The Effect of Season on the Prevalence of Preeclampsia

Shahgheibi, Sholeh; Rezaie, Mohammad Jafar; Kamangar, Tara Molanaie; Zarea, Shamsi; Yousefi, Seyedeh Reyhaneh

doi:10.14740/jcgo408w

Cited by 10 publications

(5 citation statements)

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“…The prevalence of PE in our sample was 4.79% which was higher than neighboring countries such as Iran (4%) and Jordan (1.3%) [16], [17]. Furthermore, our prevalence was further higher than other developing countries such as Angola (0.85%) and Niger (1.08%) [9].…”

Section: Discussioncontrasting

confidence: 54%

Iraqi Women with Preeclampsia: Maternal and Neonatal Outcomes

Majeed

Jasim

Al-Momen

et al. 2020

Open Access Maced J Med Sci

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BACKGROUND: Preeclampsia (PE) is a possible etiology of obstetrical and neonatal complications which are increased in resource-limited settings and developing countries. AIM: We aimed to find out the prevalence of PE in Iraqi ladies and specific outcomes, including gestational weight gain (GWG), cesarean section (CS), preterm delivery (PD), and low birth weight (LBW). METHODS: All singleton pregnant women visiting our tertiary center for delivery were involved over 3 years. PE women were compared with non-PE ladies. Complete history and examination were done during pregnancy and after delivery by the attending obstetrician and neonatologist with full documentation in medical records. RESULTS: PE prevalence was 4.79%, and the affected women had significant (p < 0.05) higher age, body mass index, and GWG, but lower gestational age at delivery. The mean significant difference of GWG in PE and non-PE patients was 1.82 kg. PD and LBW had significant higher frequencies in PE. After considering several confounding factors, crude and adjusted odds ratio (OR) of PE with 95% confidence interval (95% CI) were significant in CS (crude OR = 2.25 and 95% CI = 1.42-2.87 while adjusted OR = 2.89 and 95% CI = 1.43–3.06) and PD (crude OR = 2.41 and 95% CI = 1.73–2.46 while adjusted OR = 3.96 and 95% CI = 2.65–6.37). On the other hand, only the crude model touched significance in LBW (crude OR = 3.67 and 95% CI = 2.51–4.99). CONCLUSIONS: Prevalence of PE in Iraqi pregnant females was higher than other neighboring developing countries. In PE ladies, maternal parameters, including GWG and operative delivery, and neonatal complications, including PD and LBW, were significantly higher than pregnant women without PE.

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Section: Discussioncontrasting

confidence: 54%

Iraqi Women with Preeclampsia: Maternal and Neonatal Outcomes

Majeed

Jasim

Al-Momen

et al. 2020

Open Access Maced J Med Sci

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“…8 The incidence was higher at 7.9% in the dry season than 6.7% in the wet season and this was consistent with reports by other researchers. 8,14,15 Higher rate of preeclampsia was reported during the dry season in Kinshasa DRC. 10 The researchers opined that Low temperature can be viewed as an aggravating factor instead of a cause of preeclampsia.…”

Section: Discussionmentioning

confidence: 96%

Seasonal variations in the incidence of preeclampsia-eclampsia in Bayelsa state in the Niger Delta Region of Nigeria

Eugene¹,

Isaac²

2020

IJOGR

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Preeclampsia is one of the leading causes of fetal and maternal morbidity and mortality mostly in the less developed settings. It is a common confounding disorder of pregnancy complicating 3-10% of pregnancies worldwide. Its pattern and etiology are still very unclear. To investigate the influence of the seasonal variations as defined by atmospheric temperature, air relative humidity and mean rainfall on the incidence of preeclampsia-eclampsia. This was a case series observational study that took place in a tertiary hospital between 2012 and 2019. Analyzed data was extracted from the hospital admission and discharge records of the preeclampsia-eclampsia women who delivered at the study center in the study period. Meteorological variables were atmospheric temperature, relative humidity and rainfall. The season was stratified into the wet humid season (April-October) and the dry hot season (November-March) based on these weather parameters. The seasons and the months were independent variables while the incidence of preeclampsia was the dependent variable. From our data the incidence of preeclampsia-eclampsia was 7.2%. The mean values were 6.7% and 7.9% for wet and dry seasons respectively. The incidence of preeclampsia-eclampsia was on the increase over the years of this data. The monthly peak incidences in each year within the study period were consistently recorded in the months of February, August and December respectively.The rate of occurrence of preeclampsia–eclampsia appeared to vary with the seasons. The incidence appeared to be higher in the dry season with peaks at inter-seasonal periods.

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“…These other risk factors might be considered as exclusion criteria if the researcher really wants to know the depth or extension of the infl uence of the season on the incidence of preeclampsia, or as a multivariate analysis to determine the characteristics that infl uence the incidence of preeclampsia in this particular season in Indonesia, especially the city of Surabaya. The authors also suggest adding data on the highest rainfall in the year according to BMKG to fi nd out the number of preeclampsia cases in the months with the highest rainfall, whether it increases or remains, and can be related to the results of cross-tests between seasons and preeclampsia 18,19 . Because of the limitations of this study, the authors call for further research to discuss the characteristics of other risk factors for preeclampsia in order to fi nd out more about the things that infl uence the occurrence of preeclampsia, especially in patients of Dr. Soetomo Teaching Hospital Surabaya.…”

Section: Figure 4: Comparison Of the Number Of Preeclampsia Per Month In 2017-2018mentioning

confidence: 99%

Correlation between Seasons and the Prevalence of Preeclampsia at Tertiary Hospital, Indonesia

2020

IJFMT

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Background: Preeclampsia is the second most common cause of maternal mortality following postpartum hemorrhage. In East Java alone the maternal mortality rate due to preeclampsia was 31%. Some studies explain that the incidence of preeclampsia can be caused by seasonal variations, whereas other studies say that seasonal factors can be a protective factor for preeclampsia.Objective: To find out how seasons relate to the prevalence of preeclampsia.Method: A descriptive analytic study using medical record data during. The sample meets the inclusion criteria, namely pregnant women with preeclampsia, severe preeclampsia, chronic hypertension with superimposed severe preeclampsia, or eclampsia. The exclusion criteria were pregnant women with chronic hypertension or gestational hypertension. The sampling technique used was total sampling and crosssectional design with observation method using secondary data from medical records. Data was processed using IBM SPSS Statistics and presented narratively. Results:Respondents who experienced preeclampsia in the dry season were 558 people or 19.3% and those who did not experience preeclampsia were 844 people or 29.2% The results of data analysis with statistical tests using Chi-Square obtained a significance value or p-value of 0.091 (p> 0.05). Conclusion:No correlation between seasonality and the prevalence of preeclampsia.

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The Effect of Season on the Prevalence of Preeclampsia

Cited by 10 publications

References 0 publications

Iraqi Women with Preeclampsia: Maternal and Neonatal Outcomes

Iraqi Women with Preeclampsia: Maternal and Neonatal Outcomes

Seasonal variations in the incidence of preeclampsia-eclampsia in Bayelsa state in the Niger Delta Region of Nigeria

Correlation between Seasons and the Prevalence of Preeclampsia at Tertiary Hospital, Indonesia

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