with the cumulative risk of male hypospadias in the reference group
Estimated size of the effect of abnormal placental perfusion on the risk of male hypospadias (%)a
| No. of population | Direct factor (causal chainb) | Total effect | The effect of abnormal placental perfusion | |||||
|---|---|---|---|---|---|---|---|---|
| Coef. | Standard Error | Coef. | Standard Error | Size of the total effect (%) | ||||
| Infants (16051), any PE (874), APP (1861), anomalies (33) | Any PE (1) | 1.30 | 0.49 | .007 | 0.15 | 0.06 | .009 | 11.54 |
| APP (2) | 1.06 | 0.36 | .003 | 0.95 | 0.34 | .006 | 89.62 | |
| Total (3) | 2.36 | 1.10 | 46.61 | |||||
| Infants (15903), mild PE (726), APP (1792), anomalies (29) | Mild PE (1) | 0.36 | 0.60 | .54 | 0.04 | 0.05 | .37 | 11.11 |
| APP (2) | 0.50 | 0.56 | .38 | 0.49 | 0.55 | .37 | 98.00 | |
| Total (3) | 0.86 | 0.53 | 61.63 | |||||
| Infants (15325), severe PE (148), APP (1730), anomalies (31) | Severe PE (1) | 2.68 | 0.60 | <.001 | 0.30 | 0.16 | .07 | 11.19 |
| APP (2) | 1.01 | 0.35 | .004 | 0.74 | 0.31 | .02 | 73.27 | |
| Total (3) | 3.69 | 1.04 | 28.18 | |||||
PE Preeclampsia, APP Abnormal placental perfusion
aAdjusted for maternal age at delivery (< 25, 25–34, or ≥ 35), residence (Shanghai or other provinces), parity (nulliparous or multiparous), gestational diabetes mellitus (yes or no), assisted conception (yes or no) and gender (male or female). bHypothetical causal chain: causal chain 1: PE was set as direct factor, and APP as indirect factor; causal chain 2: APP as direct factor and PE as indirect factor; causal chain 3: the weight of the coefficient of the effect of APP in chains 1 and 2 was combined when both of the causal chains (1 and 2) work (p value for the coeefficient <0.05)