42 The accuracy and clinical implications of point-of-care testing in children
Notice bibliographique
Résumé
Abstract Primary Subject area Nephrology Background Point-of-care testing (POCT) is commonly used at our institution to gather data quickly for sick patients, including electrolytes, glucose, and hemoglobin. Serum electrolytes, hemoglobin, and glucose are the gold standard of testing, but the results often lag POCT by a significant time period. Management decisions are made on the results returned by POCT. Thus, it is imperative to determine the accuracy of POCT at our institution. Objectives Determining whether POCT is an accurate and clinically appropriate method to measure electrolytes, glucose, and hemoglobin compared to standard serum testing. Design/Methods This study retrospectively reviewed 128 consecutive patients either assessed in the emergency department or admitted prior to November 1, 2019 who had both POCT and serum electrolytes (+/- glucose, hemoglobin, and lactate) performed within 4 hours of each other. A sample size of 128 was required to determine a difference of 3 mmol/L in sodium for an effect size of 0.5, with 0.05 level of significance and 80% statistical power. Patient demographics and additional labs drawn within 4 hours of POCT were extracted. Paired t-tests were used to compare values between serum testing and POCT for each patient. Secondary kappa coefficient analyses were performed to look at agreement within clinically-determined normal ranges. POCT was performed on Radiometer ABL835 FLEX analyzers, and serum testing on Beckman Coulter DxC 800 analyzers. Results There were 56 males and 72 females; age range 0.01–17.93 years. There were statistically significant differences between POCT and serum values for all electrolytes and hemoglobin, with POCT over-estimating, but not for glucose (Table 1). Within clinically determined normal ranges, there was substantial agreement between POCT and serum potassium, glucose, and hemoglobin, and fair agreement for sodium and bicarbonate (Table 2). Conclusion Our study highlights the importance of verifying abnormal POCT electrolytes and hemoglobin with serum values. Even when POCT values are normal, clinically significant hyponatremia and hypokalemia may not be detected, and when abnormal, hypernatremia and hyperkalemia may be overestimated. In patients with dysnatremia, if diagnosed with serum sodium and monitored with POCT (or vice versa), there is potential for incorrect diagnosis and/or rate of correction with clinical impact. Thus, when following electrolytes and hemoglobin values in a patient, POCT and serum should not be interchanged, and if there is clinical suspicion for these to be abnormal, verification with serum is warranted. Our study is limited to the specific POCT analyzer used, and behaviour of another analyzer may be different.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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