| Literature DB >> 31886054 |
Shoaibunnisa Soomro1, Raj Kumar2, Hazooran Lakhan1, Faizan Shaukat3.
Abstract
Introduction Pakistan has the third-highest incidence of maternal, fetal, and child mortality, according to a recent systemic analysis of global mortality. Thirty-four percent of maternal deaths are attributed to eclampsia among those who are admitted into tertiary care hospitals in Pakistan for delivery. In this study, we determine the risk factors associated with pre-eclampsia and eclampsia in the rural city of Sukkur, Pakistan. Methods and materials In this prospective observational study, a semi-structured questionnaire was developed to record information about maternal age, education status, parity, the status of chronic hypertension, gestational diabetes, anemia, body mass index (BMI), and history of cardiac disease of all women attending the antenatal clinic. Women diagnosed with pre-eclampsia and eclampsia were placed in a group, and their characteristics were compared with women with any pre-eclampsia and eclampsia. Results The incidence of pre-eclampsia and eclampsia was 5.6% (n=112/2212). Identified risk factors for pre-eclampsia and eclampsia included hypertension (28.7%), gestational diabetes (25.9%), anemia (14.9%), maternal age > 35 years (9.3%), BMI greater than 30 kg/m2 (8.1%) and 35 kg/m2 (11.7%), nulliparity (6.5%), unbooked status (i.e., lack of antenatal care; 6.4%), and low education level (5.8%). Conclusion It is important to identify the markers for pre-eclampsia and eclampsia, as they will help physicians and caregivers to reduce maternal and fetal mortality and the complications associated with it.Entities:
Keywords: eclampsia; hypertensive disorder of pregnancy; pakistan; preeclampsia
Year: 2019 PMID: 31886054 PMCID: PMC6903886 DOI: 10.7759/cureus.6115
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Risk factors for pre-eclampsia and eclampsia
| Characteristics | Total no. of patients (n=2012) | Patients with eclampsia/pre-eclampsia (n=112) |
| Maternal age (years) | ||
| <20 | 418 (20.7%) | 13 (3.1%) |
| 20 to 29 | 981 (48.7%) | 49 (4.9%) |
| 30 to 34 | 301 (14.9%) | 21 (6.9%) |
| ≥35 | 312 (15.5%) | 29 (9.3%) |
| Education | ||
| None | 1214 (60.3%) | 71 (5.8%) |
| Primary | 501 (24.9%) | 28 (5.5%) |
| Secondary | 246 (12.2%) | 11 (4.5%) |
| Tertiary | 51 (2.5%) | 2 (3.9%) |
| Body Mass Index (BMI kg/m2) | ||
| <20 | 517 (25.6%) | 13 (2.5%) |
| 20 to <26 | 714 (35.4%) | 23 (3.2%) |
| 26 to <35 | 421 (20.9%) | 34 (8.1%) |
| ≥35 | 360 (17.8%) | 42 (11.6%) |
| Parity | ||
| Nulliparous | 917 (45.5%) | 61 (6.5%) |
| Multiparous | 1095 (54.4%) | 51 (4.6%) |
| Chronic hypertension | ||
| Yes | 21 (1.0%) | 6 (28.7%) |
| No | 1991 (98.9%) | 106 (5.3%) |
| Gestational diabetes | ||
| Yes | 27 (1.3%) | 7 (25.9%) |
| No | 1985 (98.6%) | 105 (5.2%) |
| Cardiac disease | ||
| Yes | 9 (0.4%) | 2 (22.2%) |
| No | 2003 (99. 5%) | 110 (5.4%) |
| Severe anemia | ||
| Yes | 161 (8.0%) | 24 (14.9%) |
| No | 1851 (92.0%) | 88 (4.7%) |
| Booking status | ||
| Booked | 701 (32.8%) | 38 (5.4%) |
| Unbooked | 1311 (65.2%) | 84 (6.4%) |