The Impact of Outpatient versus Inpatient Administration of CAR-T Therapies on Clinical, Economic, and Humanistic Outcomes in Patients with Hematological Cancer: A Systematic Literature Review

Although chimeric antigen receptor (CAR)-T cell therapies are typically administered in the inpatient setting, outpatient administration is rapidly expanding. However, there is limited summarized evidence comparing outcomes between outpatient and inpatient administration. This systematic literature review aims to compare the safety, efficacy, quality of life (QoL), costs, and healthcare resource utilization (HCRU) outcomes in patients with hematological cancer who are administered CAR-T therapy in an outpatient versus an inpatient setting. Publications (2016 or later) that reported the outcomes of interest in patients treated with a CAR-T therapy in both outpatient and inpatient settings, or only the outpatient setting, were reviewed. In total, 38 publications based on 21 studies were included. Safety findings suggested the comparable frequency of adverse events in the two settings. Eleven studies that reported data in both settings showed comparable response rates (80-82% in outpatient and 72-80% in inpatient). Improvements in the QoL were observed in both settings while costs associated with CAR-T therapy were lower in the outpatient setting. Although unplanned hospitalizations were higher in the outpatient cohort, overall HCRU was lower. Outpatient administration of CAR-T therapy appears to have comparable outcomes in safety, efficacy, and QoL to inpatient administration while reducing the economic burden.

Heart Failure with Reduced Ejection Fraction: The Role of Cardiovascular and Lung Ultrasound beyond Ejection Fraction

Heart failure with reduced ejection fraction (HFrEF) is considered a major health care problem with frequent decompensations, high hospitalization and mortality rates. In severe heart failure (HF), the symptoms are refractory to medical treatment and require advanced therapeutic strategies. Early recognition of HF sub- and decompensation is the cornerstone of the timely treatment intensification and, therefore, improvement in the prognosis. Echocardiography is the gold standard for the assessment of systolic and diastolic functions. It allows one to obtain accurate and non-invasive measurements of the ventricular function in HF. In severely compromised HF patients, advanced cardiovascular ultrasound modalities may provide a better assessment of intracardiac hemodynamic changes and subclinical congestion. Particularly, cardiovascular and lung ultrasound allow us to make a more accurate diagnosis of subclinical congestion in HFrEF. The aim of this review was to summarize the advantages and limitations of the currently available ultrasound modalities in the ambulatory monitoring of patients with HFrEF.

Evaluation of a remote monitoring app in head and neck cancer follow-up care

BACKGROUND

A remote monitoring app was developed for head and neck cancer (HNC) follow-up during the SARS-CoV-2 pandemic. This mixed-methods study provides insight in the usability and patients' experiences with the app to develop recommendations for future use.

METHODS

Patients were invited to participate if they were treated for HNC, used the app at least once and were in clinical follow-up. A subset was selected for semi-structured interviews through purposive sampling considering gender and age. This study was conducted between September 2021-May 2022 at a Dutch university medical center.

RESULTS

135 of the 216 invited patients completed the questionnaire, resulting in a total mHealth usability score of 4.72 (± 1.13) out of 7. Thirteen semi-structured interviews revealed 12 barriers and 11 facilitators. Most of them occurred at the level of the app itself. For example, patients received no feedback when all their answers were normal. The app made patients feel more responsible over their follow-up, but could not fulfill the need for personal contact with the attending physician. Patients felt that the app could replace some of the outpatient follow-up visits.

CONCLUSIONS

Our app is user-friendly, makes patients feel more in control and remote monitoring can reduce the frequency of outpatient follow-up visits. The barriers that emerged must be resolved before the app can be used in regular HNC follow-up. Future studies should investigate the appropriate ratio of remote monitoring to outpatient follow-up visits and the cost-effectiveness of remote monitoring in oncology care on a larger scale.

Personalized monitoring of ambulatory function with a smartphone 2-minute walk test in multiple sclerosis

BACKGROUND

Remote smartphone-based 2-minute walking tests (s2MWTs) allow frequent and potentially sensitive measurements of ambulatory function.

OBJECTIVE

To investigate the s2MWT on assessment of, and responsiveness to change in ambulatory function in MS.

METHODS

One hundred two multiple sclerosis (MS) patients and 24 healthy controls (HCs) performed weekly s2MWTs on self-owned smartphones for 12 and 3 months, respectively. The timed 25-foot walk test (T25FW) and Expanded Disability Status Scale (EDSS) were assessed at 3-month intervals. Anchor-based (using T25FW and EDSS) and distribution-based (curve fitting) methods were used to assess responsiveness of the s2MWT. A local linear trend model was used to fit weekly s2MWT scores of individual patients.

RESULTS

A total of 4811 and 355 s2MWT scores were obtained in patients (n = 94) and HC (n = 22), respectively. s2MWT demonstrated large variability (65.6 m) compared to the average score (129.5 m), and was inadequately responsive to anchor-based change in clinical outcomes. Curve fitting separated the trend from noise in high temporal resolution individual-level data, and statistically reliable changes were detected in 45% of patients.

CONCLUSIONS

In group-level analyses, clinically relevant change was insufficiently detected due to large variability with sporadic measurements. Individual-level curve fitting reduced the variability in s2MWT, enabling the detection of statistically reliable change in ambulatory function.

Reduction of Hospitalization and Mortality by Echocardiography-Guided Treatment in Advanced Heart Failure

In advanced heart failure (AHF) clinical evaluation fails to detect subclinical HF deterioration in outpatient settings. The aim of the study was to determine whether the strategy of intensive outpatient echocardiographic monitoring, followed by treatment modification, reduces mortality and re-hospitalizations at 12 months. Methods: 214 patients with ejection fraction < 30% and >1 hospitalization during the last year underwent clinical evaluation and echocardiography at discharge and were divided into intensive (IMG; N = 143) or standard monitoring group (SMG; N = 71). In IMG, volemic status and left ventricular filling pressure were assessed 14, 30, 90, 180 and 365 days after discharge. HF treatment, particularly diuretic therapy, was temporarily intensified when HF deterioration signs and E/e’ > 15 were detected. In SMG, standard outpatient monitoring without obligatory echocardiography at outpatient visits was performed. Results: We observed lower hospitalization (absolute risk reduction [ARR]-0.343, CI-95%: 0.287−0.434, p < 0.05; number needed to treat [NNT]-2.91) and mortality (ARR-0.159, CI 95%: 0.127−0.224, p < 0.05; NNT-6.29) in IMG at 12 months. One-year survival was 88.8% in IMG and 71.8% in SMG (p < 0.05). Conclusion: In AHF, outpatient monitoring of volemic status and intracardiac filling pressures to individualize treatment may potentially reduce hospitalizations and mortality at 12 months follow-up. Echocardiography-guided outpatient therapy is feasible and clinically beneficial, providing evidence for the larger application of this approach.

Asthma Management Using the Mobile Asthma Evaluation and Management System in China

PURPOSE

As stated in the Global Initiative for Asthma, there are still some asthmatic patients who have not achieved asthma control. Mobile is a useful tool for asthma management. We aimed to compare the advantages of mobile management with traditional management in improving adherence and control of asthma.

METHODS

In this prospective, multicentre, randomized, controlled and parallel-group study, we enrolled patients with poor adherence and uncontrolled asthma at 32 hospitals in 28 provinces in China. Patients were randomly assigned to the mobile management or traditional management groups for 12 months. The primary endpoint was the proportion of patients with good adherence (Medication Adherence Report Scale for Asthma [MARS-A] score ≥ 45) for 6 months. This study is registered at ClinicalTrials.gov (NCT02917174).

RESULTS

Between April 2017 and April 2018, 923 patients were eligible for randomization (mobile group, n = 461; traditional group, n = 462). Dropout was 84 (18.2%) in the mobile management group and 113 (24.4%) patients in the traditional management group. The proportion of patients with good adherence was significantly higher in the mobile management group than in the traditional management group (66.0% vs. 58.99%, P = 0.048). The mobile management group showed higher mean MARS-A score (at 1, 6, 9, and 12 months) and asthma control test scores (at 6 and 9 months), and lower total lost rate to follow-up within 12 months than the traditional management group.

CONCLUSIONS

Mobile asthma management can improve adherence and asthma control compared to traditional management.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02917174.

Use of home pulse oximetry with daily short message service messages for monitoring outpatients with COVID-19: The patient's experience

Studies have shown COVID-19 patients may have a low oxygen saturation (SpO₂) independent of visible respiratory distress, a phenomenon termed “silent hypoxia.” Silent hypoxia creates uncertainty in the outpatient setting for clinicians and patients alike. In this study, we examined the potential for pulse oximeters in identifying early signs of clinical deterioration. We report descriptive results on COVID-positive patients’ experiences with a comprehensive home monitoring tool comprised of home SpO₂ measurements with a novel symptom-tracking short message service/text messaging application. Of patients who required hospitalization, 83% sought care as a result of low pulse oximeter readings. Nearly all patients who did not require hospitalization reported that having a pulse oximeter provided them with the confidence to stay at home. Essentially all patients found a home pulse oximeter useful. Keeping COVID-19-positive patients at home reduces the potential for disease spread and prevents unnecessary costs and strain on the healthcare system.

HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning

The collection of data from a personal digital device to characterize current health conditions and behaviors that determine how an individual's health will evolve has been called digital phenotyping. In this paper, we describe the development of and early experiences with a comprehensive digital phenotyping platform: Health Outcomes through Positive Engagement and Self-Empowerment (HOPES). HOPES is based on the open-source Beiwe platform but adds a wider range of data collection, including the integration of wearable devices and further sensor collection from smartphones. Requirements were partly derived from a concurrent clinical trial for schizophrenia that required the development of significant capabilities in HOPES for security, privacy, ease of use, and scalability, based on a careful combination of public cloud and on-premises operation. We describe new data pipelines to clean, process, present, and analyze data. This includes a set of dashboards customized to the needs of research study operations and clinical care. A test use case for HOPES was described by analyzing the digital behavior of 22 participants during the SARS-CoV-2 pandemic.

Front-Line innovation: Rapid implementation of a nurse-driven protocol for care of outpatients with COVID-19

Aims and objectives

Our objective was to rapidly adapt and scale a registered nurse‐driven Coordinated Transitional Care (C‐TraC) programme to provide intensive home monitoring and optimise care for outpatient Veterans with COVID‐19 in a large urban Unites States healthcare system.

Background

Our diffuse primary care network had no existing model of care by which to provide coordinated result tracking and monitoring of outpatients with COVID‐19.

Design

Quality improvement implementation project.

Methods

We used the Replicating Effective Programs model to guide implementation, iterative Plan‐Do‐Study‐Act cycles and SQUIRE reporting guidelines. Two transitional care registered nurses, and a geriatrician medical director developed a protocol that included detailed initial assessment, overnight delivery of monitoring equipment and phone‐based follow‐up tailored to risk level and symptom severity. We tripled programme capacity in time for the surge of cases by training Primary Care registered nurses.

Results

Between 23 March and 15 May 2020, 120 Veterans with COVID‐19 were enrolled for outpatient monitoring; over one‐third were aged 65 years or older, and 70% had medical conditions associated with poor COVID‐19 outcomes. All Veterans received an initial call within a few hours of the laboratory reporting positive results. The mean length of follow‐up was 8.1 days, with an average of 4.2 nurse and 1.3 physician or advanced practice clinician contacts per patient. The majority (85%) were managed entirely in the outpatient setting. After the surge, the model was disseminated to individual primary care teams through educational sessions.

Conclusion

A model based on experienced registered nurses can provide comprehensive, effective and sustainable outpatient monitoring to high‐risk populations with COVID‐19.

Unexpected high frequency of early mortality in COVID-19: a single-centre experience during the first wave of the pandemic

We report the high frequency of early mortality in COVID‐19 patients (48.6% of 72 deaths). Early deaths were not explained by differences in age, sex and comorbidities, but they had a more severe disease at hospital admission compared with late deaths. These data highlight the importance of outpatient monitoring for the early identification of COVID‐19 patients who require hospital admission.

Continuous LVAD monitoring reveals high suction rates in clinically stable outpatients

Suction of the left ventricle can lead to potentially life‐threatening events in left ventricular assist device (LVAD) patients. With the resolution of currently available clinical LVAD monitoring healthcare professionals are unable to evaluate patients’ suction occurrences in detail. This study investigates occurrences and durations of suction events and their associations with tachycardia in stable outpatients. Continuous high‐resolution LVAD data from HVAD patients were analyzed in the early outpatient period for 15 days. A validated suction detection from LVAD signals was used. Suction events were evaluated as suction rates, bursts of consecutive suction beats, and clusters of suction beats. The occurrence of tachycardia was analyzed before, during, and after suction clusters. Furthermore, blood work, implant strategy, LVAD speed setting, inflow cannula position, left ventricular diameters, and adverse events were evaluated in these patients. LVAD data of 10 patients was analyzed starting at 78 ± 22 postoperative days. Individuals’ highest suction rates per hour resulted in a median of 11% (range 3%‐61%). Bursts categorized as consecutive suction beats with n = 2, n = 3‐5, n = 6‐15, and n > 15 beats were homogenously distributed with 10.3 ± 0.8% among all suction beats. Larger suction bursts were followed by shorter suction‐free periods. Tachycardia during suction occurred in 12% of all suction clusters. Significant differences in clinical parameters between individuals with high and low suction rates were only observed in left ventricular end‐diastolic and end‐systolic diameters (P < .02). Continuous high‐resolution LVAD monitoring sheds light on outpatient suction occurrences. Interindividual and intraindividual characteristics of longitudinal suction rates were observed. Longer suction clusters have higher probabilities of tachycardia within the cluster and more severe types of suction waveforms. This work shows the necessity of improved LVAD monitoring and the implementation of an LVAD speed control to reduce suction rates and their concomitant burden on the cardiovascular system.

Bioimpedance-Based Heart Failure Deterioration Prediction Using a Prototype Fluid Accumulation Vest-Mobile Phone Dyad: An Observational Study

Background

Recurrent heart failure (HF) events are common in patients discharged after acute decompensated heart failure (ADHF). New patient-centered technologies are needed to aid in detecting HF decompensation. Transthoracic bioimpedance noninvasively measures pulmonary fluid retention.

Objective

The objectives of our study were to (1) determine whether transthoracic bioimpedance can be measured daily with a novel, noninvasive, wearable fluid accumulation vest (FAV) and transmitted using a mobile phone and (2) establish whether an automated algorithm analyzing daily thoracic bioimpedance values would predict recurrent HF events.

Methods

We prospectively enrolled patients admitted for ADHF. Participants were trained to use a FAV–mobile phone dyad and asked to transmit bioimpedance measurements for 45 consecutive days. We examined the performance of an algorithm analyzing changes in transthoracic bioimpedance as a predictor of HF events (HF readmission, diuretic uptitration) over a 75-day follow-up.

Results

We observed 64 HF events (18 HF readmissions and 46 diuretic uptitrations) in the 106 participants (67 years; 63.2%, 67/106, male; 48.1%, 51/106, with prior HF) who completed follow-up. History of HF was the only clinical or laboratory factor related to recurrent HF events (P=.04). Among study participants with sufficient FAV data (n=57), an algorithm analyzing thoracic bioimpedance showed 87% sensitivity (95% CI 82-92), 70% specificity (95% CI 68-72), and 72% accuracy (95% CI 70-74) for identifying recurrent HF events.

Conclusions

Patients discharged after ADHF can measure and transmit daily transthoracic bioimpedance using a FAV–mobile phone dyad. Algorithms analyzing thoracic bioimpedance may help identify patients at risk for recurrent HF events after hospital discharge.

Feasibility and acceptability of remotely monitored pedometer-guided physical activity

Nearly 70% of the Australian adult population are either sedentary, or have low levels of physical activity. There has been interest in addressing this problem by the 'mHealth', or mobile Health, arena, which is concerned with the confluence of mobile technology and health promotion. The newer generation of activity pedometers has the ability to automatically upload information, to enable aggregation and meta-data analysis of individual patient data. We conducted a ten-week pilot trial of the Fitbit Zip® pedometer using a validated tool in ten volunteers, finding it highly acceptable to both participants and investigators. Data synching was ranked as 'very easy' or 'easy' by all participants, and investigators could successfully monitor activity levels remotely. Median (interquartile range) daily step counts of participants over the ten-week trial ranged from 5471 (4591-7026) to 18779 (15031-21505) steps. Sedentary time over the study period ranged from 1.4% to 33.3% of study days. Percentage of days reaching the target activity level of >10,000 steps/day varied markedly between participants from 4.5% to 95.7%. This study demonstrates the feasibility and acceptability of a remotely monitored pedometer-guided physical activity intervention. This technology may be useful to encourage increased exercise as a form of 'prehabilitation' of adequately screened at-risk surgical or obstetric patients.

Integrating Mobile Fitness Trackers Into the Practice of Medicine

Mobile fitness trackers are increasingly used by patients as a means to become more involved in their own self-care; however, these devices measure disparate outcomes that may have equivocal relevance to true health status. It is vital for physicians to interpret both the quality and accuracy of the information that these trackers provide, and it is important to delineate which role, if any, these devices may serve in promoting quality patient care in the future. Potential benefits of mobile fitness trackers include the ability to motivate patients toward a healthier lifestyle, to develop a community of like-minded individuals seeking to improve their health, as well as to create an environment of sustainability and accountability for long-term promotion of health maintenance. However, limitations include the fact that mobile fitness trackers are not regulated by the Food and Drug Administration, that the employed metrics are not necessarily the best surrogates for true health status, and that the accuracy of measured endpoints has not yet been proven. As mobile fitness trackers both continue to rise in popularity and become increasingly sophisticated, physicians must be equipped to interpret and use this technology to better serve patients within an ever-changing, more technology-reliant health care system.

Surveillance of fetal arrhythmias in the outpatient setting: current limitations and call for action

Surveillance of fetal arrhythmias in the outpatient setting remains limited by lack of monitoring modalities. Despite technological advances made in the field of obstetrics, existing devices are not currently suitable to monitor fetal arrhythmias. In this report, the author describes the current and developing fetal heart rate monitoring technologies including the recent introduction of hand-held Doppler monitors for outpatient surveillance of fetal arrhythmias.