Interventions for non-oliguric hyperkalaemia in preterm neonates
Bibliographic record
Abstract
BACKGROUND: Non-oliguric hyperkalaemia of the newborn is defined as a plasma potassium level > 6.5 mmol/L in the absence of acute renal failure. Hyperkalaemia is a common complication in the first 48 hours of life in very low birth weight (VLBW) (birth weight < 1500 g) and/or very preterm newborns (≤32 weeks gestational age). OBJECTIVES: To determine the effectiveness and safety of interventions for non-oliguric hyperkalaemia [for the purpose of this review defined as serum potassium > 6.0 mmol/L (the clinical setting in which interventions would likely be introduced prior to reaching a grossly abnormal level) and urine output > 0.5 ml/kg/hour] in preterm or VLBW infants during their first 72 hours of life. SEARCH METHODS: The Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, Issue 2, 2006) was searched to identify relevant randomised and quasi-randomised controlled trials. The following data bases were searched in June 2006; MEDLINE from 1966, EMBASE from 1980, CINAHL from 1982. Search updated in June 2011. SELECTION CRITERIA: Randomised or quasi-randomised controlled trials conducted in preterm and/or VLBW neonates with a diagnosis of non-oliguric hyperkalaemia. Interventions included were those aimed at redistributing serum potassium (sodium bicarbonate or insulin and glucose) or increasing the elimination of potassium from the body [diuretics (any type) or ion exchange resins (any type), or exchange transfusion, or peritoneal dialysis, or salbutamol, or albuterol] or counteracting potential arrhythmias from hyperkalaemia (calcium) versus placebo or no intervention; or comparing any two of these interventions. Primary outcome measure was 'All cause mortality during initial hospital stay'. Secondary outcomes included common adverse outcomes seen in preterm infants. DATA COLLECTION AND ANALYSIS: We used the standard review methods of the Cochrane Neonatal Review Group. Two authors assessed all studies identified as potentially relevant by the literature search for inclusion in the review. Statistical methods included relative risk (RR), risk difference (RD), number needed to treat to benefit (NNTB) or number needed to treat to harm (NNTH) for dichotomous and weighted mean difference (WMD) for continuous outcomes reported with 95% confidence intervals (CI). We used a fixed effect model for meta-analysis. Heterogeneity was assessed using the I squared (I(2) ) statistic. MAIN RESULTS: Three randomised trials, enrolling 74 preterm infants (outcome data available on 71 infants) evaluated interventions for hyperkalaemia. Urine output was ascertained in only one study (Hu 1999). In none of the trials could we ascertain that allocation to the comparison groups was concealed. The sample sizes of the three trials were very small with 12 (Malone 1991), 19 (Singh 2002) and 40 infants enrolled (Hu 1999). The intervention and the outcome assessments could not be blinded to the clinical staff in two trials (Malone 1991; Hu 1999).One study (Malone 1991), glucose and insulin, compared to cation-exchange resin, caused a reduction in all cause mortality that was of borderline statistical significance: RR 0.18 (95% CI 0.03 to 1.15); RD -0.66 (95% CI -1.09 to -0.22); NNTB 2 (95% CI 1 to 5)]. In the study of Hu (Hu 1999), the incidence of intraventricular haemorrhage ≥ grade 2 was significantly reduced [RR 0.30 (95% CI 0.10 to 0.93); RD -0.35 (95% CI -0.62 to -0.08); NNTB 3 (95% CI 2 to 13).Albuterol inhalation versus saline inhalation changed serum K+ from baseline at four hours [WMD -0.69 mmol/L (95% CI -0.87 to -0.51)] and at eight hours [WMD -0.59 mmol/L (95% CI -0.78 to -0.40)] after initiation of treatment. No differences noted in mortality or other clinical outcomes (Singh 2002).No serious side effects were noted with either the combination of insulin and glucose or albuterol inhalation. Other interventions listed in our objectives have not been studied to date. AUTHORS' CONCLUSIONS: In view of the limited information from small studies of uncertain quality, no firm recommendations for clinical practice can be made. It appears that the combination of insulin and glucose is preferred over treatment with rectal cation-resin for hyperkalaemia in preterm infants. Both the combination of insulin and glucose and albuterol inhalation deserve further study. The two interventions could possibly be tested against each other. The effectiveness of other potentially effective interventions for non-oliguric hyperkalaemia (diuretics, exchange transfusion, peritoneal dialysis and calcium) have not been tested in randomised controlled trials.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".