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OBJECTIVE: Opioid-related adverse drug events continue to occur. This study aimed to characterize the patient population receiving naloxone to inform future intervention efforts. DESIGN: We describe a case series of patients who received naloxone in the hospital during a 16-week time frame in 2016. Data were collected on other administered medications, reason for admission to the hospital, pre-existing diagnoses, comorbidities, and demographics. SETTING: Twelve hospitals within a large healthcare system. PATIENTS: 46,952 patients were admitted during the study period. 31.01 percent (n = 14,558) of patients received opioids, of which 158 received naloxone. INTERVENTION: Administration of naloxone. Main outcome of interest: Sedation assessment via Pasero Opioid-Induced Sedation Scale (POSS), administration of sedating medications. RESULTS: POSS score was documented prior to opioid administration in 93 (58.9 percent) patients. Less than half of patients had a POSS documented prior to naloxone administration with 36.8 percent documented 4 hours prior. 58.2 percent of patients received multimodal pain therapy with other nonopioid medications. Most patients received more than one sedating medication concurrently (n = 142, 89.9 percent). CONCLUSIONS: Our findings highlight areas for intervention to prevent opioid oversedation. Investing in electronic clinical decision support mechanisms, such as sedation assessment, could detect patients at risk for oversedation and ultimately prevent the need for naloxone. Coordinated order sets for pain management can reduce the percentage of patients receiving multiple sedating medications and promote the use of multimodal pain management in efforts to reduce opioid reliance while optimizing pain control.
Assuntos
Analgésicos Opioides , Naloxona , Humanos , Analgésicos Opioides/uso terapêutico , Fluxo de Trabalho , Estudos Retrospectivos , Dor/tratamento farmacológico , Antagonistas de EntorpecentesRESUMO
BACKGROUND: Achieving pharmacologic rate control in patients with atrial fibrillation (AF) with rapid ventricular response (RVR) can be tricky when the patient's underlying cardiac function is decreased. We present a case illustrating how ivabradine can be useful in this clinical scenario. CASE SUMMARY: A 95-year-old woman with a history of systolic heart failure (HF) presented with acute decompensated HF in AF with RVR. Beta blockade and calcium channel blockade were avoided given her cardiac history, and diuresis with high doses of furosemide was ineffective. Her ventricular response slowed with ivabradine, allowing for rapid decongestion and a safe discharge home. DISCUSSION: Ivabradine acts on the I f current of cardiac pacemaker cells to slow heart rate (HR), and it currently carries a class IIa recommendation to reduce the risk of HF hospitalization and cardiac death in patients with left ventricular ejection fraction ≤35% and a symptomatic HR ≥70 b.p.m. Although current recommendations are for patients in sinus rhythm, ivabradine has a theoretical benefit in patients with AF given its mechanism of action. Because it does not negatively affect inotropy or blood pressure, ivabradine was used in our patient with a good clinical outcome. Our case provides an example of ivabradine's usefulness in patients with AF in RVR with a history of depressed systolic function.
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OBJECTIVE: Features of multisystem inflammatory syndrome in children (MIS-C) overlap with other syndromes, making the diagnosis difficult for clinicians. We aimed to compare clinical differences between patients with and without clinical MIS-C diagnosis and develop a diagnostic prediction model to assist clinicians in identification of patients with MIS-C within the first 24 hours of hospital presentation. METHODS: A cohort of 127 patients (<21 years) were admitted to an academic children's hospital and evaluated for MIS-C. The primary outcome measure was MIS-C diagnosis at Vanderbilt University Medical Center. Clinical, laboratory, and cardiac features were extracted from the medical record, compared among groups, and selected a priori to identify candidate predictors. Final predictors were identified through a logistic regression model with bootstrapped backward selection in which only variables selected in more than 80% of 500 bootstraps were included in the final model. RESULTS: Of 127 children admitted to our hospital with concern for MIS-C, 45 were clinically diagnosed with MIS-C and 82 were diagnosed with alternative diagnoses. We found a model with four variables-the presence of hypotension and/or fluid resuscitation, abdominal pain, new rash, and the value of serum sodium-showed excellent discrimination (concordance index 0.91; 95% confidence interval: 0.85-0.96) and good calibration in identifying patients with MIS-C. CONCLUSION: A diagnostic prediction model with early clinical and laboratory features shows excellent discrimination and may assist clinicians in distinguishing patients with MIS-C. This model will require external and prospective validation prior to widespread use.