Ofoma, Uchenna R.

Objectives: Expanded coverage for telehealth during the COVID-19 pandemic allowed providers to bill for telemedicine services that were previously not reimbursable, including telemedicine critical care (TCC) services for critically ill patients. We aimed to characterize TCC billing practices among Medicare beneficiaries before, during, and after the COVID-19 pandemic. Design, Setting, and Patients: This was a serial cross-sectional study of adult Medicare Fee-For-Service beneficiaries with at least one bill for critical care at acute care hospitals from January 2018 to September 2024. TCC billing was identified using provider billing codes; multivariate regression models were used to determine characteristics associated with receipt of TCC. Key outcomes were patient-, provider-, and hospital-level characteristics associated with TCC billing. Interventions: None. Measurements and Main Results: Billing for TCC increased from 0.002% of critical care bills pre-pandemic to 0.01% of critical care bills during and after the pandemic. Patients billed for TCC were disproportionately likely to have COVID-19 but were otherwise relatively similar to critically ill patients not billed for TCC. Internal medicine/critical care providers accounted for the highest proportion of pandemic TCC bills (46.0%). TCC billing occurred more often at minor teaching hospitals (adjusted odds ratio [aOR], 1.21; 95% CI, 1.03–1.43) and at safety-net hospitals (aOR, 1.33; 95% CI, 1.04–1.70). TCC billing was less likely at small-sized hospitals (aOR, 0.39; 95% CI 0.26–0.58) and medium-sized hospitals (aOR, 0.67; 95% CI, 0.47–0.95), government-owned hospitals (aOR, 0.70; 95% CI, 0.57–0.86), for-profit hospitals (aOR, 0.58; 95% CI, 0.48–0.71), rural hospitals (aOR, 0.70; 95% CI, 0.55–0.89), and critical access hospitals (aOR, 0.59; 95% CI, 0.47–0.73). Conclusions: Billing for TCC among hospitalized critically ill Medicare beneficiaries increased during the pandemic but remained low as a proportion of all critical care bills. There was variability in utilization across subspecialties and lesser utilization at rural and critical access hospitals. Further studies are needed to characterize the clinical and economic consequences of this shift.

Background: Little is known about hypoxemia surrounding endotracheal intubation in the critically ill. Thus, we sought to identify risk factors associated with peri-intubation hypoxemia and its effects’ on the critically ill. Methods: Data from a multicenter, prospective, cohort study enrolling 1,033 critically ill adults who underwent endotracheal intubation across 16 medical/surgical ICUs in the United States from July 2015-January 2017 were used to identify risk factors associated with peri-intubation hypoxemia and its effects on patient outcomes. We defined hypoxemia as any pulse oximetry ≤ 88% during and up to 30 minutes following endotracheal intubation. Results: In the full analysis (n = 1,033), 123 (11.9%) patients experienced the primary outcome. Five risk factors independently associated with our outcome were identified on multiple logistic regression: cardiac related reason for endotracheal intubation (OR 1.67, [95% CI 1.04, 2.69]); pre-intubation noninvasive ventilation (OR 1.66, [95% CI 1.09, 2.54]); emergency intubation (OR 1.65, [95% CI 1.06, 2.55]); moderate-severe difficult bag-mask ventilation (OR 2.68, [95% CI 1.72, 4.19]); and crystalloid administration within the preceding 24 hours (OR 1.24, [95% CI 1.07, 1.45]; per liter up to 4 liters). Higher baseline S p O 2 was found to be protective (OR 0.93, [95% CI 0.91, 0.96]; per percent up to 97%). Consistent results were seen in a separate analysis on only stable patients (n = 921, 93 [10.1%]) (those without baseline hypoxemia ≤ 88%). Peri-intubation hypoxemia was associated with in-hospital mortality (OR 2.40, [95% CI 1.33, 4.31]; stable patients: OR 2.67, [95% CI 1.38, 5.17]) but not ICU length of stay (point estimate 0.9 days, [95% CI −1.0, 2.8 days]; stable patients: point estimate 1.5 days, [95% CI −0.4, 3.4 days]) after adjusting for age, body mass index, illness severity, airway related reason for intubation (i.e., acute respiratory failure), and baseline S P O 2 . Conclusions: Patients with pre-existing noninvasive ventilation and volume loading who were intubated emergently in the setting of hemodynamic compromise with bag-mask ventilation described as moderate-severe were at increased risk for peri-intubation hypoxemia. Higher baseline oxygenation was found to be protective against peri-intubation hypoxemia. Peri-intubation hypoxemia was associated with in-hospital mortality but not ICU length of stay. Trial registration: Clinicaltrials.gov identifier: NCT02508948 and Registered Report Identifier: RR2-10.2196/11101.

Abstract Rationale Provider decisions about patients to be discharged from the intensive care unit (ICU) are often based on subjective intuition, sometimes leading to premature discharge and early readmission. The Stability and Work Load Index for Transfer (SWIFT) score, as a risk stratification tool, has moderate ability to predict patients at risk of ICU readmission. Objectives To describe findings following the incorporation of the SWIFT score into the discharge workflow of a medical ICU. Methods The study involved 5,293 consecutive patients discharged alive from the medical ICU of an academic medical center. The SWIFT score and associated percentage risk for readmission were incorporated into daily rounds for purpose of discharge decision-making. We measured readmission rates before and after implementation and observed changes in provider discharge decisions for individual patients after SWIFT discussions. Measurements and Main Results Baseline (n = 1,906) and implementation (n = 1,938) cohorts differed with respect to APACHE III scores (P = 0.03). In the implementation cohort, 26.2% of subjects had SWIFT scores greater than 15 and thus were predicted to have a higher risk of unplanned readmissions. In this high-risk group, 25% had SWIFT discussed in their discharge planning. There was modification of provider discharge decisions in 108 (30%) of cases in which the SWIFT was discussed. SWIFT score values above a prespecified cutoff of 15 were associated with physician tendency to prolong ICU stay or to discharge to a monitored setting (P < 0.001). There was no difference in 24-hour or 7-day readmission rates between the baseline and implementation cohorts (1.9 vs. 2.4%, P = 0.24; 6.5 vs. 7.4%, P = 0.26, respectively) even after adjustment for severity of illness. Conclusions Using the SWIFT score as an adjunct to clinical judgment, physicians modified their discharge decisions in one-third of subjects. Introducing such tools into the discharge workflow may present change management challenges that limit the evaluation of their impact on readmission rates and other relevant ICU outcomes.

Background The etiologies of ischemic stroke remain undetermined in 15% to 40% of patients. Apart from atrial fibrillation, other arrhythmias are less well‐characterized as risk factors. Premature cardiac contractions are known to confer long‐term cardiovascular risks, like myocardial infarction. Ischemic stroke as cardiovascular risk outcome remains a topic of interest. We examined the prospective relationships in the Atherosclerosis Risk in Communities ( ARIC ) study, to determine whether premature atrial ( PAC ) or ventricular ( PVC ) contractions are associated with increased risk for incident ischemic stroke. Methods and Results We analyzed 14 493 baseline stroke‐free middle‐aged individuals in the ARIC public‐use data. The presence of PAC or PVC at baseline was assessed from 2‐minute electrocardiogram. A physician‐panel confirmed and classified all stroke cases. Average follow‐up time was 13 years. Proportional hazards models assessed associations between premature contractions and incident stroke. PAC s and PVC s were identified in 717 (4.9%) and 793 (5.5%) participants, respectively. In all, 509(3.5%) participants developed ischemic stroke. The hazard ratio ( HR ) (95% confidence interval [ CI ]) associated with PVC was 1.77 (1.30, 2.41), attenuated to 1.25 (0.91, 1.71) after adjusting for baseline stroke risk factors. The interaction between PVC and baseline hypertension was marginally significant ( P =0.08). Among normotensives, having PVC s was associated with nearly 2‐fold increase in the rate of incident ischemic stroke ( HR 1.69; 95% CI 1.02, 2.78), adjusting for stroke risk factors. The adjusted risk of ischemic stroke associated with PAC s was 1.30 (95% CI 0.92, 1.83). Conclusions Presence of PVC s may indicate an increased risk of ischemic stroke, especially in normotensives. This risk approximates risk of stroke from being black, male, or obese in normotensives from this cohort.