Diagnosis, management and care of hypertensive disorders of pregnancy (HDP): An Indian Expert Opinion
Bibliographic record
Abstract
Aim: To develop a guiding tool for the screening, diagnosis, management and care of hypertensive disorders of pregnancy (HDP) by Indian expert panel consensus. Materials and Methods: Databases such as PubMed, Medline, the Cochrane library and Google Scholar were searched for literature on HDP. Guidelines on HDP from Sri- Lanka, Bahrain, Singapore, Malaysia, Federation of Obstetric and Gynecological Societies of India (FOGSI), Japan, Canada, Australia, US, Europe, and others were studied and discussed as reference documents. A 14 member committee of Gynecology and Obstetrics experts was formed in scientific collaboration with Wockhardt Ltd., Mumbai (India) to prepare an expert opinion on HDP for India. The panel discussed hypertension (HTN) for a) classification b) techniques of monitoring BP c) when to start antihypertensive d) diagnostic tests e) important management and type of medical care needed in pre, during and post pregnancy. The panel also compared the guidelines of different countries to discuss the differences and similarities in management of HTN mainly focusing preeclampsia (PE). Results: The panel recommended NICE guidelines to classify HTN. The panel also advised to follow the antenatal care (ANC) guidelines and perform thorough clinical examination of the patient on first visit preferably in first trimester and then subsequent visits during the pregnancy. The panel emphasized on the measurement of BP with standard mercury sphygmomanometer in the sitting posture. Since PE has a higher incidence in India, a minimum of four antenatal care visits and initial screening (BP and proteinuria) at 8 to 12 weeks of gestation for early diagnosis of hypertension are advised. The panel suggested that the target BP should be 130-150 / 80-100 mm Hg on antihypertensive therapy. Either labetalol or methyldopa should be used as first line treatment during third trimester of pregnancy. However, during second trimester methyldopa should be used as the first line treatmen
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".