The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Preeclampsia Incidence and Its Maternal and Neonatal Outcomes With Associated Risk Factors
Open accessAbstract
Background and objective Preeclampsia is a hypertensive disorder that usually arises after 20 weeks of pregnancy. It is considered a major cause of maternal and fetal mortality worldwide. High blood pressure and high proteinuria are the two main characteristics of preeclamptic patients. Preeclampsia leads to either severe or mild conditions, but in both cases, it affects the organs of the mother and fetus. This study was conducted to determine the prevalence of preeclampsia and associated risk factors (family history, age, hypertension, and diabetes) and to investigate its fetal and maternal outcomes. Methodology This prospective study was conducted at three healthcare units in the Multan district and involved patients with gestational hypertension. Patients were diagnosed on the basis of blood pressure values, urine tests, and through Doppler ultrasound. Further investigations were conducted, including a complete hemogram and a 24-hour test for proteinuria. Results for preeclampsia-related maternal and perinatal outcomes were documented and statistical analysis was performed to analyze the data. Results A total of 142 patients were diagnosed with gestational hypertension and preeclampsia during the two-year study period. Our findings showed 8.67% cases of gestational hypertension and 3% of preeclampsia. The majority of the preeclamptic patients were less than 24 years of age (33.3%), belonged to lower socioeconomic classes (44.4%), and had low educational levels (81.1%). A close association of family history (36.67%) with diabetes (15.5%) and chronic hypertension (5.55%) was observed in these patients. Maternal and fetal outcomes were related to maternal blood pressure. A significant incidence of premature births (45.6%) and a majority of cesarean cases (63.4%) with severe complications were observed. Data from preeclamptic patients showed high albuminuria levels (42.2%) with problems like renal infection, pulmonary edema, and severe anemia. During the study period, a neonatal death rate of 11.1% was observed as well as issues like respiratory tract syndrome, asphyxia, and growth retardation. Conclusion This study showed that poor economic and educational levels are significantly associated with this disease. A high rate of maternal and neonatal morbidity with neonatal mortality was investigated. Mild to severe outcomes were observed in the form of cesarean deliveries and preterm births. Serious complications lead to ICU admissions causing a serious burden on healthcare units. Paying more attention to the healthcare needs of pregnant women helps to identify preeclampsia earlier and also minimizes the complications associated with it.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rana (2019) · doi:10.1161/circresaha.118.313276 · Cited by 2,095
Antiplatelet agents for prevention of pre-eclampsia: a meta-analysis of individual patient data
Askie, L. M., Duley, L., Henderson-Smart, D. J., & Stewart, L. A. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60712-0 · Cited by 1,020
The two-stage placental model of preeclampsia: An update
Staff, A. C. (2019) · Journal of Reproductive Immunology · doi:10.1016/j.jri.2019.07.004 · Cited by 640
Osungbade, K. O., & Ige, O. K. (2011) · Journal of Pregnancy · doi:10.1155/2011/481095 · Cited by 429
Weissgerber, T. L., & Mudd, L. M. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0579-4 · Cited by 390
Ramos, J. G. L., Sass, N., & Costa, S. H. M. (2017) · Revista Brasileira Ginecologia e Obstetrícia · doi:10.1055/s-0037-1604471 · Cited by 186
The Risks Associated With Obesity in Pregnancy
Stubert, J., Reister, F., Hartmann, S., & Janni, W. J. (2018) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.2018.0276 · Cited by 172
Prevalence of preeclampsia and the associated risk factors among pregnant women in Bangladesh
Mou, A. D., Barman, Z., Hasan, M., Miah, R., Hafsa, J. M., Trisha, A. D., & Ali, N. (2021) · Scientific Reports · doi:10.1038/s41598-021-00839-w · Cited by 167
Preeklampsja – choroba kobiet w ciąży
Filipek, A., & Jurewicz, E. (2018) · Postępy Biochemii · doi:10.18388/pb.2018_146 · Cited by 119
Belay, A. S., & Wudad, T. (2019) · Clinical Hypertension · doi:10.1186/s40885-019-0120-1 · Cited by 97
Cited by
Importance of STAT3 signaling in preeclampsia (Review)
Marzioni, D., Piani, F., Simone, N. D., Giannubilo, S. R., Ciavattini, A., & Tossetta, G. (2025) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2025.5499 · Cited by 62
Mazumder, H., Rimu, F. H., Shimul, M. M. H., Das, J., Gain, E. P., Liaw, W. R., & Hossain, M. M. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.169792 · Cited by 37
Performance of machine‐learning approach for prediction of pre‐eclampsia in a middle‐income country
Torres‐Torres, J., Villafán-Bernal, J. R., Martinez-Portilla, R. J., Hidalgo-Carrera, J. A., Estrada‐Gutiérrez, G., Adalid‐Martinez‐Cisneros, R., Rojas‐Zepeda, L., Acevedo‐Gallegos, S., Camarena‐Cabrera, D. M., Cruz, Y., et al. (2023) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.27510 · Cited by 28
Risks and outcomes of pregnancy in neuromyelitis optica spectrum disorder: A comprehensive review
Siriratnam, P., Huda, S., Butzkueven, H., van der Walt, A., Jokubaitis, V., & Monif, M. (2023) · Autoimmunity Reviews · doi:10.1016/j.autrev.2023.103499 · Cited by 21
Scoping Review of Microbiota Dysbiosis and Risk of Preeclampsia
Jordan, M., Amabebe, E., Khanipov, K., & Taylor, B. D. (2024) · American Journal of Reproductive Immunology · doi:10.1111/aji.70003 · Cited by 18
Metadata
- Authors
- Khan, B., Allah Yar, R., Khakwani, A. K., Karim, S., & Arslan Ali, H.
- Affiliations
- University of Central Punjab (PK)
- Nishtar Medical College and Hospital (PK)
- Venue
- Cureus
- Published
- 2022-11-06
- Volume
- 14
- Issue
- 11
- Pages
- e31143-e31143
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC9723483
- OpenAlex
- W4308275209
- Cited by
- 95
- References
- 19
- Citations by year
- 2026: 8 · 2025: 34 · 2024: 37 · 2023: 16
- FWCI
- 21.82
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Health Sciences › Medicine › Clinical Neurology › Neurological Complications and Syndromes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Keywords
- preeclampsia, gestational hypertension, preeclampsia incidence, risk factors, family history (medicine), diabetes mellitus, chronic hypertension, proteinuria, albuminuria, maternal outcomes, neonatal outcomes, neonatal mortality, preterm birth, cesarean section, socioeconomic status, maternal education, Multan district, Pakistan, maternal morbidity, neonatal morbidity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Preeclampsia Incidence and Its Maternal and Neonatal Outcomes With Associated Risk Factors. https://app.cochat.ai/papers/10.7759/cureus.31143
- The paper
- Khan, B., Allah Yar, R., Khakwani, A. K., Karim, S., & Arslan Ali, H. (2022). Preeclampsia Incidence and Its Maternal and Neonatal Outcomes With Associated Risk Factors. Cureus. https://doi.org/10.7759/cureus.31143
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.