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Record W2303550304 · doi:10.35790/ecl.4.1.2016.10986

KARAKTERISTIK PENDERITA PREEKLAMSIA DI RSUP PROF. Dr. R. D. KANDOU MANADO

2016· article· en· W2303550304 on OpenAlexaboutno aff
Patricia C. Warouw, Erna Suparman, Freddy W. Wagey

Bibliographic record

Venuee-CliniC · 2016
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
Fundersnot available
KeywordsPreeclampsiaMedicineObstetricsIncidence (geometry)GynecologyPregnancyMaternal mortality ratePopulation

Abstract

fetched live from OpenAlex

Abstract: Worldwide there are about 76,000 pregnant women die each year due to preeclampsia and other hypertensive disorders in pregnancy. The incidence rate of preeclampsia in the United States, Canada, and Western Europe ranges from 2-5%. In developing countries, the rate ranges from 4-18% of all pregnancies. In Indonesia, the Maternal Mortality Ratio (MMR) of the period of 2008 to 2012 was 359 deaths per 100,000 live births. The occurrence of preeclampsia in Indonesia is about 3-10% of all pregnancies. This study aimed to determine the characteristics of patients with preeclampsia. This was a retrospective descriptive study. Samples were pregnant women with preeclampsia and had complete medical records at Prof. Dr. R. D. Kandou Hospital during the period of January 1, 2014 until December 31, 2014. The results showed that the number of pregnant women with preeclampsia were 201 people. Mild preeclampsia and severe preeclampsia were most prevalent in the age group of 20-35 years (70% and 61.46%) meanwhile superimposed preeclampsia in the age group of >35 years (78.13%). Preeclampsia was mostly among multiparity. Superimposed preeclampsia was found in 32 cases. Most pregnant women with preeclampsia had a BMI ≥ 30.00. Conclusion: Most preeclampsia cases occured in the age group of 20-35 and> 35 years with multiparity, some had hypertension, and mostly were obese. Keywords: mild preeclampsia, severe preeclampsia, superimposed preeclampsia, age, parity, nutritional status (obesity). Abstrak: Diseluruh dunia sekitar 76.000 wanita hamil meninggal setiap tahun akibat preeklamsia dan gangguan hipertensi lainnya pada kehamilan. Insiden preeklamsia di Amerika Serikat, Kanada, dan Eropa Barat berkisar 2-5% sedangkan di negara berkembang berkisar 4-18% dari semua kehamilan. Di Indonesia Maternal Mortality Ratio (MMR) periode 2008 sampai 2012 sebesar 359 kematian per 100.000 kelahiran hidup. Frekuensi kejadian preeklamsia di Indonesia sekitar 3-10% dari semua jumlah kehamilan. Penelitian ini bertujuan untuk mengetahui karakteristik penderita preeklamsia. Jenis penelitian ini deskriptif retrospektif. Sampel penelitian ialah ibu hamil dengan preeklamsia dan mempunyai data rekam medis lengkap di RSUP Prof. Dr. R.D. Kandou periode 1 Januari 2014 sampai 31 Desember 2014. Hasil penelitian menunjukkan bahwa jumlah ibu hamil dengan preeklamsia 201 orang. PER dan PEB terbanyak ditemukan pada kelompok usia 20-35 tahun (70% dan 61,46%) sedangkan superimposed PE pada kelompok usia >35 tahun (78,13%). Preeklamsi terbanyak pada paritas multigravida. Superimposed PE berjumlah 32 kasus. Ibu hamil dengan preeklamsia terbanyak memiliki IMT ≥30.00. Simpulan: Preeklamsia terjadi pada kelompok usia 20-35 dan >35 tahun dengan paritas multipara, sebagian dengan riwayat hipertensi, dan sebagian besar disertai obesitas.Kata kunci: preeklamsia ringan, preeklamsia berat, superimposed preeklamsia, usia, paritas, status gizi (obesitas).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.317
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2016
Admission routes1
Has abstractyes

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