A Systematic Review of NT-proBNP as Prognostic Biomarker for Preeclampsia Complications
Bibliographic record
Abstract
Background: Preeclampsia can lead to maternal and fetal complications due to its ability to cause multiple organ disorders. Interestingly, N-terminal pro-brain-type natriuretic peptide (NT-proBNP) levels were higher in preeclampsia than in non-preeclampsia, representing cardiovascular mal¬function as the potential cause. Moreover, NT-proBNP also has a potential role in predicting complications that will arise in preeclampsia. This systematic review was performed to determine the role of NT-proBNP plasma levels in predicting maternal and fetal complications in preeclampsia.Subjects and Method: This systematic review was conducted based on PRISMA-P by previous observational study from scientific databases, namely Hinari, Cochrane Library, ScienceDirect, Scopus, and grey literature in OCLC’s OAISTER between 2006 and 2021. The search keyword used were ((NTproBNP) OR (NT-proBNP) OR (N-terminal pro-BNP) OR (N-terminal pro-Brain Natriuretic Peptide)) AND ((preeclampsia) OR (pre-eclampsia)) AND (pregnancy complications). Newcastle - Ottawa Quality Assessment Scale (NOS) was used to assess quality of included studies.Results: After study selection, five studies from 156 studies were considered eligible and selected in this systematic review. The results showed that pre-eclampsia complications occurred with NT-proBNP levels above 500 mg/dL, which cardiovascular complications may occurred above 700 mg/dL. NT-proBNP levels were higher in women with maternal complications such as placental abruption, HELLP (Hemolysis, elevated liver enzyme levels, and low platelet levels) syndrome, eclampsia, pulmonary oedema, congestive heart failure, cerebrovascular accident, renal dysfunction, and hypertensive retinopathy. Furthermore, increased NT-proBNP levels were associated with fetal growth restriction, resulting in low birth weight. NT-proBNP was significantly higher in pregnant women due to a combination of pre-existing volume overload and NT-proBNP clearance dysfunction in kidney. Conclusion: NT-proBNP levels were associated with adverse outcomes in preeclampsia. NT-proBNP serum levels could be used to predict maternal-fetal complications in preeclampsia. Keywords: preeclampsia, fetal, maternal, complications, NT-proBNP Correspondence: Aiman Hilmi Asaduddin. Faculty of Medicine, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. E-mail: aimanhilmi02@student.uns.ac.id. Phone number: +62 85726562060.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".