OS032. Pharmacotherapy for pre-eclampsia in low and middle income countries: An analysis of essential medicines lists (EMLS).
Bibliographic record
Abstract
INTRODUCTION: Pre-eclampsia is the second leading cause of maternal mortality in low and middle income countries (LMIC). Pharmacological management of pre-eclampsia has five major components including antihypertensive therapy for severe and non-severe hypertension, magnesium sulphate for prevention or treatment of eclampsia, treatment of pre-eclampsia-related end-organ complications, antenatal corticosteroids for acceleration of fetal pulmonary maturity given iatrogenic preterm delivery for maternal and/or fetal indications, and labour induction for such indicated deliveries. Essential medicines are defined by the World Health Organization (WHO) as "drugs that satisfy the health care needs of the majority of the population". Essential Medicines Lists (EMLs) detail these essential medicines within an individual country and support the argument that the medication should be routinely available. OBJECTIVES: To determine how many drugs required for comprehensive pre-eclampsia management are listed in national EMLs of LMIC. METHODS: We conducted a descriptive analysis of relevant drug prevalence on identified EMLs. We searched for the national EMLs of the 144 LMIC identified by the World Bank. EMLs were collected by broad based internet searches and in collaboration with the WHO. The EMLs were surveyed for therapies for the different aspects of pre-eclampsia management: hypertension (non-severe and severe with oral or parenteral agents), eclampsia, pre-eclampsia complications (e.g., pulmonary oedema, thrombosis), preterm birth, and labour induction. RESULTS: EMLs were located and reviewed for 58(40.3%) of LMIC. One or more parenteral antihypertensive agents were listed in 51(87.9%) EMLs. The most common agents were: hydralazine (67.2%), verapamil (58.6%), propranolol (39.7%) and sodium nitroprusside (37.9%); parenteral labetalol was listed by only 19.0% of EMLs. The most prevalent oral antihypertensive therapies listed were: nifedipine (96.6%, usually 10 or 20mg intermediate-acting tablets), methyldopa (94.8%), propranolol (89.7%), and atenolol (87.9%). Captopril, enalapril, hydrochlorothiazide and spironolactone were commonly listed. Magnesium sulphate for prevention and management of eclampsia was present in 86.2% of EMLs (and its antidote, calcium gluconate in 82.8%). To manage complications of pre-eclampsia, oral frusemide was listed in 94.8% of EMLs and parenteral heparin in 91.4%. Most EMLs listed parenteral dexamethasone (91.4%) for acceleration of fetal pulmonary maturity and oxytocin (98.3%) or a prostanoid (usually misoprostol, 39.7%) for labour induction. CONCLUSION: EMLs of LMIC provide comprehensive coverage of all aspects of recommended pre-eclampsia pharmacotherapy. These EMLs may be used as advocacy tools to ensure the availability of these therapies within each country.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.007 | 0.019 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".