Left ventricular function many years after recovery from pre-eclampsia
Bibliographic record
Abstract
OBJECTIVE: Epidemiological observations have shown that women with pre-eclampsia are at increased risk for subsequent development of cardiovascular disease. We evaluated maternal haemodynamics in asymptomatic women many years after pre-eclampsia and HELLP (haemolysis, elevated liver enzymes and low platelets) syndrome. DESIGN: Case-control study. SETTING: University-based department of obstetrics. POPULATION: Forty-eight women, 13-18 years after the affected pregnancy: 17 women with a history of HELLP syndrome, 14 women with a history of pre-eclampsia and 17 women following normal pregnancy (control group). METHODS: Echocardiographic examination was performed in all groups, recording the isovolumetric contraction time and isovolumetric relaxation time (ICT + IVRT), ejection time (ET), myocardial performance index (MPI), transmitral early to atrial filling velocity ratio (MV-E/MV-A), stroke volume (SV) and cardiac output (CO). MAIN OUTCOME MEASURES: Cardiac function. RESULTS: Women with previous HELLP syndrome showed a significantly increased MPI (0.34 versus 0.26; P = 0.008) and ICT + IVRT (442.16 versus 415.03; P = 0.01); MV-E/A, SV, ET and CO were not significantly different. Women with a history of pre-eclampsia showed a significantly increased MPI (0.36 versus 0.26; P = 0.006) and decreased ET (317.3 versus 328.93; P = 0.04); ICT + IVRT, MV-E/A, SV and CO were not significantly different. CONCLUSION: This study confirms epidemiological observations that women with pre-eclampsia are at increased risk for subsequent development of cardiovascular disease. Many years after HELLP syndrome or pre-eclampsia, asymptomatic women have an increased risk for impaired cardiac function as shown by an increased MPI.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".