1.
Petridou, Eleni Th., et al.
(author)
In vitro fertilization and risk of childhood leukemia in Greece and Sweden
2012
In: Pediatric Blood & Cancer. - : Wiley. - 1545-5009 .- 1545-5017. ; 58:6, s. 930-936
Journal article (peer-reviewed) abstract
Background Cancer risk in children born after in vitro fertilization (IVF) remains largely unknown. We aimed to investigate risk of leukemia and lymphoma following IVF using two nationwide datasets. Methods. The hospital-based case-control study in Greece derived from the National Registry for Childhood Hematological Malignancies (1996-2008, 814 leukemia and 277 lymphoma incident cases with their 1: 1 matched controls). The Swedish casecontrol study was nested in the Swedish Medical Birth Register (MBR) (1995-2007, 520 leukemia and 71 lymphoma cases with their 5,200 and 710 matched controls) with ascertainment of incident cancer cases in the National Cancer Register. Study-specific and combined odds ratios (OR) were estimated using conditional logistic regression, with adjustment for possible risk factors. Results. Nationwide studies pointed to similar size excess risk of leukemia following IVF, but to a null association between IVF and lymphoma. The proportion of leukemia cases conceived through IVF was 3% in Greece and 2.7% in Sweden; prevalence of IVF in matched controls was 1.8% and 1.6%, respectively. In combined multivariable analyses, the increased risk of leukemia was confined to age below 3.8 years (OR 2.21; 95% confidence interval, CI: 1.27-3.85) and to acute lymphoblastic leukemia (ALL) (OR 1.77; 95% CI: 1.062.95) with no sufficient evidence of excess risk for other leukemias (OR 1.34; 95% CI: 0.38-4.69). Following IVF, OR for ALL was 2.58 (95% CI: 1.37-4.84) before age 3.8 and 4.29 (95% CI: 1.4912.37) before age 2 years. Conclusions. IVF seems to be associated with increased risk of early onset ALL in the offspring.
2.
KC, Ashish, 1982, et al.
(author)
A longitudinal multi-centric cohort study assessing infant neurodevelopment delay among women with persistent postpartum depression in Nepal.
2024
In: BMC medicine. - : BioMed Central (BMC). - 1741-7015. ; 22:1
Journal article (peer-reviewed) abstract
Infant neurodevelopment in the first years after birth is determined by multiple factors, including parental care and maternal mental wellbeing. In this study, we aim to assess the impact of persistent maternal depressive symptoms during the first 3months postpartum on infant neurodevelopment at 6months.Using a longitudinal cohort design, 1253 mother-infant pairs were followed up at 7, 45, and 90days to assess postpartum depressive symptoms using the Edinburgh Postnatal Depression Scale (EPDS); infants were followed up at 6months to assess neuro-developmental status using the WHO's Infant and Young Child Development (IYCD) tool. A generalized linear regression model was used to assess the association between persistent postpartum depressive symptoms and infant neurodevelopmental delay at 6months. A generalized linear mixed model (GLMM) with a hospital as a random intercept was used to assess the persistent postpartum depressive symptoms with an IYCD score. Linear regression was used to compare the IYCD scores between exposure groups.In the study population, 7.5% of mothers had persistent depressive symptoms, and 7.5% of infants had neurodevelopmental delay. Infants born to mothers with persistent depressive symptoms had a higher proportion of neurodevelopmental delay than infants born to women without persistent symptoms (48.6% vs 5.1%; p<0.001). In the adjusted regression model, infants whose mothers had persistent depressive symptoms at 7, 45, and 90days had a 5.21-fold increased risk of neurodevelopmental delay (aRR, 5.21; 95% CI, 3.17, 8.55). Mean scores in the motor domain (12.7 vs 15.2; p<0.001) and language domain (6.4 vs 8.5; p<0.001) were significant when a mother had persistent depression vs. no depression. Mean scores in the general behavioral domain (5.9 vs 10.4, p<0.001) and the socio-emotional domain (15.4 vs 17.7; p<0.001) were significantly different when a mother had persistent depression vs no persistent depression.Our results suggest that 6-month-old infants are at higher risk for neurodevelopment delays if their mother reports persistent symptoms of depression from 7 to 90days postpartum. The neurodevelopmental delay can be observed in all functional domains. Preventive intervention to reduce maternal postpartum depression may reduce the impact on infant developmental delay.
3.
Welander, Nike Zoe, et al.
(author)
Migraine as a risk factor for mixed symptoms of peripartum depression and anxiety in late pregnancy : A prospective cohort study.
2021
In: Journal of Affective Disorders. - : Elsevier. - 0165-0327 .- 1573-2517. ; 295, s. 733-739
Journal article (peer-reviewed) abstract
BACKGROUND: Migraine has been identified as a risk factor for peripartum depression. However, little is known about the contribution of anxiety to this association or potential changes throughout the peripartum period.METHODS: In a sample of 4,831 women from the Biology, Affect, Stress, Imaging and Cognition cohort in Sweden, participants were asked about history of migraine prior to pregnancy. The participants completed the Edinburgh Postnatal Depression Scale (EPDS) at gestational weeks 17 and 32 and postpartum week 6. Multinomial logistic regression analyses were used to assess associations between migraine and symptoms of depression, anxiety or mixed depression and anxiety, while adjusting for potential confounders.RESULTS: In crude estimates, migraine was associated with separate and mixed symptoms of depression and anxiety at most time points. After adjustments, migraine was associated with anxiety at week 17 (adjusted odds ratio: 1.69; 95% confidence interval: 1.11-2.54) and with mixed depression and anxiety at week 32 (adjusted odds ratio: 1.45; 95% confidence interval: 1.06-1.99). None of the other associations remained statistically significant after adjustments.LIMITATIONS: Migraine history was self-reported. Symptoms of depression and anxiety were based on the screening tool EPDS and not on clinical diagnoses.CONCLUSIONS: The results demonstrate that migraine may be a risk factor for anxiety in mid- pregnancy and mixed symptoms of peripartum depression and anxiety in late pregnancy. Inflammatory and hormonal factors may underlie the association between migraine, depression and anxiety across the peripartum period.
4.
Skalkidou, Alkistis, 1977-, et al.
(author)
O-058 46thCongress of the International Society of Paediatric Oncology (SIOP) 2014
2014
In: Pediatric Blood & Cancer. - : John Wiley & Sons. - 1545-5009 .- 1545-5017. ; 61:S2, s. S121-
Journal article (other academic/artistic) abstract
Objectives:Birth weight has been explored as a risk factor for several types of childhood (0-14 years) cancer. This nationwide Swedish cohort study aims to evaluate the associationbetween crude and adjusted characteristics of fetal growth (birth weight, length, headcircumference, ponderal index, small-SGA, appropriate-AGA and large for gestational age-LGA) and non-Hodgkin lymphoma (NHL) risk.Methods:All 3,444,136 singleton live births were included, among whom 515 incident NHLcases aged 0-14 years were diagnosed in 1973-2007, as identified through linkage with theSwedish Cancer Register. Proportional hazards models were used to estimate the HazardRatio (HR) and 95% confidence intervals (95% CI) of NHL. The core multivariable modelincluded infant sex, maternal education and maternal age at delivery, birth order of the indexchild (1þchild) and gestational age, the latter omitted in the analyses with SGA, AGA, LGAvariables, as appropriate.Results:Male sex was associated with a doubled NHL risk (HR¼2.00, 95% CI: 1.66-2.41).LGA birth weight, but not birth weightper se, was associated with an 80% increase in NHLrisk (HR¼1.83, 95%CI: 1.20-2.79). In the subgroup analyses by sex, the latter associationwas confined particularly to females (HR¼3.37, 95% CI: 1.90-5.97). Other growth variableswere not consistently associated with NHL risk, prossibly due to smaller variation ormeasurement errors.Conclusions:Fetal macrosomy seems to represent a considerable risk factor for childhoodNHL, whereas its effect may differ by gender. An approach to assess the association solelyusing crude birth weight, as a proxy, seems inadequate, given that more elaborate LGA indicesmay portray accelerated intrauterine growth as a more meaningful component. Future studiesshould aim at disentangling the physiological mechanisms underlying the relevance of sex-specific associations.
5.
Skalkidou, Alkistis, 1977-, et al.
(author)
Stress-related genetic polymorphisms in association with peripartum depression symptoms and stress hormones : A longitudinal population-based study
2019
In: Psychoneuroendocrinology. - : Elsevier Ltd. - 0306-4530 .- 1873-3360. ; 103, s. 296-305
Journal article (peer-reviewed) abstract
Individual differences in the response of the stress system to hormonal changes during pregnancy and the postpartum period render some women susceptible to developing depression. The present study sought to investigate peripartum depression and stress hormones in relation to stress-related genotypes. The Edinburgh Postnatal Depression Scale was used to assess peripartum depressive symptoms in a sample of 1629 women, followed from pregnancy week seventeen to six months postpartum. Genotypes of ninety-four haplotype-tag single nucleotide polymorphisms (SNPs) in sixteen genes of the hypothalamus-pituitary-adrenal axis pathway were analyzed and data on psychosocial and demographic factors was collected. In sub-studies, salivary cortisol awakening response in gestational week 35–39, salivary evening cortisol levels in gestational week 36 and postpartum week 6, and blood cortisol and cortisone levels in gestational week 35–39 were analyzed. SNP-set kernel association tests were performed at the gene-level, considering psychosocial and demographic factors, followed by post-hoc analyses of SNPs of significant genes. Statistically significant findings at the 0.05 p-level included SNPs in the hydroxysteroid 11-beta dehydrogenase 1 (HSD11B1) gene in relation to self-rated depression scores in postpartum week six among all participants, and serpin family A member 6 (SERPINA6) gene at the same time-point among women with de novo onset of postpartum depression. SNPs in these genes also associated with stress hormone levels during pregnancy. The present study adds knowledge to the neurobiological basis of peripartum depression by systematically assessing SNPs in stress-regulatory genes and stress-hormone levels in a population-based sample of women. © 2019 Elsevier Ltd
6.
Lindström, Linda, 1978-, et al.
(author)
Swedish intrauterine growth reference ranges of biometric measurements of fetal head, abdomen and femur
2020
In: Scientific Reports. - BERLIN, GERMANY : Springer Science and Business Media LLC. - 2045-2322. ; 10:1
Journal article (peer-reviewed) abstract
Ultrasonic assessment of fetal growth is an important part of obstetric care to prevent adverse pregnancy outcome. However, lack of reliable reference ranges is a major barrier for accurate interpretation of the examinations. The aim of this study was to create updated Swedish national reference ranges for intrauterine size and growth of the fetal head, abdomen and femur from gestational week 12 to 42. This prospective longitudinal multicentre study included 583 healthy pregnant women with low risk of aberrant fetal growth. Each woman was examined up to five times with ultrasound from gestational week 12+3 to 41+6. The assessed intrauterine fetal biometric measurements were biparietal diameter (outer-inner), head circumference, mean abdominal diameter, abdominal circumference and femur length. A two-level hierarchical regression model was employed to account for the individual measurements of the fetus and the number of repeated visits for measurements while accounting for the random effect of the identified parameterization of gestational age. The expected median and variance, expressed in both standard deviations and percentiles, for each individual biometric measurement was calculated. The presented national reference ranges can be used for assessment of intrauterine size and growth of the fetal head, abdomen and femur in the second and third trimester of pregnancy.
7.
Salih Joelsson, Lana, et al.
(author)
Investigating the effect of lifestyle risk factors upon the number of aspirated and mature oocytes in in vitro fertilization cycles : interaction with antral follicle count
2019
In: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 14:8
Journal article (peer-reviewed) abstract
There is evidence demonstrating that certain lifestyle factors have a detrimental effect on fertility. Since such factors often coexist, possible synergistic effects merit further investigation. Thus we aimed to examine the cumulative impact of lifestyle factors on in vitro fertilization (IVF) early reproductive treatment outcomes and their interaction with measures of ovarian reserve. Materials and methods By following women who were starting their first fresh IVF cycle in 2 cohorts, the "Lifestyle study cohort" (hypothesis generating cohort, n = 242) and the "UppSTART study" (validation cohort, n = 432) in Sweden, we identified two significant risk factors acting independently, smoking and BMI, and then further assessed their cumulative effects. Results Women with both these risk factors had an Incidence Rate Ratio (IRR) of 0.75 [(95% CI 0.61-0.94)] regarding the number of aspirated oocytes compared to women without these risk factors. Concerning the proportion of mature oocytes in relation to the total number of aspirated oocytes, the interaction between BMI and Antral Follicle Count (AFC) was significant (p-value 0.045): the lower the value of AFC, the more harmful the effect of BMI with the outcome. Conclusions Data shows that there is an individual as well as a cumulative effect of smoking and BMI on the number of aspirated and mature oocytes in fresh IVF treatment cycles. AFC might modify associations between BMI and the proportion of mature oocytes in relation to the total number of aspirated oocytes. These results highlight the importance of lifestyle factors on IVF early reproductive outcomes and provide additional evidence for the importance of preconception guidance for the optimization of IVF cycle outcome.
8.
Andersson, Sam, et al.
(author)
Predicting women with depressive symptoms postpartum with machine learning methods
2021
In: Scientific Reports. - : Springer Nature. - 2045-2322. ; 11:1
Journal article (peer-reviewed) abstract
Postpartum depression (PPD) is a detrimental health condition that affects 12% of new mothers. Despite negative effects on mothers' and children's health, many women do not receive adequate care. Preventive interventions are cost-efficient among high-risk women, but our ability to identify these is poor. We leveraged the power of clinical, demographic, and psychometric data to assess if machine learning methods can make accurate predictions of postpartum depression. Data were obtained from a population-based prospective cohort study in Uppsala, Sweden, collected between 2009 and 2018 (BASIC study, n = 4313). Sub-analyses among women without previous depression were performed. The extremely randomized trees method provided robust performance with highest accuracy and well-balanced sensitivity and specificity (accuracy 73%, sensitivity 72%, specificity 75%, positive predictive value 33%, negative predictive value 94%, area under the curve 81%). Among women without earlier mental health issues, the accuracy was 64%. The variables setting women at most risk for PPD were depression and anxiety during pregnancy, as well as variables related to resilience and personality. Future clinical models that could be implemented directly after delivery might consider including these variables in order to identify women at high risk for postpartum depression to facilitate individualized follow-up and cost-effectiveness.
9.
10.
Bilal, Ayesha, et al.
(author)
Mom2B: a study of perinatal health via smartphone application and machine learning methods
2022
In: European Psychiatry. - : Royal College of Psychiatrists. - 0924-9338 .- 1778-3585. ; 65:S1
Journal article (peer-reviewed) abstract
IntroductionPeripartum depression (PPD) impacts around 12% of women globally and is a leading cause of maternal mortality. However, there are currently no accurate methods in use to identify women at high risk for depressive symptoms on an individual level. An initial study was done to assess the value of deep learning models to predict perinatal depression from women at six weeks postpartum. Clinical, demographic, and psychometric questionnaire data was obtained from the “Biology, Affect, Stress, Imaging and Cognition during Pregnancy and the Puerperium†(BASIC) cohort, collected from 2009-2018 in Uppsala, Sweden. An ensemble of artificial neural networks and decision trees-based classifiers with majority voting gave the best and balanced results, with nearly 75% accuracy. Predictive variables identified in this study were used to inform the development of the ongoing Swedish Mom2B study.ObjectivesThe aim of the Mom2be study is to use digital phenotyping data collected via the Mom2B mobile app to evaluate predictive models of the risk of perinatal depression.MethodsIn the Mom2B app, clinical, sociodemographic and psychometric information is collected through questionnaires, including the Edinburgh Postnatal Depression Scale (EPDS). Audio recordings are recurrently obtained upon prompts, and passive data from smartphone sensors and activity logs, reflecting social-media activity and mobility patterns. Subsequently, we will implement and evaluate advanced machine learning and deep learning models to predict the risk of PPD in the third pregnancy trimester, as well as during the early and late postpartum period, and identify variables with the strongest predictive value.ResultsAnalyses are ongoing.ConclusionsPending results.DisclosureNo significant relationships.
