RESUMO
Background and study aims Peroral endoscopic myotomy (POEM) has become a recognized treatment for achalasia. The technique requires CO 2 insufflation. It is estimated that the partial pressure of CO 2 (PaCO 2 ) is 2 to 5âmm Hg higher than the end tidal CO 2 (etCO 2 ), and etCO 2 is used as a surrogate for PaCO 2 because PaCO 2 requires an arterial line. However, no study has compared invasive and noninvasive CO 2 monitoring during POEM. Patients and methods Seventy-one patients who underwent POEM were included in a prospective comparative study. PaCO 2 plus etCO 2 was measured in 32 patients (invasive group) and etCO 2 only in 39 matched patients (noninvasive group). Pearson correlation coefficient (PCC) and Spearman's Rho were used to calculate the correlation between PaCO 2 and ETCO 2 . Results PaCO 2 and ETCO 2 were strongly correlated: PCC R value: 0.8787 P â≤â0.00001, Spearman's Rho R value: 0.8775, P â≤â0.00001.âWithin the invasive group, the average difference between PaCO 2 and ETCO 2 was 3.39âmm Hg (median 3, standard deviation 3.5), within the 2- to 5-mm Hg range. The average procedure time (scope in to scope out) was increased 17.7 minutes ( P â=â0.044) and anesthesia duration was 46.3 minutes. Adverse events (AEs) included three hematomas and one nerve injury in the invasive group and one pneumothorax in the noninvasive group.âThere were no differences in AE rates between the groups (13â% vs 3â% P â=â0.24). Conclusions Universal PaCO 2 monitoring contributes to increased procedure and anesthesia times without any decrease in AEs in patients undergoing POEM. CO 2 monitoring with an arterial line should only be performed in patients with major cardiovascular comorbidities; in all other patients, ETCO 2 is an appropriate tool.
RESUMO
OBJECTIVE: Racial, gender, and socioeconomic status have been shown to impact the delivery of care. How this impacts the management of hypertensive crisis remains unclear. We aim to identify disparities on admission frequency and length of stay (LOS) among those presenting with hypertensive crisis, as a function of household income. METHODS: This is a cross-sectional analysis of 2016 emergency department visits and supplemental inpatient data from the Nationwide Emergency Department Sample. Median household income quartiles were established. A multivariable logistic regression model was used to estimate odds of admission in each income quartile. A multivariable linear regression model was used to predict LOS. RESULTS: After applying sample weighting, the total number of emergency department visits was 33â727 with 6906, 25â443, and 1378 visits for hypertensive emergency, hypertensive urgency, and unspecified crisis, respectively. There were 13â191, 8889, 6400, 5247 visits in the (first) lowest, second, third , and fourth (highest) income quartiles, respectively. The median age for the study population was 60. The most common comorbidity was chronic kidney disease. Individuals with the highest income, had a lower likelihood of admission, compared with the lowest quartile (adjusted odds ratio: 0.41, 95% CI 0.22-0.74). There was a significant association between income quartile and LOS among hypertensive emergency patients (beta coefficient: 0.407, P value = 0.019). CONCLUSION: In this study, patients with lower income were more likely to be admitted, whereas those with higher income exhibited a longer LOS. Clinicians must be made aware these disparities to ensure equitable delivery of care.