Acute Kidney Injury in Term Babies with Persistent Pulmonary Hypertension of the Newborn
Bibliographic record
Abstract
OBJECTIVE: The study aimed to determine the prevalence of acute kidney injury (AKI) in term neonates with persistent pulmonary hypertension of the newborn (PPHN), to identify the probable risk factors, and to find its relation to mortality. METHODS: The study recruited 758 term neonates admitted to the neonatal ICU (NICU). Diagnosis of PPHN was established on the basis of clinical and echocardiographic criteria. For diagnosis of AKI, we adopted the modified Kidney Disease: Improving Global Outcomes (KDIGO) AKI definition. This definition has three grades of AKI severity depending on degree of serum creatinine rise and urinary output. Patients were followed until they died or discharged from NICU. RESULTS: Among the 758 term neonates included in the study, there were 47 babies (6.2 %) fulfilling the criteria of PPHN. AKI was reported in 16 patients (34.0 %) and the reported mortality rate was 31.9 %. Neonates with AKI had significantly higher mortality rate when compared with patients without AKI (75.0 % versus 9.7 %; p = 0.0001). A significant association was noted between severe grades of PPHN and AKI. CONCLUSIONS: AKI is prevalent in neonates with PPHN. It is significantly associated with mortality. There is suggested link between AKI and severity of PPHN.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| 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".