Interpretation of Heart and Lungs Sounds Acquired via Remote, Digital Auscultation Reached Fair-to-Substantial Levels of Consensus among Specialist Physicians.

BACKGROUND: Technological advancement may bridge gaps between long-practiced medical competencies and modern technologies. Such a domain is the application of digital stethoscopes used for physical examination in telemedicine. This study aimed to validate the level of consensus among physicians regarding the interpretation of remote, digital auscultation of heart and lung sounds. METHODS: Seven specialist physicians considered both the technical quality and clinical interpretation of auscultation findings of pre-recorded heart and lung sounds of patients hospitalized in their homes. TytoCareTM system was used as a remote, digital stethoscope. RESULTS: In total, 140 sounds (70 heart and 70 lungs) were presented to seven specialists. The level of agreement was measured using Fleiss' Kappa (FK) variable. Agreement relating to heart sounds reached low-to-moderate consensus: the overall technical quality (FK = 0.199), rhythm regularity (FK = 0.328), presence of murmurs (FK = 0.469), appreciation of sounds as remote (FK = 0.011), and an overall diagnosis as normal or pathologic (FK = 0.304). The interpretation of some of the lung sounds reached a higher consensus: the overall technical quality (FK = 0.169), crepitus (FK = 0.514), wheezing (FK = 0.704), bronchial sounds (FK = 0.034), and an overall diagnosis as normal or pathological (FK = 0.386). Most Fleiss' Kappa values were in the range of "fare consensus", while in the domains of diagnosing lung crepitus and wheezing, the values increased to the "substantial" level. CONCLUSIONS: Bio signals, as recorded auscultations of the heart and lung sounds serving the process of clinical assessment of remotely situated patients, do not achieve a high enough level of agreement between specialized physicians. These findings should serve as a catalyzer for improving the process of telemedicine-attained bio-signals and their clinical interpretation.

Clinical Outcomes of Hospitalized Patients with SARS-CoV-2 Omicron Variant vs. Influenza A During Influenza Season 2021 to 2022: A Retrospective Observational Study.

BACKGROUND: Influenza and coronavirus disease 2019 (COVID-19) are respiratory diseases with similar modes of transmission. In December 2021, influenza re-emerged after it had been undetected since March 2020 and the Omicron variant replaced the Delta variant. Data directly comparing the two diseases are scarce. OBJECTIVES: To compare the outcomes of patients with both the Omicron variant and influenza during 2021-2022. METHODS: We performed a retrospective study conducted in Beilinson hospital, Israel, from December 2021 to January 2022. We included all hospitalized patients with either laboratory-confirmed COVID-19 or influenza. The primary outcome was 30-day mortality. RESULTS: We identified 167 patients diagnosed with Omicron and 221 diagnosed with Influenza A. The median age was 71 years for Omicron and 65 years for influenza. Patients with Omicron had a significantly higher Charlson Comorbidity Index score (4 vs. 3, P < 0.001). Patients with Omicron developed more respiratory failure that needed mechanical ventilation (7% vs. 2%, P = 0.05) and vasopressors (14% vs. 2%, P < 0.001) than patients with influenza. In a multivariate model, 30-day mortality was lower in patients diagnosed with influenza than in patients diagnosed with Omicron (19/221 [9%] vs. 44/167 [26%], hazard ratio 0.45, 95% confidence interval 0.25-0.81). CONCLUSIONS: Patients diagnosed with Omicron had higher mortality than patients diagnosed with seasonal influenza. This finding could be due to differences in co-morbidities, the virus pathogenicity, and host responses to infection.

Observational cohort study of IP-10's potential as a biomarker to aid in inflammation regulation within a clinical decision support protocol for patients with severe COVID-19.

BACKGROUND: Treatment of severely ill COVID-19 patients requires simultaneous management of oxygenation and inflammation without compromising viral clearance. While multiple tools are available to aid oxygenation, data supporting immune biomarkers for monitoring the host-pathogen interaction across disease stages and for titrating immunomodulatory therapy is lacking. METHODS: In this single-center cohort study, we used an immunoassay platform that enables rapid and quantitative measurement of interferon γ-induced protein 10 (IP-10), a host protein involved in lung injury from virus-induced hyperinflammation. A dynamic clinical decision support protocol was followed to manage patients infected with severe acute respiratory syndrome coronavirus 2 and examine the potential utility of timely and serial measurements of IP-10 as tool in regulating inflammation. RESULTS: Overall, 502 IP-10 measurements were performed on 52 patients between 7 April and 10 May 2020, with 12 patients admitted to the intensive care unit. IP-10 levels correlated with COVID-19 severity scores and admission to the intensive care unit. Among patients in the intensive care unit, the number of days with IP-10 levels exceeding 1,000 pg/mL was associated with mortality. Administration of corticosteroid immunomodulatory therapy decreased IP-10 levels significantly. Only two patients presented with subsequent IP-10 flare-ups exceeding 1,000 pg/mL and died of COVID-19-related complications. CONCLUSIONS: Serial and readily available IP-10 measurements potentially represent an actionable aid in managing inflammation in COVID-19 patients and therapeutic decision-making. TRIAL REGISTRATION: Clinicaltrials.gov, NCT04389645, retrospectively registered on May 15, 2020.

Development and validation of a knowledge-driven risk calculator for critical illness in COVID-19 patients.

Facing the novel coronavirus disease (COVID-19) pandemic, evidence to inform decision-making at all care levels is essential. Based on the results of a study by Petrilli et al., we have developed a calculator using patient data at admission to predict critical illness (intensive care, mechanical ventilation, hospice care, or death). We report a retrospective validation of the calculator on 145 consecutive patients admitted with COVID-19 to a single hospital in Israel. Despite considerable differences between the original and validation study populations, of 18 patients with critical illness, 17 were correctly identified (sensitivity: 94.4%, 95% CI, 72.7%-99.9%; specificity: 81.9%, 95% CI, 74.1%-88.2%). Of 127 patients with non-critical illness, 104 were correctly identified. Our results indicate that published knowledge can be reliably applied to assess patient risk, potentially reducing the cognitive burden on physicians, and helping policymakers better prepare for future needs.

The Utility of Failure Modes and Effects Analysis of Consultations in a Tertiary, Academic, Medical Center.

BACKGROUND: Failure modes and effects analysis (FMEA) is a tool used to identify potential risks in health care processes. We used the FMEA tool for improving the process of consultation in an academic medical center. METHODS: A team of 10 staff members-5 physicians, 2 quality experts, 2 organizational consultants, and 1 nurse-was established. The consultation process steps, from ordering to delivering, were computed. Failure modes were assessed for likelihood of occurrence, detection, and severity. A risk priority number (RPN) was calculated. An interventional plan was designed according to the highest RPNs. Thereafter, we compared the percentage of completed computer-based documented consultations before and after the intervention. RESULTS: The team identified 3 main categories of failure modes that reached the highest RPNs: initiation of consultation by a junior staff physician without senior approval, failure to document the consultation in the computerized patient registry, and asking for consultation on the telephone. An interventional plan was designed, including meetings to update knowledge of the consultation request process, stressing the importance of approval by a senior physician, training sessions for closing requests in the patient file, and reporting of telephone requests. The number of electronically documented consultation results and recommendations significantly increased (75%) after intervention. CONCLUSION: FMEA is an important and efficient tool for improving the consultation process in an academic medical center.

[EARLY IN-HOSPITAL MORTALITY IN INTERNAL MEDICINE WARDS (WITHIN 24 HOURS): A POTENTIAL QUALITY INDICATOR OR A VARIABLE AFFECTED BY MULTIPLE FACTORS?]

AIMS: To evaluate in-hospital mortality rate within 24 hours in internal medicine wards and to evaluate if it may be used as quality indicator. BACKGROUND: In-hospital mortality rate is an outcome measure which apparently reflects quality of care. There are debates on whether it may be considered a quality indicator since it is difficult to compare different case-mixes between hospitals. Research on mortality within 24 hours had not been published. METHODS: An historical prospective study was conducted including the entire internal wards admissions to the Rabin Medical Center between 1/7/14 and 30/6/15. We evaluated inhospital deaths and 7 days post discharge deaths. We focused on deaths within 24 hours, patients' characteristics, the primary diagnosis (which we assumed is the cause of death) and co-morbidity. The analysis includes descriptive statistics and mortality rates performed with SPSS version 22. RESULTS: Overall, 25,414 patients were admitted to internal wards during the study period. There were 1,620 in-hospitals deaths (6.37%) among which 164 deaths occurred within 24 hours (0.65%), which is 10.1% of in-hospital deaths. These patients were very old (median 82), many were residents of nursing homes and nearly all were brought to the hospital by ambulance. The most frequent primary diagnoses were sepsis (24%), pneumonia (22%), metastatic cancer (10%) and acute neurologic event (5%). CONCLUSIONS: The results exclude excessive inhospital mortality within 24 hours. The patients' characteristics enable researchers to assume that these deaths were expected and not preventable. DISCUSSION: There is no excessive mortality within 24 hours, the deaths were expected and a seasonal modifying effect was evident. All this and the different case mix in between hospitals suggest that early in-hospital mortality seems inadequate as a quality measure.

Telomere dynamics in arteries and mononuclear cells of diabetic patients: effect of diabetes and of glycemic control.

Telomeres serve as a mitotic clock and biological marker of senescence. Diabetes mellitus (DM) is associated with damage to target organs and premature aging. We assessed the effect of glycemic control on telomere dynamics in arterial cells of 58 patients undergoing coronary artery bypass and in mononuclear blood cells of other diabetic (32 type I and 47 type II) patients comparing well controlled to uncontrolled patients. All were compared to age-dependent curve of healthy controls. Telomeres were significantly shorter in the arteries of diabetic versus non-diabetic patients (p=0.049) and in mononuclear cells of both type I and type II diabetes. In all study groups good glycemic control attenuated shortening of the telomeres. In arterial cells good glycemic control attenuated, but not abolished, the telomere shortening. In type II DM the mononuclear telomere attrition was completely prevented by adequate glycemic control. Telomere shortening in mononuclear cells of type I diabetic patients was attenuated but not prevented by good glycemic control. Results of this study suggest that diabetes is associated with premature cellular senescence which can be prevented by good glycemic control in type II DM and reduced in type I DM.