Patient-reported outcome measures after thrombectomy in patients with acute stroke: fine-tuning the modified Rankin Scale.

BACKGROUND: In patients with stroke undergoing endovascular treatment (EVT), long-term outcome is usually only evaluated by the modified Rankin Scale (mRS). Patient-reported outcomes (PROMs) are standardized assessments that consider clinical outcomes from the perspective of the patient. We aimed to evaluate PROMs through a smartphone-based communication platform in patients with stroke who received EVT. METHODS: Consecutive patients with stroke who underwent EVT were offered to participate in the PROMs-through-App program (NORA). A set of standardized PROMs were collected at 7, 30 and 90 days after discharge. Disability was determined by clinicians (mRS) at 90 days. To characterize the potential ceiling effect of mRS in the assessment of different domains, the rate of abnormal PROMs among patients with excellent outcome (mRS 0-1) was calculated. RESULTS: From June 2020 to October 2021, 186 patients were included. The median PROMs collection rate per patient was 80% (50-100%). A correlation was consistently seen between disability measured by mRS and the different PROMs. The rate of abnormal PROMs ranged from 20.83% (HADS at 7 days) to 59.61% (Mental PROMIS at 7 days). At 90 days, among patients with an excellent outcome, the rate of abnormal PROMs ranged from 8.7% (HADS) to 47.83% (Physical PROMIS). CONCLUSIONS: A specifically designed digital platform allows a high collection rate of PROMs among stroke patients who underwent EVT. The mRS score shows a ceiling effect and seems insufficient to fine-tune long-term clinical results. The use of PROMs may allow a better characterization of long-term outcome profiles after EVT.

Redefining Disability: Patient-Reported Outcome Measures After Minor Stroke and Transient Ischemic Attack.

BACKGROUND: Long-term outcome assessment patients with stroke is not fully captured by usual clinical scales such as the modified Rankin Scale (mRS). Patient-reported outcome measures (PROMs) are standardized and validated assessments that consider clinical outcomes from the patient perspective. We aim to analyze the added value of PROMs in patients with transient ischemic attack and minor stroke. METHODS: We included consecutive patients with minor stroke or transient ischemic attack (National Institutes of Health Stroke Scale score 0-5) from April 2020 to October 2021 that participated in the PROMs-through-App program (NORA, NoraHealth Barcelona Spain). Clinician and self-evaluated outcomes were assessed at 90 days: clinician-evaluated mRS, self-reported mRS, the 10-item patient-reported outcome measures questionnaire global health survey (v1.2), Hospital Anxiety and Depression Scale, and the Fatigue Assessment Scale. We evaluated the acceptability (response rate), reliability (internal consistency), and construct validity (correlation with mRS and between scales) of each questionnaire. RESULTS: We included 355 patients in the analysis, response rate was patient-reported outcome measures questionnaire 71.3% (253), Hospital Anxiety and Depression Scale 70.7% (251), Fatigue Assessment Scale 71.8% (255), and self-assessed mRS 66.8% (237). PROMS internal consistency was good or excellent, while agreement between clinician and self-reported mRS was fair (k=0.34). Rate of abnormal PROMS scores were as follows (all responders versus clinician-reported mRS score 0-2): patient-reported outcome measures questionnaire mental health (43.1% versus 36.3%), physical health (48.6% versus 43.6%); Hospital Anxiety and Depression Scale-anxiety (21.9% versus 17.7%) and depression (17.1% versus 13.3%); and Fatigue Assessment Scale (40.8% versus 36.4%). PROMs scores correlated with clinician and self-reported mRS at 90 days. CONCLUSIONS: Evaluation of PROMs using a mobile-app-based communication system is a reliable and valid strategy to assess the outcome of patients from their perspective after a mild stroke or transient ischemic attack.

Added value of patient-reported outcome measures (PROMs) after an acute stroke and early predictors of 90 days PROMs.

INTRODUCTION: Value-based health care represents a patient-centered approach by valuing Patient-Reported Outcome Measures (PROMs). Our aim was to describe the additional value of PROMs after an acute stroke over conventional outcome measures and to identify early predictors of poor PROMs. METHODS: Acute stroke patients discharged from a tertiary care hospital followed by a web/phone-based PROMs collection program in the post hospitalization phase. Main PROMs involve anxiety and depression (HADS) (each defined by HADS ≥ 10) and global physical (PHY-) and mental (M-) health (PROMIS-10). PROMIS cut-off raw values of normality were: PHY-PROMIS ≥ 13 and M-PROMIS ≥ 11. An overall health status (OHS) from 0 to 100 was also determined. PROMs related to the different modified Rankin Scale (mRS) grades were defined. Early predictors of PROMs were evaluated. RESULTS: We included 1321 stroke patients, mean age 75 (± 8.6) and 55.7% male; 77.7% returned home. Despite a favorable mRS at 3 months (< 3), a relevant rate of patients considered without symptoms or with mild disability showed unfavorable results in the measured PROMs (8% unfavorable OHS, 15% HAD-depression, 12.1% HAD-anxiety, 28.7% unfavorable M-PROMIS and 33.1% unfavorable PHY-PROMIS results). Along follow-up, only PHY-PROMIS and OHS showed significant improvement (p < 0.01 and 0.03, respectively). The multivariate analysis including discharge variables showed that female sex, higher discharge mRS and discharge to socio-rehabilitation-center (SRC) were independent predictors of unfavorable results in PROMs (p < 0.01). When adding 7 days PROMs results, they emerged as the strongest predictors of 3 months PROMs. CONCLUSIONS: A high proportion of stroke patients show unfavorable results in PROMs at 3 months, even those with favorable mRS, and most results obtained by PROMs during follow-up continued to indicate alterations. Female sex, mRS and discharge to SRC predicted unfavorable results in PROMs, but the strongest predictors of 3 months PROMs were the results of the 7 days PROMs.

COVID-19 Follow-App. Mobile App-Based Monitoring of COVID-19 Patients after Hospital Discharge: A Single-Center, Open-Label, Randomized Clinical Trial.

INTRODUCTION: In the midst of a pandemic, apps can be used to provide close follow-up, ensure that patients are monitored at home, avoid excessive pressure on medical facilities, prevent the movement of people (both patients and health professionals), and reduce the risk of infection. OBJECTIVE: To adapt and validate the use of a smartphone application for outpatient follow-up of COVID-19 patients after hospital discharge. METHODS: We conducted an open-label clinical trial at Hospital Universitari Vall d'Hebron in Barcelona, Spain. Patients were randomly assigned in a 1:1 ratio to be followed by the Farmalarm app or by their primary care center. The primary endpoint was the reduction in the need for in-person return visits. RESULTS: From 31 March to 4 May 2020, 150 patients were enrolled in the study at hospital discharge: 74 patients were randomized to the experimental group, and 76 to the control group. All patients in the control group and all except for six in the experimental group completed the study. During hospitalization, before study inclusion, all but 4 (97.3%) had viral pneumonia, 91 (60.7%) required supplemental oxygen, and 16 (10.7%) required intensive care unit (ICU) admission. COVID-19-related return visits to the emergency department were significantly higher in the control group (7.9% vs. 0%; p = 0.028) in the per-protocol analysis. Telephone consultations with the emergency department were performed by 12 (15.8%) patients in the control group and 0 (0%) in the experimental group (p < 0.001). Satisfaction with outpatient monitoring was rated higher by the experimental group (5 vs. 4 points; p < 0.001). CONCLUSIONS: Following COVID-19 hospital discharge, home follow-up via a mobile app was effective in reducing in-person return visits without undermining patient satisfaction or perception of health, compared with standard follow-up.

Farmalarm.

Background and Purpose- Risk factor control and treatment compliance in the following months after stroke are poor. We aim to validate a digital platform for smartphones to raise awareness among patients about the need to adopt healthy lifestyle, improve communication with medical staff, and treatment compliance. Methods- Farmalarm is an application (app) for smartphones designed to increase stroke awareness by medication alerts and compliance control, chat communication with medical staff, didactic video files, exercise monitoring. Patients with stroke discharged home were screened for participation and divided into groups: to follow the FARMALARM program for 3 to 4 weeks or standard of care follow-up. We determined achievement of risk factor control goals at 90 days. Results- From August 2015 to December 2016, from the 457 patients discharged home, 159 (34.8%) were included: Farmalarm (n=107); age 57±12, Control (n=52), age 59±10; without significant differences in baseline characteristics between groups. At 90 days, knowledge of vascular risk factors was higher in FARMALARM group (86.0% versus 69.2%, P<0.01). The rate of patients with diabetes mellitus (83.2% versus 63.5%, P<0.01) and hypercholesterolemia (80.3% versus 63.5%, P=0.03) under control and the rate of patients with 4 out of 4 risk factors under control was higher in FARMALARM group (50.4% versus 30.7%, P=0.02). A regression model showed that the use of Farmalarm was independently associated with all risk factors under control at 90 days (odds ratio, 2.3; 95% CI, 1.14-4.6; P=0.02). Conclusions- In patients with stroke discharged home, the use of mobile apps to monitor medication compliance and increase stroke awareness is feasible and seems to improve the control of vascular risk factors.