A Pilot Study Using Machine Learning Algorithms and Wearable Technology for the Early Detection of Postoperative Complications After Cardiothoracic Surgery.

OBJECTIVE: To evaluate whether a machine learning algorithm (i.e. the "NightSignal" algorithm) can be used for the detection of postoperative complications prior to symptom onset after cardiothoracic surgery. SUMMARY BACKGROUND DATA: Methods that enable the early detection of postoperative complications after cardiothoracic surgery are needed. METHODS: This was a prospective observational cohort study conducted from July 2021 to February 2023 at a single academic tertiary care hospital. Patients aged 18 years or older scheduled to undergo cardiothoracic surgery were recruited. Study participants wore a Fitbit watch continuously for at least 1 week preoperatively and up to 90-days postoperatively. The ability of the NightSignal algorithm-which was previously developed for the early detection of Covid-19-to detect postoperative complications was evaluated. The primary outcomes were algorithm sensitivity and specificity for postoperative event detection. RESULTS: A total of 56 patients undergoing cardiothoracic surgery met inclusion criteria, of which 24 (42.9%) underwent thoracic operations and 32 (57.1%) underwent cardiac operations. The median age was 62 (IQR: 51-68) years and 30 (53.6%) patients were female. The NightSignal algorithm detected 17 of the 21 postoperative events a median of 2 (IQR: 1-3) days prior to symptom onset, representing a sensitivity of 81%. The specificity, negative predictive value, and positive predictive value of the algorithm for the detection of postoperative events were 75%, 97%, and 28%, respectively. CONCLUSIONS: Machine learning analysis of biometric data collected from wearable devices has the potential to detect postoperative complications-prior to symptom onset-after cardiothoracic surgery.

Symptom burden in patients with cancer who are experiencing unplanned hospitalization.

BACKGROUND: Inpatient supportive care programs often target patients with advanced solid tumors. To the authors' knowledge, few studies to date have characterized symptom burden in hospitalized patients with potentially curable cancers. The objective of the current study was to compare symptom burden, palliative care consultation, and readmission rates in hospitalized patients by cancer type and treatment intent. METHODS: The authors conducted a single-center study of hospitalized patients with cancer between 2014 and 2017. They assessed physical symptoms using the Edmonton Symptom Assessment System and psychological distress using the Patient Health Questionnaire-4 and the Primary Care PTSD (Posttraumatic Stress Disorder) Screen. Multivariate linear regression models were used to assess symptom burden, logistic regression was used to assess palliative care use, and competing risk regression was used to compare 90-day readmission risk. RESULTS: A total of 1549 patients were enrolled and surveyed. The majority of patients reported moderate to severe fatigue, poor well-being, and drowsiness with no significant differences noted by cancer type and treatment intent. Compared with other groups, patients with incurable solid cancer reported higher physical symptoms (beta coefficient [B], 4.73; P < .01) and symptoms of depression (B, 0.44; P < .01) and anxiety (B, 0.39; P < .01), but no difference in posttraumatic stress disorder. Among patients in the top quartile symptom burden according to the Edmonton Symptom Assessment System, the palliative care service was consulted in 14.7%, 7.9%, 25.0%, and 49.6%, respectively, of patients with potentially curable hematologic, potentially curable solid, incurable hematologic, and incurable solid cancers (P < .001). Compared with patients with potentially curable solid cancer, patients in each group experienced a higher risk of readmission within 90 days. CONCLUSIONS: Hospitalized patients with cancer experience substantial physical and psychological symptoms. Palliative care rarely is consulted for highly symptomatic patients with potentially curable cancers. Supportive care interventions should target the needs of symptomatic patients regardless of treatment intent.

A systematic review of religious beliefs about major end-of-life issues in the five major world religions.

OBJECTIVE: The objective of this study was to examine the religious/spiritual beliefs of followers of the five major world religions about frequently encountered medical situations at the end of life (EoL). METHOD: This was a systematic review of observational studies on the religious aspects of commonly encountered EoL situations. The databases used for retrieving studies were: Ovid MEDLINE In-Process & Other Non-Indexed Citations, Ovid MEDLINE, Ovid EMBASE, Ovid PsycINFO, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus. Observational studies, including surveys from healthcare providers or the general population, and case studies were included for review. Articles written from a purely theoretical or philosophical perspective were excluded. RESULTS: Our search strategy generated 968 references, 40 of which were included for review, while 5 studies were added from reference lists. Whenever possible, we organized the results into five categories that would be clinically meaningful for palliative care practices at the EoL: advanced directives, euthanasia and physician-assisted suicide, physical requirements (artificial nutrition, hydration, and pain management), autopsy practices, and other EoL religious considerations. A wide degree of heterogeneity was observed within religions, depending on the country of origin, level of education, and degree of intrinsic religiosity. SIGNIFICANCE OF RESULTS: Our review describes the religious practices pertaining to major EoL issues and explains the variations in EoL decision making by clinicians and patients based on their religious teachings and beliefs. Prospective studies with validated tools for religiosity should be performed in the future to assess the impact of religion on EoL care.

Quality of life and mood predict posttraumatic stress disorder after hematopoietic stem cell transplantation.

BACKGROUND: During hospitalization for hematopoietic stem cell transplantation (HCT), patients experience a steep deterioration in quality of life (QOL) and mood. To our knowledge, the impact of this deterioration on patients' QOL and posttraumatic stress disorder (PTSD) symptoms after HCT is unknown. METHODS: We conducted a prospective longitudinal study of patients hospitalized for HCT. They assessed QOL using the Functional Assessment of Cancer Therapy-Bone Marrow Transplantation (FACT-BMT) and depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9) at the time of admission for HCT, during hospitalization, and 6 months after HCT. We also used the Hospital Anxiety and Depression Scale (HADS) to measure patients' anxiety and depression symptoms at baseline and during HCT hospitalization. The PTSD Checklist was used to assess for PTSD symptoms. Multivariable linear regression models were used to identify predictors of QOL and PTSD symptoms at 6 months. RESULTS: We enrolled 90 of 93 consecutively eligible patients (97%) undergoing autologous and allogeneic HCT. Data at 6 months were available for 67 participants. At 6 months, 28.4% of participants met the criteria for PTSD and 43.3% had clinically significant depression. On multivariable regression analyses adjusting for significant covariates, changes in QOL and depression scores from week 2 of HCT hospitalization to baseline predicted worse QOL (changes in scores between week 2 and baseline [Δ] QOL: ß, 0.94 [P<.0001] and Δ PHQ-9: ß, -2.59 [P = 0.001]) and PTSD symptoms (Δ QOL: ß, -0.40 [P<.0001] and Δ PHQ-9: ß, 1.26 [P<.0001]) at 6 months after HCT. CONCLUSIONS: Six months after HCT, a significant percentage of patients met the criteria for PTSD and depression. A decline in QOL and an increase in depressive symptoms during hospitalization for HCT were found to be the most important predictors of 6-month QOL impairment and PTSD symptoms. Therefore, managing symptoms of depression and QOL deterioration during HCT hospitalization may be critical to improving QOL at 6 months and reducing the risk of PTSD. Cancer 2016;122:806-812. © 2015 American Cancer Society.

Health care utilization and end-of-life care for older patients with acute myeloid leukemia.

BACKGROUND: Health care utilization in older adults (age ≥60 years) with acute myeloid leukemia (AML) has not been well studied. METHODS: We conducted a retrospective analysis of 330 consecutive older patients who were diagnosed with AML between May 1, 2005 and December 23, 2011, at 2 hospitals in Boston to examine their health care utilization and end-of-life care. Using multivariable logistic and linear regression models adjusting for covariates, we also compared health care utilization between patients who received intensive induction chemotherapy (n = 197; cytarabine/ anthracycline combination) versus nonintensive chemotherapy (n = 133; single-agent therapy). RESULTS: The median number of hospitalizations for the entire cohort was 4.2 (range, 1-18 hospitalizations). Patients who died spent a mean of 28.3% of their life after diagnosis in the hospital and 13.8% of their life attending outpatient clinic appointments. Although the majority of patients (87.9%) died during the 2-year follow-up period, a minority received palliative care (16.2%) or hospice (23.1%) services. Within 30 days of death, 84.5% of patients were hospitalized, and 61% died in the hospital. Among the patients who died, those who received intensive induction therapy (vs nonintensive therapy) spent 30% more of their life after diagnosis in the hospital (P < .0001) and were less likely to receive hospice services (odds ratio, 0.45; P = .05). CONCLUSIONS: The current findings highlight the intensity of health care utilization among older patients with AML, regardless of treatment modality. Despite the poor prognosis, palliative care and hospice services are rarely used. Future work should study novel health care delivery models to optimize care throughout the course of illness and at the end of life.

Quality of life and mood of patients and family caregivers during hospitalization for hematopoietic stem cell transplantation.

BACKGROUND: We conducted a study to investigate the impact of hospitalization for hematopoietic stem cell transplantation (HCT) on the quality of life (QOL) and mood of patients and family caregivers (FC). METHODS: We conducted a longitudinal study of patients who were hospitalized for HCT and their FC. We assessed QOL (using the Functional Assessment of Cancer Therapy-Bone Marrow Transplantation) and mood (using the Hospital Anxiety and Depression Scale) at baseline (6 days before HCT), day +1, and day +8 of HCT. We administered the Medical Outcomes Study Health Survey Short Form-36 to examine FC QOL (Physical Component Scale and Mental Component Scale). To identify predictors of changes in QOL, we used multivariable linear mixed models. RESULTS: We enrolled 97% of eligible patients undergoing autologous (30 patients), myeloablative (30 patients), or reduced intensity (30 patients) allogeneic HCT. Patients' QOL markedly declined (mean Functional Assessment of Cancer Therapy-Bone Marrow Transplantation score, 109.6 to 96.0; P<.0001) throughout hospitalization. The percentage of patients with depression (Hospital Anxiety and Depression Scale-Depression score of >7) more than doubled from baseline to day +8 (15.6% to 37.8%; P<.0001), whereas the percentage of patients with anxiety remained stable (22.2%; P = .8). These results remained consistent when data were stratified by HCT type. Baseline depression (ß, -2.24; F, 42.2 [P<.0001]) and anxiety (ß, -0.63; F, 4.4 [P =.03]) were found to independently predict worse QOL throughout hospitalization. FC QOL declined during the patient's hospitalization (physical component scale: 83.1 to 79.6 [P =.03] and mental component scale: 71.6 to 67.4 [P =.04]). CONCLUSIONS: Patients undergoing HCT reported a steep deterioration in QOL and substantially worsening depression during hospitalization. Baseline anxiety and depression predicted worse QOL during hospitalization, underscoring the importance of assessing pre-HCT psychiatric morbidity.

Clinical Outcomes and Toxicity in Older Adults Receiving Chimeric Antigen Receptor T Cell Therapy.

Chimeric antigen receptor T cell therapy (CAR-T) has transformed the treatment landscape for adults with relapsed/refractory hematologic malignancies, but few studies have examined outcomes in older adults. We aimed to evaluate clinical outcomes and treatment toxicity in older adults receiving CAR-T for hematologic malignancies and to describe outcomes and toxicities in older adults age 75+ years compared to those age 65 to 74 years. We conducted a retrospective analysis of 141 adult patients age 65+ years (46.1% age 75+ years) who received commercial CAR-T at Massachusetts General Hospital between December 2017 and June 2023. We abstracted clinical outcomes from a review of the electronic health record, including (1) toxicity (ie, cytokine release syndrome [CRS] and immune effector cell-associated neurotoxicity syndrome [ICANS]); (2) health care utilization; (3) overall survival (OS); and (4) event-free survival (EFS). We analyzed the association of age (65 to 74 years versus 75+ years) with toxicity and health care utilization using the Mann-Whitney U test for continuous variables and the Fisher exact test for categorical variables. We examined the association of age with OS and EFS using multivariable Cox regression, controlling for covariates. The median patient age was 77 years (range, 75 to 91 years) in the 75+ year group and 69 years (ranges, 65 to 74 years) in the 65 to 74 year group. There were no statistically significant differences between the 75+ year group and the 65 to 74 year group in the rates of CRS (75.4% versus 84.2%; P = .21), grade 3+ CRS (1.5% versus 6.6%; P = .24), ICANS (38.5% versus 48.7%; P = .24), grade 3+ ICANS (16.9% versus 21.1%; P = .49), or infections (23.1% versus 29.0%; P = .45). There were no significant between-group differences in hospital readmissions within 30 days of CAR-T (10.8% versus 21.1%; P = .11), intensive care unit admissions within 30 days of CAR-T (7.7% versus 9.2%; P = 1.000), or median hospital length of stay (13 days versus 14 days; P = .29) among age groups. In a multivariable Cox regression analysis controlling for CAR-T product, Eastern Cooperative Oncology Group Performance Status, lactate dehydrogenase level, bridging therapy use, and history of deep venous thromboembolism, age 75+ years was not associated with OS (hazard ratio [HR], .95; P = .86) or EFS (HR, 1.28; P = .30). We identified favorable OS and toxicity outcomes across age categories in older adults receiving CAR-T for B cell non-Hodgkin lymphoma or multiple myeloma, underscoring that age alone is not a contraindication for CAR-T.