Volume 64, Issue 1 pp. 56-62
Original Article
Free Access

Perinatal arterial ischemic stroke and periventricular venous infarction in infants with unilateral cerebral palsy

Melissa Vitagliano

Melissa Vitagliano

Faculty of Medicine, McGill University, Montreal, Quebec, Canada

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Mary Dunbar

Mary Dunbar

Department of Pediatrics and Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada

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Sasha Dyck Holzinger

Sasha Dyck Holzinger

Canadian Cerebral Palsy Registry, Research Institute of McGill Health Center, Montreal, Quebec, Canada

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Nicole Letourneau

Nicole Letourneau

Departments of Pediatrics, Psychiatry and Community Health Sciences, Faculty of Nursing and Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada

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Deborah Dewey

Deborah Dewey

Departments of Pediatrics and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada

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Maryam Oskoui

Maryam Oskoui

Department of Pediatrics, McGill University, Montreal, Quebec, Canada

Departments of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada

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Michael Shevell

Michael Shevell

Department of Pediatrics, McGill University, Montreal, Quebec, Canada

Departments of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada

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Adam Kirton

Corresponding Author

Adam Kirton

Department of Pediatrics and Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada

Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada

Correspondence to Adam Kirton at Alberta Children’s Hospital, 2888 Shaganappi Trail NW, Calgary, AB T3B 6A8, Canada. E-mail: [email protected]

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First published: 10 August 2021
Citations: 4

Abstract

en

Aim

To explore clinical factors associated with perinatal arterial ischemic stroke (AIS) and periventricular venous infarction (PVI) in infants who develop unilateral cerebral palsy (CP).

Method

This was a case–control study. Data current to 2019 was extracted from the Canadian Cerebral Palsy Registry (CCPR). Cases were infants born at term with confirmed unilateral CP. Magnetic resonance images were stratified by expert review of reports as definitive perinatal stroke (AIS or PVI). Controls with common data elements were recruited from a population-based study in Alberta. Multivariable regression analyses were performed to estimate associations expressed as odds ratios with 95% confidence intervals.

Results

Of 2093 cases from the CCPR, 662 had unilateral CP, of whom 299 (45%) had perinatal stroke: AIS 169 (57%) and PVI 130 (43%). Median age at diagnosis for AIS was 11.9 months (interquartile range: 6.2–25.7mo; range 0.17–104.1mo), and 58.6% were male. Median age at diagnosis for PVI was 25.3 months (interquartile range: 14.5–38mo, range 0.7–114.7mo) and 57.7% were male. Independent associations for both AIS and PVI on multivariable analysis were chorioamnionitis, illicit drug exposure, diabetes, gestational age, and maternal age. Variables associated with AIS alone were low Apgar score and prolonged rupture of membranes. Variables associated with PVI alone were small for gestational age and primigravida.

Interpretation

Controlled analysis of disease-specific unilateral CP may offer unique perspectives on its pathophysiology. Acute intrapartum factors are mainly associated with AIS, while in utero factors are associated with PVI.

Resumen

es

Objetivo

Explorar los factores clínicos asociados al infarto arterial isquémico perinatal (IAI) e infarto venoso periventricular (IVP) en lactantes que desarrollaron parálisis cerebral unilateral (PC).

Método

Éste es un estudio del casos-controles. Los datos fueron recolectados hasta 2019, se extrajeron del Registro Canadiense de Parálisis Cerebral (CCPR). Los casos fueron niños nacidos a término con PC unilateral. Las imágenes de resonancia magnética fueron estratificadas por la revisión de expertos informadas como evento cerebrovascular perinatal (IAI o IVP). Los controles fueron reclutados de un estudio basado en la población en Alberta. Se realizó un análisis de regresión multivariable para estimar asociaciones expresadas como OR con 95% de intervalos de confianza.

Resultados

De 2093 casos del CCPR, 662 tenían PC unilateral, de los cuales 299 (45%) tuvieron un evento cerebrovascular perinatal: IAI 169 (57%) y IVP 130 (43%). La edad media en el momento del diagnóstico para IAI fue de 11,9 meses (rango entre cuartiles: 6,2–25,7 meses; rango 0,17–104,1meses), y 58,6% eran hombres. La edad media del diagnóstico para IVP era 25,3 meses (rango entre cuartiles: 14.5–38.0 meses, rango 0.7–114.7 meses) y 57.7% eran hombres. Las asociaciones independientes para el IAI y IVP en análisis multivariable eran corioamnionitis, exposición a drogas ilícitas, diabetes, edad gestacional, y edad materna. Las variables asociadas solamente a IAI eran Apgar bajo y ruptura prolongada de membranas. Las variables asociadas solamente eran a IVP eran pequeño para la edad gestacional y primigesta.

Interpretación

El análisis controlado para PC unilateral específica puede ofrecer perspectivas únicas sobre su fisiopatología. Los factores intraparto agudos son principalmente asociados a IAI, mientras que los factores uterinos se asocian a IVP.

Resumo

pt

OBJETIVO

Explorar os fatores clínicos associados ao acidente vascular cerebral arterial isquêmico perinatal (AVC-AI) e infarto venoso periventricular (IVP) em lactentes que desenvolvem paralisia cerebral unilateral (PC).

MÉTODO

Trata-se de um estudo caso-controle. Os dados atuais de 2019 foram extraídos do Registro Canadense de Paralisia Cerebral (RCPC). Os casos foram crianças nascidas a termo com PC unilateral. As imagens de ressonância magnética foram estratificadas por revisão de laudos de especialistas como AVC perinatal definitivo (AVC-AI ou IVP). Controles com elementos de dados comuns foram recrutados de um estudo de base populacional em Alberta. Análises de regressão multivariável foram realizados para estimar associações expressas como taxas de risco com intervalos de confiança a 95%.

RESULTADOS

Dos 2.093 casos do RCPC, 662 tiveram PC unilateral, dos quais 299 (45%) teve AVC perinatal: AVC-AI 169 (57%) e IVP 130 (43%). Idade mediana ao diagnóstico de AVC-AI foi de 11,9 meses (intervalo interquartil: 6,2-25,7m; intervalo de 0,17-104,1m), e 58,6% eram do sexo masculino. A idade mediana ao diagnóstico de IVP foi de 25,3 meses (faixa interquartil: 14,5–38,0m, faixa 0,7–114,7m) e 57,7% eram do sexo masculino. Associações independentes para AVC-AI e PVII na análise multivariada foram corioamnionite, exposição a drogas, diabetes, idade gestacional e idade materna. Variáveis ​​associadas a AIS sozinhos foram escore de Apgar baixo e ruptura prolongada de membranas. Variáveis associados ao PVI isolado foram pequenos para a idade gestacional e primigesta.

INTERPRETAÇÃO

A análise controlada da PC unilateral específica da doença pode oferecer perspectivas únicas sobre sua fisiopatologia. Os fatores intraparto agudos são principalmente associados ao AVC-IP, enquanto os fatores in utero estão associados ao IVP.

Abstract

en

This original article is commented by Ganesan on page 9 of this issue.

This article's abstract has been translated into Spanish and Portuguese.

Follow the links from the abstract to view the translations.

Abbreviations

  • AIS
  • Arterial ischemic stroke
  • APPIS
  • Arterial presumed perinatal ischemic stroke
  • APrON
  • Alberta Pregnancy Outcomes and Nutrition
  • CCPR
  • Canadian Cerebral Palsy Registry
  • GMH
  • Germinal matrix hemorrhage
  • NAIS
  • Neonatal arterial ischemic stroke
  • PROM
  • Prolonged rupture of membranes
  • PVI
  • Periventricular venous infarction
  • SGA
  • Small for gestational age
  • What this paper adds

    • Stroke subtypes carry unique risk factor profiles.
    • Large, controlled registry samples provide opportunities to investigate disease-specific mechanisms of unilateral cerebral palsy.
    • Periventricular venous inaction may be associated with chorioamnionitis, substance use, and gestational diabetes.
    • Intrapartum factors are significantly associated with arterial ischemic stroke.

    Cerebral palsy (CP) is one of the most common causes of childhood physical disability.1 Unilateral CP is the most frequent subtype in infants born at term. Most cases of unilateral CP result from perinatal stroke2 and such disease specificity is required to explore the pathophysiology and advance prevention.

    Perinatal strokes are specific, vascular brain injuries occurring in the fetus or neonate. Acute symptomatic varieties typically present with seizures in the first days after birth and include neonatal arterial ischemic stroke (NAIS), neonatal hemorrhagic stroke, and focal lesions associated with cerebral sinovenous thrombosis, all of which account for approximately 50% of perinatal strokes.3 Presumed perinatal strokes, such as periventricular venous infarction (PVI) and arterial presumed perinatal ischemic stroke (APPIS), present later in infancy or childhood, usually with unilateral CP. The most common varieties are arterial ischemic stroke (AIS) and PVI.4

    The causative mechanisms of perinatal stroke remain poorly understood. AISs are the most thoroughly studied and many are secondary to placental thromboembolism.5-7 Case–controlled studies have explored possible AIS risk factors, but associations have been inconsistent.4, 5, 8-13 The most consistent relate to perinatal adversity including emergency Caesarean section,4, 9-12 resuscitation,4, 10-12 fetal heart rate abnormality,4, 9, 11, 12 meconium staining,4, 8, 9, 11, 12 prolonged second stage of labor,4, 9, 11, 13 and Apgar score of less than 7 at 5 minutes.4, 9-12 However, such general associations fail to define clear mechanisms. PVIs are thought to occur in utero before 32 weeks’ gestation, secondary to germinal matrix hemorrhage (GMH) and secondary venous infarction of the periventricular white matter.14, 15 Controlled risk factor studies have not been completed for PVI.15

    There is a pressing need to explore disease-specific risk factors for perinatal stroke. Without them, options to prevent perinatal stroke remain limited. We employed a large, controlled sample to examine clinical risk factor profiles associated with AIS and PVI. We hypothesized that profiles would differ between groups, with intrapartum factors being associated with AIS.

    METHOD

    Design and participants

    Cases were identified from the Canadian Cerebral Palsy Registry (CCPR). The CCPR is a nationwide database that has been systematically collecting information about children with CP born since 1999 in Quebec and 2007 in other provinces.16 Participating pediatric rehabilitation centers and university hospitals cover broad regions of the Canadian population. Each site identifies, recruits, and collects data on all children with CP presenting for care or services, as described previously.16 Based on internationally accepted criteria for CP, the diagnosis was established at 2 years of age by the site principal investigator and confirmed by age 5 years when possible. The CCPR captures a wide range of common clinical data elements including obstetrical, neonatal, and postpartum factors, in addition to sociodemographic and phenotypic outcomes. Information is collected through parental interviews in combination with systematic reviews of both maternal and child medical charts. Parental written consent was obtained, as well as ethics board approval from the CCPR’s host institution (Research Institute of the McGill University Center), in addition to each respective participating center. For this study, data current to January 2019 was extracted from the CCPR.

    Specific additional methods were applied to identify perinatal stroke cases from the CCPR. First, all registrants with unilateral CP were identified. While evidently not all perinatal strokes lead to unilateral CP,17 the disorder in question in our study (CP) has led us to prioritize strokes affecting motor pathways. From this sample, those born preterm (<35wks) were excluded to eliminate contamination from preterm mechanisms of brain injury. Next, the sample was reduced to only those registrants with confirmed brain magnetic resonance imaging (MRI) and entry of radiology report text into the online data fields. Original MRI from two registry sites (Montreal, Calgary) were independently reviewed to estimate agreement rates with radiology reports that were used for all cases. MRIs were done at the time of clinical presentation as part of the etiological workup. This sample then underwent independent, blinded review of the imaging reports to select cases based on previously reported classification systems18 as definite perinatal stroke, possible stroke, or definitely not stroke. Cases classified as either definite or possible stroke were independently validated by the senior investigator (AK). All cases classified as definite stroke were further subclassified as AIS or PVI, using published imaging criteria.19 Only clear unilateral AIS and PVI lesions were included. Cases of AIS with seizures in the first 72 hours after birth were considered probable NAIS, and those without seizures were considered probable APPIS.

    Controls

    Control data were obtained from the Alberta Pregnancy Outcomes and Nutrition (APrON) study, a prospective, population-based cohort study of healthy pregnancies and children using repeated measures over a 5-year period. Parallel, common data elements of maternal and perinatal health were obtained from 2077 mother–child pairs followed from early pregnancy until the late perinatal period. We have previously demonstrated the direct comparability of CCPR and APrON study data elements for risk factor analysis in perinatal stroke.19

    Variables

    Eighteen potential risk factor variables were selected a priori. Those included were based on all previous controlled studies of perinatal stroke.4, 8-13 Each was defined to conform to a single common data element from the two sources (CCPR and APrON study). Antenatal risk factors included substance use (including tobacco, alcohol, and illicit drugs), gestational age at delivery (35–37wks), and small for gestational age (SGA; birthweight <5th centile). Maternal risk factors included both young (<20y) and advanced (>35y) maternal age, preeclampsia, gestational diabetes, primigravida, and history of miscarriage. Risk factors related to delivery included emergency Caesarean section (any Caesarean that was not elective), maternal fever during delivery, prolonged rupture of membranes (PROM), Apgar score, umbilical cord pH, chorioamnionitis (confirmed by either a positive histopathology report or a clinical diagnosis), and male sex. Cases of AIS were defined as probable NAIS if there were seizures within the first 72 hours after delivery, and probable APPIS if there were not.

    Statistical analyses

    All variables were initially evaluated as dichotomous variables to be compared using Pearson χ2 analysis to assess for initial potential differences in proportions between groups. Univariate odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. For multivariable analysis, cord pH, Apgar score, maternal age, and gestational age were continuous. AIS and PVI were modeled separately with multivariable logistic regression models. Only variables with at least five participants were included, and variables with less than 40% missing values. Models were designed to be inclusive of all biologically plausible variables, regardless of significance in the univariable analysis. For PVI models, where no controlled risk factor studies have been published, the well-supported pathophysiology of fetal occurrence months from delivery lead to the inclusion of different factors with the goal of exploring potential prenatal risk factor profiles. Evidence supports this approach20 to prioritize biologically relevant variables. Variables that were not significant modifiers were removed in a stepwise fashion to account for confounding variables in the final model. Given that a limited number of specific risk factor variables were selected a priori with directional hypotheses, a Bonferroni correction for multiple comparisons was not applied.21 IBM SPSS Statistics 24 (IBM Corp., Armonk, NY, USA) and STATA 15 (STATACorp, College Station, TX, USA) were used for statistical analyses.

    RESULTS

    From the period February 2003 to January 2019, the CCPR enrolled a total of 2093 participants of whom 662 (32%) were classified as having unilateral CP. From this, 152 cases (23%) were excluded because of lack of an MRI report. No apparent variation in case type or severity of perinatal stroke was observed across the country. Approximately 15% of original MRIs were reviewed between two investigative sites, where classification of stroke and stroke type demonstrated 100% agreement with the original classification based on the radiology report alone.

    Of the remaining 510 cases, 342 (67%) had isolated AIS or PVI. Of these, 335 (98%) had sufficient data (>90% fields complete out of 125 variables) available for analyses, whereby 36 cases were excluded as they were born before 35 weeks’ gestation. The remaining 299 cases constituted the primary population for analysis. AIS was diagnosed in 169 (57%) and PVI in 130 (43%) of the eligible cases. Probable NAIS occurred in 36 of 169 (21.3%) cases and probable APPIS in 128 of 169 (78.7%). Median age at diagnosis for AIS was 11.9 months (interquartile range: 6.2–25.7mo; range 0.17–104.1mo), and 58.6% were male. Median age at diagnosis for PVI was 25.3 months (interquartile range: 14.5–38mo, range 0.7–114.7mo) and 57.7% were male. Both arterial and venous populations had a male predominance, though neither reached significance: 99 of 169 (59%, p=0.13) and 75 of 130 (60%, p=0.25) respectively.

    Univariable analyses

    The factors associated with each stroke type are summarized in Tables 1 to 3. Direct comparison of NAIS and APPIS revealed only that a 5-minute Apgar score below 6 was significantly different between these two entities (OR 9.8, 95% CI 2.0–60.8), and for the remainder of the analysis AIS was pooled (NAIS and APPIS) because of low numbers of NAIS cases.

    Table 1. Antenatal clinical factors associated with perinatal stroke: univariable logistic regression
    Variables Control AIS PVI
    Total (n=2077) AIS total (n=169) OR 95% CI p PVI total (n=130) OR 95% CI p
    Tobacco use 113/1925 (5.9) 21/166 (12.7) 2.3 1.3–3.9 0.001 17/126 (13.5) 2.5 1.4–4.4 <0.001
    Alcohol use 134/1888 (7.1) 17/165 (10.3) 1.5 0.8–2.6 0.13 12/124 (9.7) 1.4 0.7–2.6 0.28
    Substance use 14/1933 (0.7) 14/167 (8.4) 12.5 5.4–28.9 <0.001 13/127 (10.2) 15.6 6.6–36.7 <0.001
    SGA 102/2024 (5.0) 12/161 (7.5) 1.5 0.7–2.8 0.19 15/122 (12.3) 2.6 1.4–4.8 <0.001
    • Data are presented as n (%) unless otherwise stated. AIS, arterial ischemic stroke; PVI, periventricular venous infarction; OR, odds ratio; CI, confidence interval; SGA, small for gestational age.
    Table 2. Maternal clinical factors associated with perinatal stroke: univariable logistic regression
    Variables Control AIS PVI
    Total (n=2077) AIS total (n=169) OR 95% CI p PVI total (n=130) OR 95% CI p
    Young maternal agea 12/2027 (0.6) 1/164 (0.6) 1.0 0.02–7.0 0.96 1/127 (0.8) 1.3 0.03–9.1 0.84
    Advanced maternal age 489/2027 (24.1) 32/164 (19.5) 0.8 0.5–1.2 0.18 23/127 (18.1) 0.7 0.4–1.1 0.13
    Preeclampsia 17/2075 (0.8) 6/162 (3.7) 4.7 1.5–12.6 <0.001 4/124 (3.2) 4.0 1.2–11.2 0.003
    Gestational diabetes 82/2075 (4.0) 16/166 (9.6) 2.6 1.4–4.6 <0.001 10/126 (8.0) 2.1 0.94–4.2 0.03
    Primigravida 875/2077 (42.1) 63/165 (38.1) 0.85 0.6–1.2 0.32 38/126 (30.2) 0.6 0.4–0.9 0.008
    History of miscarriage 488/2077 (23.5) 37/165 (22.4) 0.94 0.7–1.4 0.76 35/125 (28.0) 1.3 0.8–1.9 0.25
    • Data are presented as n (%) unless otherwise stated. aVariables removed for analyses as too few participants reported to be reliable. AIS, arterial ischemic stroke; PVI, periventricular venous infarction; OR, odds ratio; CI, confidence interval.
    Table 3. Delivery clinical factors associated with perinatal stroke: univariable logistic regression
    Variables Control AIS PVI
    Total (n=2077) AIS total (n=169) OR 95% CI p PVI total (n=130) OR 95% CI p

    Emergency

    Caesarean section

    262/2077 (12.6) 46/72 (63.9) 12.25 7.3–21.0 <0.001 21/44 (47.7) 6.3 3.3–12.1 <0.001
    Maternal fever during delivery 80/2077 (3.9) 13/152 (8.6) 2.3 1.2–4.4 0.005 5/107 (4.7) 1.2 0.4–3.1 0.67
    Prolonged rupture of membranes 252/2068 (12.2) 12/162 (7.4) 0.58 0.3–1.1 0.07 7/121 (5.8) 0.4 0.2–0.96 0.034
    Apgar score <5 at 5min 13/2064 (0.6) 11/158 (7.0) 11.0 4.4–27.1 <0.001 1/118 (0.8) 1.2 0.02–8.3 0.84
    Cord pH <7a 18/1852 (1.0) 2/100 (2) 2.0 0.2–8.5 0.67 2/78 (1.5) 2.6 0.3–11 0.43
    Chorio-amnionitisa 8/2077 (0.4) 9/115 (7.8) 22.0 7.3–66.5 <0.001 5/82 (6.1) 16.8 4.2–59.5 <0.001
    Male sex 1091/2077 (52.5) 99/169 (58.6) 1.3 0.9–1.8 0.13 75/130 (57.7) 1.2 0.9–1.8 0.25
    Late preterm (35–37wks) 90/1938 (4.4) 11/164 (6.7) 1.5 0.7–3.0 0.19 11/126 (8.7) 2.0 1.0–4.0 0.029
    • Data are presented as n (%) unless otherwise stated. aVariables removed for analyses as too few participants reported to be reliable. AIS, arterial ischemic stroke; PVI, periventricular venous infarction; OR, odds ratio; CI, confidence interval.

    The variables associated with both AIS and PVI on univariable analysis were chorioamnionitis (AIS: OR 22.0, 95% CI 7.3–66.5; PVI: OR 16.8, 95% CI 4.2–59.5); emergency Caesarean section (AIS: OR 12.3, 95% CI 7.3–21.0; PVI: OR 6.3, 95% CI 3.3–12.1); history of illicit drug exposure (AIS: OR 12.5, 95% CI 5.4–28.9; PVI: OR 15.6, 95% CI 6.6–36.7); history of tobacco exposure (AIS: 2.3, 95% CI 1.3–3.9; PVI: OR 2.5, 95% CI 1.4–4.4); and history of diabetes (AIS: OR 2.6, 95% CI 1.4–4.6; PVI: OR 2.1, 95% CI 0.9–4.2). Variables associated with AIS alone were preeclampsia (OR 4.7, 95% CI 1.5–12.6); 5-minute Apgar score of 5 or less (OR 11.1, 95% CI 4.4–27.1); and maternal fever during labor (OR 2.3, 95% CI 1.2–4.4). Variables associated with PVI alone were lower gestational age at delivery (35–37wks) (OR 2.0, 95% CI 0.96–4.0) and SGA (OR 2.6, 95% CI 1.4–4.8). Protective variables included PROM (OR 0.4, 95% CI 0.2–0.96) and primigravida (OR 0.6, 95% CI 0.4–0.9). Other variables evaluated that were not significantly different from controls for either AIS or PVI were history of alcohol exposure, male sex, history of spontaneous abortion, or advanced maternal age. Umbilical cord pH less than 7 and young maternal age had too few cases to assess.

    The presence of one risk factor (any of chorioamnionitis, drug exposure, diabetes, SGA, lower gestational age [35–37wks], or low 5-minute Apgar score) compared to none was associated with an increased OR of both AIS (3.1, 95% CI 1.9–4.8) and PVI (2.7, 95% CI 1.5–4.6) compared to controls. The presence of two or more risk factors compared to none was associated with a greater increased OR of both AIS (11.3, 95% CI 4.8–25.2) and PVI (8.1, 95% CI 2.6–21.4).

    Multivariable analyses

    There were excessive missing values for emergency Caesarean section (57% of AIS, 66% of PVI) and umbilical cord pH (41% of AIS, 40% of PVI), and they were not included in the multivariable models.

    The AIS multivariable analysis is summarized in Table 4. The final multivariable model for AIS included 104 cases and 1876 controls, and included chorioamnionitis, illicit drug exposure, diabetes, maternal fever, PROM, 5-minute Apgar score (continuous), gestational age (continuous), and maternal age (continuous). The following variables were removed from the model as they neither modified nor confounded the odds of AIS: alcohol exposure, history of spontaneous abortion, preeclampsia, primigravida, tobacco exposure, birthweight, male sex, and SGA. Maternal and pregnancy-related variables that increased the OR of AIS were illicit drug exposure (OR 9.0, 95% CI 3.4–23.7) and diabetes (OR 3.0, 95% CI 1.5–6.0). Increasing maternal age was associated with decreased odds of AIS (OR 0.95 per year, 95% CI 0.9–0.99). The intrapartum variable that increased the OR of AIS was chorioamnionitis (OR 16.6, 95% CI 5.0–55.6), and maternal fever confounded the relationship between AIS and chorioamnionitis. PROM decreased the OR of AIS (OR 0.25, 95% CI 0.1–0.63). The neonate variables that were significant were gestational age (OR 0.83 per week, 95% CI 0.72–0.95) and 5-minute Apgar score (OR 0.65 per unit, 95% CI 0.54–0.77).

    Table 4. Multivariable logistic regression of clinical risk factors for perinatal arterial ischemic stroke
    Variables OR 95% CI p
    Antenatal
    Diabetes 3.0 1.5–6.0 0.002
    Substance usea 9.0 3.4–23.7 <0.001
    Gestational age (continuous) 0.83 0.72–0.95 0.01
    Maternal
    Maternal age (continuous) 0.95 0.9–0.99 0.02
    Delivery
    Chorioamnionitis 16.6 5.0–55.6 <0.001
    Maternal fever 1.8 0.77–4.1 0.2
    5-minute Apgar score (continuous) 0.65 0.54–0.77 <0.001
    Prolonged rupture of membranes 0.25 0.1–0.63 0.003
    • All biologically plausible variables were included in the multivariable model, arterial ischemic stroke (AIS) n=104, controls, n=1876. aAcute perinatal risk factors were significantly more common in AIS than controls. OR, odds ratio; CI, confidence interval.

    The PVI multivariable analysis is summarized in Table 5. The final multivariable model for PVI included 78 cases and 1881 controls and included chorioamnionitis, diabetes, history of spontaneous abortion, primigravida, SGA, illicit drug exposure, gestational age (continuous), and maternal age (continuous). PROM was not included in the model as there were too few patients. The following variables were removed from the model because they neither modified nor confounded the odds of PVI: maternal fever, tobacco exposure, 5-minute Apgar score, alcohol, male sex, birthweight, and preeclampsia. Maternal and pregnancy-related variables that increased the OR of AIS were illicit drug exposure (OR 7.4, 95% CI 2.5–22.4) and diabetes (OR 2.4, 95% CI 1.0–5.6). Increasing maternal age was associated with decreased odds of PVI (OR 0.91 per year, 95% CI 0.87–0.96). Primigravida was associated with a reduced odds of PVI (OR 0.4, 95% CI 0.23–0.72), and a history of spontaneous abortion confounded the relationship between primigravida and PVI. The intrapartum variable that increased the odds of PVI was chorioamnionitis (OR 17.5, 95% CI 5.3–57.5). The neonatal variables that were significant were SGA (OR 2.7, 95% CI 1.3–5.5) and gestational age (OR 0.83, 95% CI 0.7–0.97)

    Table 5. Multivariable logistic regression of clinical risk factors for periventricular venous infarction (PVI)
    Variables OR 95% CI p
    Antenatal
    Substance usea 7.4 2.5–22.4 <0.001
    Small for gestational agea 2.7 1.3–5.5 0.008
    Diabetes 2.4 1.0–5.6 0.038
    Gestational age (continuous) 0.83 0.7–0.97 0.02
    Maternal
    Primigravida 0.4 0.23–0.72 0.002
    History of miscarriage 0.8 0.4–1.4 0.45
    Maternal age (continuous) 0.91 0.87–0.96 0.001
    Delivery
    Chorioamnionitis 17.5 5.3–57.5 <0.001
    • All biologically plausible variables were included in the multivariable model, PVI, n=78, controls, n=1880. aAcute perinatal risk factors were significantly more common in PVI than controls. OR, odds ratio; CI, confidence interval.

    DISCUSSION

    The goal of this study was to explore the clinical factors associated with disease-specific perinatal stroke. Our primary findings suggest that stroke subtypes carry unique risk factor profiles, consistent with their different appearance, timing, and hypothesized pathophysiology. Consistent with previous investigations,4, 8-12 we found that AIS was associated with intrapartum variables, supporting mechanisms surrounding the time of birth. As the first controlled study of factors associated with PVI, a profile consistent with timing earlier in gestation was observed.14, 15 Our results demonstrate the potential of large, controlled registries to investigate disease-specific mechanisms of CP. Our observed association between non-specific, birth-related factors and AIS was expected.

    Multiple controlled studies of NAIS,4, 8-12 ranging in sample from 12 to 134 cases, have suggested similar results, though specific factors have been inconsistent. While certainly supporting the fact that many AIS lesions occur close to birth, it is erroneous to suggest that ‘hypoxia’ is a primary causative mechanism, as suggested in previous meta-analyses.22, 23 An alternative hypothesis for why such factors might be associated with both hypoxic–ischemic encephalopathy and perinatal AIS is a shared risk imparted to the fetus for a difficult transition, such as placental disease.

    A leading hypothesis for the pathogenesis of AIS is that of placental thromboembolism. Placental inflammation may be a driver of this risk.5, 24, 25 Placental conditions such as chorioamnionitis, fetal thrombotic vasculopathy, and villitis of unknown origin may lead to thromboembolization into the fetal circulation.4, 26 Our findings suggesting a relationship between chorioamnionitis and AIS support this proposed mechanism. Unfortunately, difficulty in obtaining placental tissue after birth has limited the pathological studies that could demonstrate a clear association with AIS.27 The way in which chorioamnionitis is captured as a variable in the CCPR does not distinguish whether the diagnosis was based on pathological tissue or simply a clinical diagnosis. This limits the extent to which clear conclusions can be drawn with regards to placental thromboembolism and AIS. Somewhat surprisingly, PROM demonstrated a potentially protective effect for AIS (5.8% vs 12.3% of controls). One possible explanation is that mothers with PROM may have received a prophylaxis dose of antibiotics, which may have been protective in this inflammatory disease state.

    Our grouping of both acute and remote presenting AIS is both a strength and weakness. Risk factors for APPIS were essentially unknown with no controlled study to date. One small descriptive study suggested the possible occurrence of factors previously associated with perinatal stroke, but modest power and absence of controls prevented any speculation about the truth or strength of the correlation.15 Arterial ischemia is the most common mechanism of perinatal stroke, approximately 75% of which probably presents acutely as NAIS.28 Of those children, only a minority will develop CP.29 The remaining 25% present later in childhood, usually with motor impairment and are diagnosed with CP. Thus, we would expect that, of children with CP and AIS, approximately 70% would have APPIS and 30% NAIS (Fig. S1, online supporting information). Indeed, by using the CCPR and selecting only those children with atypical motor outcomes, the majority of cases with AIS were also APPIS (128/164, 78%), providing a unique opportunity to include this group that is often neglected in AIS risk factor analysis. That the chronic images of both acute and late presenting arterial strokes are virtually indistinguishable suggests they are likely to reflect the same disease. How our inclusion of late-presenting AIS influences the associations we observed cannot be accurately determined but may explain some differences from previous studies of NAIS only. For example, primigravida was not observed as a risk factor for AIS in our study, but has been reported in multiple previous studies, though inconsistently.4 Perhaps primigravida predisposes females to present with intrapartum complications, which themselves may correspond with AIS. Ongoing studies of APPIS should shed light on this issue.

    This was the first controlled, risk factor analysis of PVI. Congruent with evidence that venous strokes occur earlier in gestation,14, 15 we found associations with a predominance of in utero factors. The proposed pathophysiology of PVI is that of an in utero GMH and subsequent medullary vein compression occurring before 32 weeks’ gestation. Unlike GMH in infants born preterm, where peripartum and intensive care stressors are known risk factors, it is unclear why GMH would occur in the fetus. Our association between infants who are SGA and have PVI is non-specific but potentially plausible, perhaps suggesting co-occurrence of chronic stressors on the fetus. A recent large meta-analysis of antenatally-diagnosed GMH by our group demonstrated an uncomplicated pregnancy in only 38% of PVI cases and several potential co-occurring conditions, including twin gestation and congenital anomalies, but also intrauterine growth restriction.30 We found primigravida was protective in PVI, which may be relevant if a subset of PVI is related to conditions such as fetal alloimmune thrombocytopenia, which has been associated with intracranial hemorrhage in multigravida pregnancies due to alloimmunization.31

    Unexpectedly, the PVI group did show some associations with intrapartum variables, specifically emergency Caesarean section and chorioamnionitis. This could be due, in part, to our limited definition in controls of any Caesarean section that was not elective, indicating that the final numbers may be an overestimation. Alternatively, it may reflect common mechanisms that result in PVI and peripartum fetal distress, such as placental pathology. Chorioamnionitis as a risk factor for PVI could be due to multiple mechanisms. Chorioamnionitis occurring near the end of a late preterm delivery at 35 or 36 weeks may occur before the involution of the germinal matrix and result in the quintessential PVI. Supporting this, we found increased odds of PVI in infants born late preterm compared to at term. Another plausible explanation for chorioamnionitis increasing the odds of PVI is the possibility that a subset of these PVI cases were infants who sustained their injury in the peripartum period due to cerebral sinus vein thrombosis of the medullary veins, for which chorioamnionitis is a risk factor.32 There is increasing evidence to suggest that the initial detection of such strokes is under-recognized and later falsely classified as fetal PVI.33 Future risk factor studies highlighting unique profiles associated with fetal PVI versus neonatal cerebral sinus vein thrombosis are necessary to shed further light on such misdiagnoses.

    Our observed association between maternal substance use and both AIS and PVI merits specific consideration. First is the consideration of a false positive result. The reported substance use in the control group was slightly lower (0.7%) than the 1% to 5% reported average in pregnant Canadians.34 Perhaps our control group was more health-conscious, considering Alberta’s high socioeconomic status and the selection bias toward more educated mothers. However, the rate of maternal substance use was also higher than the Canadian average amongst both stroke types, and the proportion of pregnancies with alcohol use was the same, arguing against an or abstaining control group. Substance abuse has not been systematically investigated in perinatal stroke. The most studied illicit drug has been cocaine, though evidence on outcomes is of very low quality and reports are conflicting.35 There are many hypothesized theories which include suggestions that certain drugs may be damaging to fetal vessels or placental perfusion.35 Unfortunately, agent-specific data were not available in our sample and would be important in future studies.

    Translational implications of our findings include the counselling of parents. Receiving a diagnosis of perinatal stroke has serious consequences on parental mental health, including increased rates of depression and post-traumatic stress disorder.36 Given that the timing of the stroke may be in the peripartum period, mothers may falsely believe they may have done something wrong during their pregnancy, leading to misplaced feelings of blame and guilt. The importance of education and support from health care providers for families of infants with perinatal stroke, therefore, becomes crucial and our results may add valuable content for this discussion. The possible roles of maternal smoking and substance use should obviously be carefully considered, and we would certainly advocate for better evidence before suggesting to a mother that such exposures may have contributed to the child’s stroke.

    Our large, nationwide, controlled sample is both an asset and a liability. Our variables held inconsistent levels of reliability and were subject to selection and self-reporting biases. Future studies with greater representation across sociodemographic variables for controls, or larger prospective cohort studies, would enhance the generalizability of results. Given the complexity of our proposed models of interrelated clinical factors, interpreting associations is challenging. Failing to adjust for intermediate variables quickly biases the associations found, and this becomes especially relevant in perinatal epidemiology.20 It is possible that such limitations have contributed to wider confidence intervals for some of our variables, further highlighting the discretion necessary in interpreting the results. Given the exploratory nature of our study, being transparent about such intricacies is paramount in guiding more definitive studies.

    Our results suggest there are disease-specific differences in clinical factors associated with perinatal stroke. We validated previous associations between AIS and intrapartum factors with the addition of potentially modifiable maternal substance use. We have provided the first controlled data suggesting possible fetal factors in PVI. Causal models in perinatal stroke remain complex and multifactorial and true causation is rarely self-evident.

    ACKNOWLEDGEMENTS

    This work was supported by the Kids Brain Health Network and the Montreal Children’s Hospital. The CCRP sites were supported by Alberta Children’s Hospital (Calgary), the Stollery Children’s Hospital Foundation (Edmonton), the Harvey Guyda Chair in Pediatrics, McGill University (Montreal), and the Sunny Hill Foundation for Children (Vancouver). Funding to establish the APrON study cohort was provided by an interdisciplinary team grant from the Alberta Heritage Foundation for Medical Research. The authors thank the CCPR coordinators for their contribution to the recruitment and enrollment of registry participants. We thank the clinicians, psychometricians, research coordinators, and all other staff who made the APrON study possibly. Most importantly, we also thank the children and their families who participated in this study. We acknowledge the significant contributions of the APrON Study Team whose individual members are BJ Kaplan, CJ Field, D Dewey, RC Bell, FP Bernier, M Cantell, LM Casey, M Eliasziw, M Farmer, A Gagnon, GF Giesbrecht, L Goonewardene, DW Johnston, L Kooistra, C Lebel, N Letourneau, DP Manca, JW Martin, IJ McCargar, M O’Beirne, VJ Pop, and N Singhal. The authors have stated that they had no interests that might be perceived as posing a conflict or bias.

      DATA AVAILABILITY STATEMENT

      The data that support the findings of this study are available from the corresponding author upon reasonable request.

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