Predicting in-hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach.

Existing risk prediction models for hospitalized heart failure patients are limited. We identified patients hospitalized with a diagnosis of heart failure between 7 May 2013 and 26 April 2022 from a large academic, quaternary care medical centre (training cohort). Demographics, medical comorbidities, vitals, and labs were collected and were used to construct random forest machine learning models to predict in-hospital mortality. Models were compared with logistic regression, and to commonly used heart failure risk scores. The models were subsequently validated in patients hospitalized with a diagnosis of heart failure from a second academic, community medical centre (validation cohort). The entire cohort comprised 21 802 patients, of which 14 539 were in the training cohort and 7263 were in the validation cohort. The median age (25th-75th percentile) was 70 (58-82) for the entire cohort, 43.2% were female, and 6.7% experienced inpatient mortality. In the overall cohort, 7621 (35.0%) patients had heart failure with reduced ejection fraction (EF ≤ 40%), 1271 (5.8%) had heart failure with mildly reduced EF (EF 41-49%), and 12 910 (59.2%) had heart failure with preserved EF (EF ≥ 50%). Random forest models in the validation cohort demonstrated a c-statistic (95% confidence interval) of 0.96 (0.95-0.97), sensitivity (SN) of 87.3%, and specificity (SP) of 90.6% for the prediction of in-hospital mortality. Models for those with HFrEF demonstrated a c-statistic of 0.96 (0.94-0.98), SN 88.2%, and SP 91.0%, and those for patients with HFpEF showed a c-statistic of 0.95 (0.93-0.97), SN 87.4%, and SP 89.5% for predicting in-hospital mortality. The random forest model significantly outperformed logistic regression (c-statistic 0.87, SN 75.9%, and SP 86.9%), and current existing risk scores including the Acute Decompensated Heart Failure National Registry risk score (c-statistic of 0.70, SN 69%, and SP 62%), and the Get With the Guidelines-Heart Failure risk score (c-statistic 0.69, SN 67%, and SP 63%); P < 0.001 for comparison. Machine learning models built from commonly recorded patient information can accurately predict in-hospital mortality among patients hospitalized with a diagnosis of heart failure.

Percutaneous Coronary Intervention with Procedural Unfractionated Heparin without Activated Clotting Time Guidance: A Unique Opportunity to Assess Thrombotic and Bleeding Events.

Background: Rates of major bleeding and intraprocedural thrombotic events (IPTE) in the setting of percutaneous coronary intervention (PCI) using weight-adjusted unfractionated heparin (UFH) without activated clotting time (ACT) monitoring are not known. Methods: We reviewed 2,748 consecutive patients who underwent coronary angiography at our tertiary care university hospital between January 2017 and December 2020. All patients who underwent PCI with weight-adjusted UFH without ACT guidance were considered for further analysis. Major bleeding complications occurring within 48 hours of PCI were collected from patients' medical records. IPTE were collected independently by two interventional cardiologists after review of coronary angiograms. Results: There were 718 patients included in the analysis (65.4 ± 12.2 years old; 81.3% male). In total, 45 patients (7.8%) experienced a major bleed or IPTE. The most common IPTE were slow/no reflow (1.5%) and coronary artery dissection with decreased flow (1.1%). Other IPTE occurred in <1% of cases. Major bleeding occurred in 11 patients (1.5%), of whom 8 required blood transfusion and 3 required vascular intervention. Bleeding complications were more common with femoral compared with radial access (6.6% vs. 0.2%, P < 0.001). Conclusion: Weight-adjusted UFH use during PCI without ACT monitoring was related to low rates of major bleeding or IPTE.

Raman microspectroscopy identifies fibrotic tissues in collagen-related disorders via deconvoluted collagen type I spectra.

Fibrosis is a consequence of the pathological remodeling of extracellular matrix (ECM) structures in the connective tissue of an organ. It is often caused by chronic inflammation, which over time, progressively leads to an excess deposition of collagen type I (COL I) that replaces healthy tissue structures, in many cases leaving a stiff scar. Increasing fibrosis can lead to organ failure and death; therefore, developing methods that potentially allow real-time monitoring of early onset or progression of fibrosis are highly valuable. In this study, the ECM structures of diseased and healthy human tissue from multiple organs were investigated for the presence of fibrosis using routine histology and marker-independent Raman microspectroscopy and Raman imaging. Spectral deconvolution of COL I Raman spectra allowed the discrimination of fibrotic and non-fibrotic COL I fibers. Statistically significant differences were identified in the amide I region of the spectral subpeak at 1608 cm-1, which was deemed to be representative for structural changes in COL I fibers in all examined fibrotic tissues. Raman spectroscopy-based methods in combination with this newly discovered spectroscopic biomarker potentially offer a diagnostic approach to non-invasively track and monitor the progression of fibrosis. STATEMENT OF SIGNIFICANCE: Current diagnosis of fibrosis still relies on histopathological examination with invasive biopsy procedures. Although, several non-invasive imaging techniques such as positron emission tomography, single-photon emission computed tomography and second harmonic generation are gradually employed in preclinical or clinical studies, these techniques are limited in spatial resolution and the morphological interpretation highly relies on individual experience and knowledge. In this study, we propose a non-destructive technique, Raman microspectroscopy, to discriminate fibrotic changes of collagen type I based on a molecular biomarker. The changes of the secondary structure of collagen type I can be identified by spectral deconvolution, which potentially can provide an automatic diagnosis for fibrotic tissues in the clinical applicaion.

Characteristics and outcomes of patients presenting with acute myocardial infarction and cardiogenic shock during COVID-19.

OBJECTIVES: To evaluate characteristics and outcomes of patients presenting with acute myocardial infarction and cardiogenic shock (AMICS) during the coronavirus disease 2019 (COVID-19) pandemic. BACKGROUND: The COVID-19 pandemic has created challenges in delivering acute cardiovascular care. Quality measures and outcomes of patients presenting with AMICS during COVID-19 in the United States have not been well described. METHODS: We identified 406 patients from the National Cardiogenic Shock Initiative (NCSI) with AMICS and divided them into those presenting before (N = 346, 5/9/2016-2/29/2020) and those presenting during the COVID-19 pandemic (N = 60, 3/1/2020-11/10/2020). We compared baseline clinical data, admission characteristics, and outcomes. RESULTS: The median age of the cohort was 64 years, and 23.7% of the group was female. There were no significant differences in age, sex, and medical comorbidities between the two groups. Patients presenting during the pandemic were less likely to be Black compared to those presenting prior. Median door to balloon (90 vs. 88 min, p = 0.38), door to support (88 vs. 78 min, p = 0.13), and the onset of shock to support (74 vs. 62 min, p = 0.15) times were not significantly different between the two groups. Patients presented with ST-elevation myocardial infarction more often during the COVID-19 period (95.0% vs. 80.0%, p = 0.005). In adjusted logistic regression models, COVID-19 period did not significantly associate with survival to discharge (odds ratio [OR] 1.09, 95% confidence interval [CI] 0.54-2.19, p = 0.81) or with 1-month survival (OR 0.82, 95% CI 0.42-1.61, p = 0.56). CONCLUSIONS: Care of patients presenting with AMICS has remained robust among hospitals participating in the NCSI during the COVID-19 pandemic.

Evaluating factors of greater patient satisfaction with outpatient cardiology telehealth visits during the COVID-19 pandemic.

BACKGROUND: The impact of telehealth on cardiovascular care during the COVID-19 pandemic on patient satisfaction and factors associated with satisfaction are not well characterized. METHODS: We conducted a nonrandomized, prospective cross-sectional survey study for outpatient telehealth cardiovascular visits over a 169-day period utilizing a validated telehealth usability questionnaire. For each variable, patients were divided into 2 groups-1 with scores above the median, labeled "greater satisfaction," and the other with scores below the median, labeled "less satisfaction." RESULTS: A total of 13,913 outpatient telehealth encounters were successfully completed during the study period. A total of 7327 unique patients were identified and received a survey invitation; 5993 (81.8%) patients opened the invitation, and 1034 (14.1%) patients consented and completed the survey. Overall mean and median scores were 3.15 (standard deviation 0.74) and 3.37 (interquartile range 2.73-3.68) (maximum score 4.00). Greater satisfaction was noted among younger patients (mean age 63.3 ± 14.0 years, P = .005), female gender (46.3%, P = .007), non-White ethnicity (24.2% P = .006), self-identified early adopters and innovators of new technology (49.8%, P < .001), 1-way travel time greater than 1 hour (22.3%, P < .001), 1-way travel distance greater than 10 miles (49.0%, P < .001), patients needing child care arrangement (16.4%, P < .001), and history of orthotopic heart transplant (OHT) (5.1%, P = .04). CONCLUSION: Patients reported overall satisfaction with telehealth during the COVID-19 pandemic. Factors associated with patient convenience, along with female gender, younger age, and non-White ethnicity, correlated with greater satisfaction. Cardiovascular comorbidities did not correlate with greater satisfaction except for OHT. Further research into the impact of telehealth on patient satisfaction, safety, and clinical outcomes is needed.

Epidemiology and clinical characteristics of viral infections in hospitalized children and adolescents with cancer in Lebanon.

BACKGROUND: Viral infections in children and adolescents with malignancy are commonly encountered and have a significant impact on morbidity and mortality. Studies and epidemiological data regarding viral infections in children with cancer in developing countries are lacking. This retrospective cohort study aims to assess the burden of viral infections in children and adolescents with cancer, by assessing prevalence, risk factors, as well as morbidity and mortality of common viruses over a period of 8 years. METHODS AND FINDINGS: Medical records of cancer patients treated at the Children Cancer Center of Lebanon were reviewed and 155 participants under the age of 21 were identified with at least one documented viral infection during the period from July 2009 to November 2017. This subset included 136 participants with active malignancy and 19 participants with a history of cancer who underwent hematopoietic stem cell transplantation [HSCT] and were in remission; the latter group was analyzed separately. Information regarding participant characteristics, hospital course, and complications were obtained. Associations between viral infections and certain factors were assessed. In the cohort, 64% were male, 81% were Lebanese. In participants with active malignancy, 90% received chemotherapy in the 6 months preceding the viral infection episode, 11% received radiotherapy. 51% of participants were neutropenic at the time of viral detection, and 77% were lymphopenic. 17% experienced a bacterial co-infection, and 3 experienced a viral co-infection. Among 162 viral infection episodes, clinically diagnosed skin infections, mainly herpes simplex virus type 1 and varicella-zoster virus, were the most common [44% of cases]. These were followed by laboratory-proven systemic herpes infections: cytomegalovirus [14%] and Epstein-Barr virus [6%]. Respiratory viruses: influenza and respiratory syncytial virus, accounted for 9% and 4%, respectively, whereas rotavirus represented 11% and BK virus represented 3% of cases. Acute lymphocytic leukemia was the most prevalent neoplasia [57%]. Fever was the most common presenting symptom [55%] and febrile neutropenia was the reason for admission in 24% of cases. The mean length of stay was significantly longer in participants with cytomegalovirus infections and significantly lower in rotavirus infection. Admission to the ICU occurred in 9%, complications in 8%, and mortality in 5%. Participants with viral infections post-HSCT were noted to have a significantly longer length of hospital stay compared to non-HSCT participants, with no other significant differences in clinical course and outcome. The study was limited by its retrospective nature and by the late introduction and underuse of multiplex PCR panels, which may have led to underdiagnosis of viral infections. CONCLUSIONS: Viral infections were prevalent in our sample of cancer patients and may have contributed to morbidity and mortality. Newly available viral diagnostics are likely to vastly increase the number and scope of detectable viral infections in this population. Prospective studies using multiplex PCR technology with systematic testing of patients will be more helpful in defining the burden of viral infections. Furthermore, efforts at antimicrobial stewardship would benefit from the identification of viral causes of infection and limit the unnecessary use of antibiotics in the pediatric cancer population.

Pharmacists' views and reported practices in relation to a new generic drug substitution policy in Lebanon: a mixed methods study.

BACKGROUND: Governments in both developed and developing countries have adopted generic drug substitution policies to decrease pharmaceutical expenditures and improve access to medicine. In August 2015, the Ministry of Public Health (MOPH) in Lebanon introduced generic drug substitution and a unified medical prescription form as policy instruments to promote generic drug use. The objective of this exploratory study was to examine the attitudes of community pharmacists and the reported practices in relation to the implementation of the new generic drug substitution policy. METHODS: We used a cross-sectional mixed methods approach composed of self-administered questionnaires and semi-structured interviews. The study population consisted of community pharmacists in Lebanon. We randomly approached one pharmacy personnel from each selected community pharmacy. We conducted descriptive analyses to assess responses to questionnaire and regression analyses to understand associations between responses and respondent demographics. We analyzed qualitative data thematically. RESULTS: Out of 204 invited community pharmacies, 153 pharmacies participated (75% response rate). The majority of respondents (64%) were in favor of generic drug substitution; however, less than half (40%) indicated they have substituted brand drugs for generic equivalents. Moreover, 57% indicated that the existing pricing system discourages them from performing generic drug substitution. Most respondents indicated that physicians are overusing the "non-substitutable" option (84%) and that there are technical problems with processing the new prescription form (78%). Less than half (47%) reported that the MOPH is performing regular audits on the forms collected by the pharmacy. While 45% of the respondents indicated that consumers have accepted most of the generic substitutions, 21% perceived the increase in generic drug dispensing to be significant. Findings suggested a potentially significant association between being informed about generic drugs and respondents' support of the policy. Suggested strategies to address implementation challenges included strengthening stewardship function of MOPH, securing full commitment of health care providers, conducting educational and awareness campaigns about generic drugs and generic drug substitution, and aligning incentive systems of the key stakeholders. CONCLUSIONS: The majority of community pharmacists were supportive of generic drug substitution in general but not of the current implementation of the policy in Lebanon. Findings revealed implementation challenges at the provider, patient, and system level which are hindering attainment of the policy objectives. The key lessons derived from this study can be used for continuous improvement of the policy and its implementation.