Automated Electronic Frailty Index-Identified Frailty Status and Associated Postsurgical Adverse Events.

Importance: Electronic frailty index (eFI) is an automated electronic health record (EHR)-based tool that uses a combination of clinical encounters, diagnosis codes, laboratory workups, medications, and Medicare annual wellness visit data as markers of frailty status. The association of eFI with postanesthesia adverse outcomes has not been evaluated. Objective: To examine the association of frailty, calculated as eFI at the time of the surgical procedure and categorized as fit, prefrail, or frail, with adverse events after elective noncardiac surgery. Design, Setting, and Participants: This cohort study was conducted at a tertiary care academic medical center in Winston-Salem, North Carolina. The cohort included patients 55 years or older who underwent noncardiac surgery of at least 1 hour in duration between October 1, 2017, and June 30, 2021. Exposure: Frailty calculated by the eFI tool. Preoperative eFI scores were calculated based on available data 1 day prior to the procedure and categorized as fit (eFI score: ≤0.10), prefrail (eFI score: >0.10 to ≤0.21), or frail (eFI score: >0.21). Main Outcomes and Measures: The primary outcome was a composite of the following 8 adverse component events: 90-item Patient Safety Indicators (PSI 90) score, hospital-acquired conditions, in-hospital mortality, 30-day mortality, 30-day readmission, 30-day emergency department visit after surgery, transfer to a skilled nursing facility after surgery, or unexpected intensive care unit admission after surgery. Secondary outcomes were each of the component events of the composite. Results: Of the 33 449 patients (median [IQR] age, 67 [61-74] years; 17 618 females [52.7%]) included, 11 563 (34.6%) were classified as fit, 15 928 (47.6%) as prefrail, and 5958 (17.8%) as frail. Using logistic regression models that were adjusted for age, sex, race and ethnicity, and comorbidity burden, patients with prefrail (odds ratio [OR], 1.24; 95% CI, 1.18-1.30; P < .001) and frail (OR, 1.71; 95% CI, 1.58-1.82; P < .001) statuses were more likely to experience postoperative adverse events compared with patients with a fit status. Subsequent adjustment for all other potential confounders or covariates did not alter this association. For every increase in eFI of 0.03 units, the odds of a composite of postoperative adverse events increased by 1.06 (95% CI, 1.03-1.13; P < .001). Conclusions and Relevance: This cohort study found that frailty, as measured by an automatically calculated index integrated within the EHR, was associated with increased risk of adverse events after noncardiac surgery. Deployment of eFI tools may support screening and possible risk modification, especially in patients who undergo high-risk surgery.

Automated Frailty Screening At-Scale for Pre-Operative Risk Stratification Using the Electronic Frailty Index.

BACKGROUND: Frailty is associated with numerous post-operative adverse outcomes in older adults. Current pre-operative frailty screening tools require additional data collection or objective assessments, adding expense and limiting large-scale implementation. OBJECTIVE: To evaluate the association of an automated measure of frailty integrated within the Electronic Health Record (EHR) with post-operative outcomes for nonemergency surgeries. DESIGN: Retrospective cohort study. SETTING: Academic Medical Center. PARTICIPANTS: Patients 65 years or older that underwent nonemergency surgery with an inpatient stay 24 hours or more between October 8th, 2017 and June 1st, 2019. EXPOSURES: Frailty as measured by a 54-item electronic frailty index (eFI). OUTCOMES AND MEASUREMENTS: Inpatient length of stay, requirements for post-acute care, 30-day readmission, and 6-month all-cause mortality. RESULTS: Of 4,831 unique patients (2,281 females (47.3%); mean (SD) age, 73.2 (5.9) years), 4,143 (85.7%) had sufficient EHR data to calculate the eFI, with 15.1% categorized as frail (eFI > 0.21) and 50.9% pre-frail (0.10 < eFI ≤ 0.21). For all outcomes, there was a generally a gradation of risk with higher eFI scores. For example, adjusting for age, sex, race/ethnicity, and American Society of Anesthesiologists class, and accounting for variability by service line, patients identified as frail based on the eFI, compared to fit patients, had greater needs for post-acute care (odds ratio (OR) = 1.68; 95% confidence interval (CI) = 1.36-2.08), higher rates of 30-day readmission (hazard ratio (HR) = 2.46; 95%CI = 1.72-3.52) and higher all-cause mortality (HR = 2.86; 95%CI = 1.84-4.44) over 6 months' follow-up. CONCLUSIONS: The eFI, an automated digital marker for frailty integrated within the EHR, can facilitate pre-operative frailty screening at scale.

Postoperative ward monitoring - Why and what now?

The postoperative ward is considered an ideal nursing environment for stable patients transitioning out of the hospital. However, approximately half of all in-hospital cardiorespiratory arrests occur here and are associated with poor outcomes. Current monitoring practices on the hospital ward mandate intermittent vital sign checks. Subtle changes in vital signs often occur at least 8-12 h before an acute event, and continuous monitoring of vital signs would allow for effective therapeutic interventions and potentially avoid an imminent cardiorespiratory arrest event. It seems tempting to apply continuous monitoring to every patient on the ward, but inherent challenges such as artifacts and alarm fatigue need to be considered. This review looks to the future where a continuous, smarter, and portable platform for monitoring of vital signs on the hospital ward will be accompanied with a central monitoring platform and machine learning-based pattern detection solutions to improve safety for hospitalized patients.

Evaluation of a wireless, portable, wearable multi-parameter vital signs monitor in hospitalized neurological and neurosurgical patients.

Unrecognized changes in patients' vital signs can result in preventable deaths in hospitalized patients. Few publications or studies instituting routine patient monitoring have described implementation and the setting of alarm parameters for vital signs. We wanted to determine if continuous multi-parameter patient monitoring can be accomplished with an alarm rate that is acceptable to hospital floor nurses and to compare the rate of patient deterioration events to those observed with routine vital sign monitoring. We conducted a prospective, observational, 5-month pilot study in a 26-bed adult, neurological/neurosurgical unit (non-ICU) in an academic medical center. A patient surveillance system employing a wireless body-worn vital signs monitor with automated nursing notification of alarms via smartphones was used to gather data. Data collected included: alarm rates, rapid response team (RRT) calls, intensive care unit (ICU) transfers, and unplanned deaths before and during the pilot study. Average alarm rate for all alarms (SpO2, HR, RR, NIBP) was 2.3 alarms/patient/day. The RRT call rate was significantly reduced (p < 0.05) from 189 to 158 per 1000 discharges. ICU transfers per 1000 discharges were insignificantly reduced from 53 to 40 compared to the previous 5-month period in the same unit. Similar measures of comparison units did not change over the same period. Although unplanned patient deaths in the study unit were also reduced during the intervention period, this was not statistically significant. Continual, multi-parameter vital signs monitoring can be customized to reduce a high alarm rates, and may reduce rapid response team calls.

Resistance to Propofol Induction in a Patient Taking Modafinil: A Case Report.

After sedation with midazolam, induction of anesthesia with propofol was attempted in a patient taking modafinil. However, even after administration of a total of 6 mg/kg propofol IV, the patient continued to respond to tactile stimulation. Concurrently, the bispectral index was 72. Subsequent administration of low concentration sevoflurane by facemask induced an anesthetic depth that allowed unproblematic insertion of a laryngeal mask airway. Anesthesia for ophthalmologic surgery was maintained with sevoflurane. Modafinil may have caused resistance to propofol because of its effect on neural pathways that activate consciousness. The concentration of sevoflurane required to induce or maintain anesthesia remained unaltered.

Factors that influence efficiency in performing ENT cases: a qualitative and quantitative analysis.

The aim of this study was to assess procedures with high turnover time to procedure time ratios, estimate the effect of productivity changes on case efficiency, and determine causative factors. We specifically focused on suspension direct microlaryngoscopy (SML) (CPT 31526) cases because significantly greater productivity was possible for these cases in terms of ratios. After determining process times, we developed economic scenarios that employed time-reductions, and then assessed involved staff opinions using brainstorming and cause--effect methods. Improving all process times by 30% achieved up to a 50% improvement in revenue and the return on investment in additional scope equipment occurred within 2 months.

Men are more susceptible than women to direct pressure on unmyelinated ulnar nerve fibers.

UNLABELLED: Ulnar nerve injury, the most common form of perioperative peripheral nerve injury, has a 3:1 male/female predominance. Neither the mechanism of perioperative ulnar nerve injury nor the reasons for the increased male susceptibility are well understood. We used an experimental model with arm flexion at the elbow, direct pressure on the ulnar nerve, and arm ischemia as distinct stress mechanisms to induce adverse changes in ulnar current perception thresholds (CPTs) on 3 groups of 40 male and 40 female volunteers (a total of 240 volunteers). CPT measurements were repeated at 2000-, 250-, and 5-Hz stimulating frequencies, specific to A-beta, A-delta, and unmyelinated C-fibers, respectively. Ischemia produced significant increases in CPT with all three stimulating frequencies, and there were no detectable differences between men and women. Flexion failed to produce significant CPT increases at any of the three stimulating frequencies, with no sex-based differences. Direct pressure produced significant CPT increases at 5 and 250 Hz, indicating inhibition of both unmyelinated C-fibers and myelinated A-delta fibers. C-fibers, but not A-delta fibers, demonstrated sex differences with direct pressure; there was a 1.7-fold (95% confidence interval, 1.2- to 2.4-fold) greater effect in men. Ischemia significantly inhibited the function of all three fiber types, perhaps sufficient to overwhelm gender differences. IMPLICATIONS: The ability of direct pressure to produce a greater inhibition of unmyelinated C-fibers in male subjects compared with female subjects is consistent with, and may help explain, the male increased susceptibility to perioperative ulnar nerve dysfunction.