Artificial Intelligence-Based Left Ventricular Ejection Fraction by Medical Students for Mortality and Readmission Prediction.

INTRODUCTION: Point-of-care ultrasound has become a universal practice, employed by physicians across various disciplines, contributing to diagnostic processes and decision-making. AIM: To assess the association of reduced (<50%) left-ventricular ejection fraction (LVEF) based on prospective point-of-care ultrasound operated by medical students using an artificial intelligence (AI) tool and 1-year primary composite outcome, including mortality and readmission for cardiovascular-related causes. METHODS: Eight trained medical students used a hand-held ultrasound device (HUD) equipped with an AI-based tool for automatic evaluation of the LVEF of non-selected patients hospitalized in a cardiology department from March 2019 through March 2020. RESULTS: The study included 82 patients (72 males aged 58.5 ± 16.8 years), of whom 34 (41.5%) were diagnosed with AI-based reduced LVEF. The rates of the composite outcome were higher among patients with reduced systolic function compared to those with preserved LVEF (41.2% vs. 16.7%, p = 0.014). Adjusting for pertinent variables, reduced LVEF independently predicted the composite outcome (HR 2.717, 95% CI 1.083-6.817, p = 0.033). As compared to those with LVEF ≥ 50%, patients with reduced LVEF had a longer length of stay and higher rates of the secondary composite outcome, including in-hospital death, advanced ventilatory support, shock, and acute decompensated heart failure. CONCLUSION: AI-based assessment of reduced systolic function in the hands of medical students, independently predicted 1-year mortality and cardiovascular-related readmission and was associated with unfavorable in-hospital outcomes. AI utilization by novice users may be an important tool for risk stratification for hospitalized patients.

Enterococcal Infective Endocarditis - Post discharge treatment with continuous benzylpenicillin and ceftriaxone: A retrospective cohort study.

BACKGROUND: Enterococcal Infective Endocarditis (EIE) is usually treated with the combination of penicillin/ampicillin with gentamicin or ampicillin with ceftriaxone. To enable prolonged outpatient treatment, a combination of benzylpenicillin and ceftriaxone has been suggested. This study aimed to describe the incidence and characteristics of EIE and to determine the outcome of EIE cases treated with benzylpenicillin and ceftriaxone. METHODS: This was a retrospective single-center study including all patients diagnosed with infective endocarditis (IE) during 2016-2021, comparing EIE with IE caused by other pathogens. We described the outpatient treatment of patients with EIE, comparing those treated of benzylpenicillin - ceftriaxone with other regimes. RESULTS: Among 222 patients with IE, 44 (20%) were diagnosed with EIE. Those were older, had a male predominance (p = 0.035), and were more disabled (p = 0.004). The incidence of EIE reached 30% towards the last year, becoming the leading etiology. Twenty-six patients received outpatient treatment, five of whom were discharged with benzylpenicillin and ceftriaxone. Adding patients from this cohort to the scarce data available, revealed similar recurrence and mortality rates compared to other treatment regimes. CONCLUSIONS: EIE is becoming a more frequent cause of IE, involving older, more disabled patients with male predominance. Our experience and existing literature suggest that the combination of benzylpenicillin and ceftriaxone is as safe as more conventional regimes, although further research is needed.

Empowering Medical Students: Harnessing Artificial Intelligence for Precision Point-of-Care Echocardiography Assessment of Left Ventricular Ejection Fraction.

Introduction: Point-of-care ultrasound (POCUS) use is now universal among nonexperts. Artificial intelligence (AI) is currently employed by nonexperts in various imaging modalities to assist in diagnosis and decision making. Aim: To evaluate the diagnostic accuracy of POCUS, operated by medical students with the assistance of an AI-based tool for assessing the left ventricular ejection fraction (LVEF) of patients admitted to a cardiology department. Methods: Eight students underwent a 6-hour didactic and hands-on training session. Participants used a hand-held ultrasound device (HUD) equipped with an AI-based tool for the automatic evaluation of LVEF. The clips were assessed for LVEF by three methods: visually by the students, by students + the AI-based tool, and by the cardiologists. All LVEF measurements were compared to formal echocardiography completed within 24 hours and were evaluated for LVEF using the Simpson method and eyeballing assessment by expert echocardiographers. Results: The study included 88 patients (aged 58.3 ± 16.3 years). The AI-based tool measurement was unsuccessful in 6 cases. Comparing LVEF reported by students' visual evaluation and students + AI vs. cardiologists revealed a correlation of 0.51 and 0.83, respectively. Comparing these three evaluation methods with the echocardiographers revealed a moderate/substantial agreement for the students + AI and cardiologists but only a fair agreement for the students' visual evaluation. Conclusion: Medical students' utilization of an AI-based tool with a HUD for LVEF assessment achieved a level of accuracy similar to that of cardiologists. Furthermore, the use of AI by the students achieved moderate to substantial inter-rater reliability with expert echocardiographers' evaluation.

Artificial Intelligence-Powered Left Ventricular Ejection Fraction Analysis Using the LVivoEF Tool for COVID-19 Patients.

We sought to prospectively investigate the accuracy of an artificial intelligence (AI)-based tool for left ventricular ejection fraction (LVEF) assessment using a hand-held ultrasound device (HUD) in COVID-19 patients and to examine whether reduced LVEF predicts the composite endpoint of in-hospital death, advanced ventilatory support, shock, myocardial injury, and acute decompensated heart failure. COVID-19 patients were evaluated with a real-time LVEF assessment using an HUD equipped with an AI-based tool vs. assessment by a blinded fellowship-trained echocardiographer. Among 42 patients, those with LVEF < 50% were older with more comorbidities and unfavorable exam characteristics. An excellent correlation was demonstrated between the AI and the echocardiographer LVEF assessment (0.774, p < 0.001). Substantial agreement was demonstrated between the two assessments (kappa = 0.797, p < 0.001). The sensitivity, specificity, PPV, and NPV of the HUD for this threshold were 72.7% 100%, 100%, and 91.2%, respectively. AI-based LVEF < 50% was associated with worse composite endpoints; unadjusted OR = 11.11 (95% CI 2.25-54.94), p = 0.003; adjusted OR = 6.40 (95% CI 1.07-38.09, p = 0.041). An AI-based algorithm incorporated into an HUD can be utilized reliably as a decision support tool for automatic real-time LVEF assessment among COVID-19 patients and may identify patients at risk for unfavorable outcomes. Future larger cohorts should verify the association with outcomes.

Elevated cfDNA after exercise is derived primarily from mature polymorphonuclear neutrophils, with a minor contribution of cardiomyocytes.

Strenuous physical exercise causes a massive elevation in the concentration of circulating cell-free DNA (cfDNA), which correlates with effort intensity and duration. The cellular sources and physiological drivers of this phenomenon are unknown. Using methylation patterns of cfDNA and associated histones, we show that cfDNA in exercise originates mostly in extramedullary polymorphonuclear neutrophils. Strikingly, cardiomyocyte cfDNA concentration increases after a marathon, consistent with elevated troponin levels and indicating low-level, delayed cardiac cell death. Physical impact, low oxygen levels, and elevated core body temperature contribute to neutrophil cfDNA release, while muscle contraction, increased heart rate, ß-adrenergic signaling, or steroid treatment fail to cause elevation of cfDNA. Physical training reduces neutrophil cfDNA release after a standard exercise, revealing an inverse relationship between exercise-induced cfDNA release and training level. We speculate that the release of cfDNA from neutrophils in exercise relates to the activation of neutrophils in the context of exercise-induced muscle damage.

The Role of Hand-Held Cardiac Ultrasound in Patients with COVID-19.

The role of point-of-care ultrasound (POCUS) in patient management has been established in recent years as an important tool. It is increasingly used by multiple medical disciplines in numerous clinical settings, for different applications and diagnostic purposes and in the guidance of procedures. The introduction of small-sized and inexpensive hand-held ultrasound devices (HUDs) has addressed some of the POCUS-related challenges and has thus extended POCUS' applicability. HUD utilization is even more relevant in the COVID-19 setting given the operators' infection risk, excessive workload concerns and general equipment contamination. This review focuses on the available technology, usefulness, feasibility and clinical applications of HUD for echocardiogram assessment in patients with COVID-19.

The association between CPR quality of In-hospital resuscitation and sex: A hypothesis generating, prospective observational study.

Introduction: The relationship between sex and cardiopulmonary resuscitation (CPR) outcomes remains unclear. Particularly, questions remain regarding the potential contribution of unmeasured confounders. We aimed to examine the differences in the quality of chest compression delivered to men and women. Methods: Prospective study of observational data recorded during consecutive resuscitations occurring in a single tertiary center (Feb-1-2015 to Dec-31-2018) with real-time follow-up to hospital discharge. The studied variables included time in CPR, no-flow-time and fraction, compression rate and depth and release velocity. The primary study endpoint was the unadjusted association between patient sex and the chest compression quality (depth and rate). The secondary endpoint was the association between the various components of chest compression quality, sex, and survival to hospital discharge/neurologically intact survival. Results: Overall 260 in-hospital resuscitations (57.7% male patients) were included. Among these 100 (38.5%) achieved return of spontaneous circulation (ROSC) and 35 (13.5%) survived to hospital discharge. Female patients were significantly older. Ischemic heart disease and ventricular arrhythmias were more prevalent among males. Compression depth was greater in female vs male patients (54.9 ± 11.3 vs 51.7 ± 10.9 mm; p = 0.024). Other CPR quality-metrics were similar. The rates of ROSC, survival to hospital discharge and neurologically intact survival did not differ between males and females. Univariate analysis revealed no association between sex, quality metrics and outcomes. Discussion: Women received deeper chest compressions during in-hospital CPR. Our findings require corroboration in larger cohorts but nonetheless underscore the need to maintain high-quality CPR in all patients using real-time feedback devices. Future studies should also include data on ventilation rates and volumes which may contribute to survival outcomes.

The quality, safety, feasibility, and interpretive accuracy of echocardiographic and lung ultrasound assessment of COVID-19 patients using a hand-held ultrasound.

BACKGROUND: The association between COVID-19 infection and the cardiovascular system necessitates the use of an echocardiogram in this setting. Information on the utilization, safety, and quality of point-of-care cardiac and lung ultrasound using a hand-held device in these patients is scarce. AIMS: To investigate the safety, technical aspects, quality indices, and interpretive accuracy of a hand-held echocardiogram in patients with COVID-19. METHODS: From April-28 through July-27, 2020, consecutive patients with COVID-19 underwent hand-held echocardiogram and lung ultrasound evaluation (Vscan Extend™; GE Healthcare) within 48-h of admission. The operators recorded a series of technical parameters and graded individual experiences. The examinations were further analyzed by a blinded fellowship-trained echocardiographer for general quality, proper acquisition, and right ventricular (RV) demonstration. RESULTS: Among 103 patients, 66 (64.1%) were male. Twenty-nine (28.2%) patients could not turn on their left side and 23 (22.3%) could not maintain effective communication. The mean length of each echocardiogram study was 8.5 ± 2.9 min, battery usage was 14 ± 5%, and mean operator-to-patient proximity was 59 ± 11 cm. Ninety-five (92.2%) examinations were graded as fair/good quality. A fair agreement was demonstrated between the operator and the echocardiographer for general ultrasound quality (Kappa = 0.329, p < 0.001). A fair-good correlation (r = 0.679, p < 0.001) and substantial agreement (Kappa = 0.612, p < 0.001) were demonstrated between the operator and echocardiographer for left ventricular ejection fraction (LVEF), whereas a fair agreement was demonstrated for RV systolic function (Kappa = 0.308, p = 0.002). LVEF agreement was also assessed using the Bland-Altman analysis revealing a mean bias of -0.96 (95% limits of agreement 9.43 to -11.35; p = 0.075). CONCLUSIONS: Among patients with COVID-19, echocardiography with a hand-held ultrasound is a safe and reasonable alternative for a complete formal study (<10% poor-quality indices). Echocardiogram assessment by the operators during the exam acquisition is reliable for LVEF, while RV systolic function should be subsequently offline reassessed.

Use of artificial intelligence as a didactic tool to improve ejection fraction assessment in the emergency department: A randomized controlled pilot study.

Objectives: Incorporating artificial intelligence (AI) into echocardiography operated by clinicians working in the emergency department to accurately assess left-ventricular ejection fraction (LVEF) may lead to better diagnostic decisions. This randomized controlled pilot study aimed to evaluate AI use as a didactic tool to improve noncardiologist clinicians' assessment of LVEF from the apical 4-chamber (A4ch) view. Methods: This prospective randomized controlled pilot study tested the feasibility and acceptability of the incorporation of AI as a didactic tool by comparing the ability of 16 clinicians who work in the emergency department to assess LVEF before and after the introduction of an AI-based ultrasound application. Following a brief didactic course, participants were randomly equally divided into an intervention and a control group. In each of the first and second sessions, both groups were shown 10 echocardiography A4ch clips and asked to assess LVEF. Following each clip assessment, only the intervention group was shown the results of the AI-based tool. For the final session, both groups were presented with a new set of 40 clips and asked to evaluate the LVEF. Results: In the "normal-abnormal" category evaluation, as related to own baseline accuracy assessment, the intervention group had an improvement in accuracy on 50 consecutive clip assessments compared with a decline in the control group (0.10 vs. -0.12, respectively, p = 0.038). In the "significantly reduced LVEF" category, the intervention group showed significantly less decline in clip assessment as compared to the control group (-0.03 vs. -0.12, respectively, p = 0.050). Conclusions: A study involving AI incorporation as a didactic tool for clinicians working in the emergency department appears feasible and acceptable. The introduction of an AI-based tool to clinicians working in the emergency department improved the assessment accuracy of LVEF as compared to the control group.

Prevalence, Predictors, and Outcomes of Patients With ST-Elevation Myocardial Infarction and Angiographically Significant Coronary Artery Disease of Non-Infarct-Related Artery.

Patients with ST-elevation myocardial infarction (STEMI) can present with angiographically significant coronary artery disease (CAD) of non-infarct-related artery (IRA) or with IRA-only CAD. This study aimed to evaluate the prevalence, predictors, and outcome of patients with STEMI and angiographically significant CAD of non-IRA. All consecutive patients with STEMI who underwent primary percutaneous coronary intervention between 2000 and 2020 were included. Angiographically significant CAD was defined as >50% stenosis of the left main coronary artery and/or >90% stenosis for all other coronary arteries. A total of 2,663 patients had IRA-only CAD (80.2%) and 657 had angiographically significant non-IRA CAD (19.8%). Independent predictors for non-IRA CAD were male gender (odds ratio [OR] 1.34, 95% confidence interval [CI] 1.05 to 1.70, p = 0.021), age >50 years (OR 1.45, 95% CI 1.11 to 1.91, p = 0.007), and diabetes mellitus (OR 1.56, 95% CI 1.29 to 1.9, p <0.001), whereas smoking (OR 0.83, 95% CI 0.68 to 0.99, p = 0.004) and family history of CAD (OR 0.78, 95% CI 0.62 to 0.98, p = 0.032) were found to be negatively associated with non-IRA CAD. In-hospital 30-day and 1- and 5-year all-cause mortality were higher in patients with non-IRA CAD compared with IRA-only CAD (5.8% vs 2.5%, 8.5% vs 3.3%, 18.4% vs 7.6% and 36.3% vs 20.3%, respectively; p for all <0.001). In conclusion, 20% of patients with STEMI had angiographically significant non-IRA CAD. Older age, male gender, and diabetes mellitus were independent predictors for non-IRA CAD, whereas smoking and family history of CAD predicted IRA-only CAD. The presence of non-IRA CAD was associated with higher short- and long-term all-cause mortality rates.

The Utility of Handheld Cardiac and Lung Ultrasound in Predicting Outcomes of Hospitalised Patients With COVID-19.

BACKGROUND: Strict isolation precautions limit formal echocardiography use in the setting of COVID-19 infection. Information on the importance of handheld focused ultrasound for cardiac evaluation in these patients is scarce. This study investigated the utility of a handheld echocardiography device in hospitalised patients with COVID-19 in diagnosing cardiac pathologies and predicting the composite end point of in-hospital death, mechanical ventilation, shock, and acute decompensated heart failure. METHODS: From April 28 through July 27, 2020, consecutive patients diagnosed with COVID-19 underwent evaluation with the use of handheld ultrasound (Vscan Extend with Dual Probe; GE Healthcare) within 48 hours of admission. The patients were divided into 2 groups: "normal" and "abnormal" echocardiogram, as defined by biventricular systolic dysfunction/enlargement or moderate/severe valvular regurgitation/stenosis. RESULTS: Among 102 patients, 26 (25.5%) had abnormal echocardiograms. They were older with more comorbidities and more severe presenting symptoms compared with the group with normal echocardiograms. The prevalences of the composite outcome among low- and high-risk patients (oxygen saturation < 94%) were 3.1% and 27.1%, respectively. Multivariate logistic regression analysis revealed that an abnormal echocardiogram at presentation was independently associated with the composite end point (odds ratio 6.19, 95% confidence interval 1.50-25.57; P = 0.012). CONCLUSIONS: An abnormal echocardiogram in COVID-19 infection settings is associated with a higher burden of medical comorbidities and independently predicts major adverse end points. Handheld focused echocardiography can be used as an important "rule-out" tool among high-risk patients with COVID-19 and should be integrated into their routine admission evaluation. However, its routine use among low-risk patients is not recommended.

Level of Hypoalbuminemia as a Prognostic Factor in Patients admitted to a Tertiary Care Intensive Coronary Care Unit.

Introduction: Hypoalbuminemia is common in acute and chronic diseases. It has been proposed as a potential biomarker of frailty, which itself is associated with worse outcomes. However, data regarding the level of hypoalbuminemia and its prognosis in contemporary intensive coronary care unit (ICCU) patients is scarce. Materials and Methods: All patients who had albumin level on admission to an ICCU at a tertiary care center between January 1, 2020, and December 31, 2020, were included in the study. Patients were divided into 3 groups according to their albumin level on admission: low (< 3 g/dL), intermediate (3 g/dL≤ and ≤ 4 g/dL) and high albumin level (> 4 g/dL). Survival and in-hospital interventions and complications were compared. Results: Overall 1,036 consecutive patients were included, mean age was 67±16 years and 70% were males. Of them 88 (8.5%) had low, 739 (71.5%) intermediate and 209 (20%) had high albumin levels. In a multivariate cox proportional hazards analysis, low albumin level was independently associated with higher 1-year mortality rate as compared with high albumin level (HR=9.5; 95% CI: 3.2-25.5, p<0.001). Intermediate albumin level had also a trend toward higher 1-year mortality rate as compared with high albumin level (HR=2.1; 95% CI: 0.9-5.6, p=0.09). Conclusion: Hypoalbuminemia in ICCU patients is a poor prognostic factor associated with in-hospital complications and an independent risk factor for 1-year mortality rate, while intermediate albumin level shows a trend towards higher 1-year mortality rate as well.

Coenzyme Q10 in the Treatment of Heart Failure with Preserved Ejection Fraction: A Prospective, Randomized, Double-Blind, Placebo-Controlled Trial.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is common in elderly people and is increasing in prevalence. No specific treatment for this condition exists. Coenzyme Q10 (CoQ10) is an essential cofactor for energy production, with reduced levels being noted in HF. Previous studies have suggested a possible role for CoQ10 in the treatment of HF. This study examined the effect of CoQ10 supplementation on diastolic function in HFpEF patients. METHODS: We conducted a prospective, randomized, double-blind, placebo-controlled trial including patients aged > 55 years presenting with New York Heart Association class II-IV heart failure symptoms and left ventricular ejection fraction > 50%, with impaired diastolic function. Echocardiography and levels of serum N-terminal pro-B-type natriuretic peptide (NT-proBNP) were performed at baseline and following 4 months of CoQ10 or placebo supplementation. RESULTS: A total of 39 patients were enrolled-19 in the CoQ10 group and 20 in the placebo group. Baseline clinical characteristics were similar between groups, while compliance was high and also similar between the CoQ10 and placebo groups. There was no significant effect of treatment on indices of diastolic function (difference in the lateral E/e' ratio: -0.86 ± 6.57 in the CoQ10 group, +0.18 ± 3.76 in the placebo group; p = 0.561) or on serum NT-proBNP levels (- 72 pg/mL vs. - 42 pg/mL; p = 0.195). CONCLUSIONS: In this pilot trial in elderly patients with HFpEF, treatment with CoQ10 did not significantly affect echocardiographic indices of diastolic function and serum NT-proBNP levels. TRIAL REGISTRATION: This trial was registered in the US National Institutes of Health Clinical Trials Registry (ClinicalTrials.gov identifier: NCT02779634).

Association of Contemporary Statin Pretreatment Intensity and LDL-C Levels on the Incidence of STEMI Presentation.

Constituting hypolipidemic and pleiotropic effects, statins stabilize coronary artery plaque and may prevent STEMI events. This study investigated the association between contemporary statin pretreatment intensity, low-density lipoprotein cholesterol (LDL-C) levels, and the type of acute coronary syndrome (ACS) presentation: STEMI vs. NSTE-ACS. Data were drawn from the ACS Israeli Survey (ACSIS), a biennial prospective national survey that took place in 2008-2018. The rate of STEMI vs. NSTE-ACS was calculated by statin use, including statin intensity (high-intensity statin therapy (HIST) and low-intensity statin therapy (LIST) prior to the index ACS event. Among 5103 patients, 2839 (56%) were statin-naive, 1389 (27%) used LIST and 875 (17%) used HIST. Statin pretreated patients were older and had a higher rates of co-morbidities, cardiovascular disease history and pretreatment with evidence-based medications. STEMI vs. NSTE-ACS was lower among HIST vs. LIST vs. statin-naive patients (31.0%, 37.8%, and 54.0%, respectively, p for trend < 0.001). Multivariate analysis revealed that HIST was independently associated with lower STEMI presentation (ORadj 0.70; 95% CI 0.57-0.86), while LIST (ORadj 0.92; 95% CI 0.77-1.10) and LDL-C < 70 mg/dL (ORadj 0.96; 95% CI 0.82-1.14) were not. In conclusion, among patients admitted with ACS, pretreatment with HIST was independently associated with a lower probability of STEMI presentation, while LIST and LDL-C < 70 mg/dL were not.

Availability, timeliness, documentation and quality of consultations among hospital departments: a prospective, comparative study.

BACKGROUND: Many in-patients require care from practitioners in various disciplines. Consultations most probably have significant implications for hospitalization outcomes. PURPOSE: To determine key aspects of consultations provided by various departments to formulate an optimal policy. METHODS: This study comprised two methods: first, a questionnaire was completed in 2019 by 127 physicians interns, residents and senior doctors) from the medical and surgical departments (64 from the surgical wards, 43 from the medical wards and 22 from the emergency room and General ICU) regarding the availability, timeliness and documentation rate of the consultations they received from different disciplines. The investigators rounded through the various departments that were included in the study and they accosted a sample of interns, residents and attending physicians, who were then asked to fill the questionnaire. Overall compliance of filling the questionnaire was 95%. Residents accounted for 72% of the filled questionnaires, seniors and interns accounted for 15 and 13% respectively. Second, a convenience sample of 300 electronic records of hospitalized patients (135 from the surgical wards, 129 from the Medical wards and 36 from the emergency room and General ICU) of actually carried out consultations was reviewed for validated indicators of quality for both the consultation request and response. We used a 5-point Likert scale, ranging from poor (1) to superb (5), to grade the measured parameters. RESULTS: The availability, timeliness and documentation rate for medical consultations were 4 ± 0.9, 4.1 ± 0.9 and 4.3 ± 0.9 respectively, as compared with surgical consultations 3.2 ± 1.1, 3.4 ± 1.2 and 3.6 ± 1.2 respectively (P < 0.001). The mean time (in hours) from the consultation request till documentation (of the requested consultation) by consultants in the medical and surgical departments was 3.9 ± 5.9 and 10.0 ± 15.6, respectively (P < 0.001). The quality of requests of consultations from the medical and surgical departments was 3.4 ± 1.1 and 2.8 ± 1.2, respectively (P < 0.001). Two different models of consultations are employed: while each medical department adopts several departments for medical consultations, each day's on-call surgeon provides all the hospital's surgical consultations. CONCLUSION: We detected significant differences in key aspects of consultations provided by the departments. The medical model of consultations, in which each medical department adopts several other wards to which it provides consulting services upon request, should probably be adopted as a major policy decision by hospitals directors to enhance inter-departmental consultations.

The role of the computerized tomography scanner in the cross-transmission of carbapenem-resistant Acinetobacter baumannii between hospitalized patients.

OBJECTIVE: To assess the role of the computerized tomography (CT) scanner in cross-transmission of carbapenem-resistant Acinetobacter baumannii between hospitalized patients undergoing CT scan. METHODS: A single-centre retrospective observational analysis of inpatients undergoing CT scans. Patient-unique CT scans were defined as 'index cases' (patients undergoing CT scan with carbapenem-resistant Acinetobacter baumannii (CRAB) colonization documented during the previous 60 days), 'incident cases' (patients found colonized with CRAB within 14 days following CT scan), and 'negative cases' (negative for CRAB before and after CT scan). CRAB acquisition was analysed by time interval between CT scan and CT scan of the prior index-case patient. RESULTS: Amongst 73 047 CT scans performed over 5 years, 4834 scans were performed within 12 hours of an index case. CRAB acquisition was detected in 20 patients (incident cases), including 16/2725 (5.8/1000 scans) who underwent CT scan within 6 hours of an index-case CT scan and 4/2109 (1.9/1000 scans) who had their CT scan 7-12 hours after the CT scan of an index-case patient (p 0.033, risk ratio 3.1, 95%CI 1.03-9.25). Patient characteristics for the two time periods were similar. While not the only significant predictor of CRAB acquisition (others included age and length of hospital stay prior to the CT scan), the time elapsed from an index case remained a significant predictor for CRAB acquisition on multivariate analysis (OR 0.84, 95%CI 0.74-0.95, p 0.007). CONCLUSIONS: Performing a CT scan within 6 hours of a CT scan performed in a CRAB-positive patient was an independent predictor of CRAB acquisition, approximately tripling the risk. This probably reflects poor infection control practice in the CT suite.

Utilizing Advanced Telecommunication Strategies to Enhance the Response of Emergency Medical Services Volunteers.

Emergency medical services (EMS) provides a critical role in the rapid treatment, stabilization, and transfer of patients in the prehospital setting. The national EMS provider for Israel has developed a robust and unique organization of volunteers with advanced telecommunication strategies to activate and direct them in order to improve these processes. The volunteers include local high school students, international college students, emergency medical technicians, on-call volunteers, motorcyclists, and Life Guardian first responders. The telecommunication strategies include pagers, push-to-talk over cellular, and sophisticated smartphone-based software applications. These are monitored and directed via a central command and control station. Such processes, both on an organizational as well as technical level, can be adapted to improve prehospital emergency care.

Wisdom of the Crowd in Saving Lives: The Life Guardians App.

Multi-casualty incidents (MCIs) continue to occur throughout the world, whether they be mass shootings or natural disasters. Prehospital emergency services have done a professional job at stabilizing and transporting the victims to local hospitals. When there are multiple casualties, there may not be enough professional responders to care for the injured. Bystanders and organized volunteer first responders have often helped in extricating the victims, stopping the bleeding, and aiding in the evacuation of the victims. Magen David Adom (MDA translated as "Red Shield of David"), the national Emergency Medical Services (EMS) provider for Israel, has successfully introduced a program for volunteer first responders that includes both a mobile-phone-based application and appropriate life-saving equipment. Most of the responders, known as Life Guardians, are already medical professionals such as physicians, nurses, or off-duty medics. They are notified by a global positioning system application if there is a nearby life-threatening incident such as respiratory or cardiac arrest, major trauma, or an MCI. They are given a kit that includes a bag-valve mask device, oropharyngeal airways, tourniquets, and bandages. There are currently 17,000 Life Guardians, and in the first-half of 2017, they responded to 253 events.The Life Guardians are essentially an out-of-hospital manpower multiplier using a simple crowdsourcing application who have the necessary skills and equipment to treat those in cardiopulmonary arrest, or victims of trauma, including MCIs. Such a model can be integrated into other systems throughout the world to save lives. JaffeE, DadonZ, AlpertEA. Wisdom of the crowd in saving lives: the Life Guardians app. Prehosp Disaster Med. 2018;33(5):550-552.

Spondylodiskitis and endocarditis due to Streptococcus gordonii.

BACKGROUND: Streptococcus gordonii is an infrequent cause of infective endocarditis (IE); associated spondylodiskitis has not yet been described in the literature. PURPOSE: We describe 2 patients who presented with new-onset, severe back pain; blood cultures revealed S. gordonii bacteremia, which led to the diagnosis of spondylodiskitis and IE. We review our 2-decade experience with S. gordonii bacteremia to describe the clinical and epidemiological characteristics of these patients. RESULTS: In our hospital over the last 20 years (1998-2017), a total of 15 patients with S. gordonii bacteremia were diagnosed, including 11 men and 4 women, and the mean age was 65 ± 22 (range 23-95). The most common diagnosis was IE (9 patients), spondylodiskitis (the presented 2 patients, who in addition were diagnosed with endocarditis), necrotizing fasciitis (1), sternitis (1), septic arthritis (1) and pneumonia (1). The 11 patients with IE were treated with penicillin ± gentamicin, or ceftriaxone for 6 weeks, 5 required valve surgery and 10/11 (91%) attained complete cure. The 2 patients with diskitis required 2-3 months of intravenous antibiotics to achieve complete cure. CONCLUSION: Spondylodiskitis was the presenting symptom of 2/11 (18%) patients with S. gordonii endocarditis. Spondylodiskitis should probably be looked for in patients diagnosed with S. gordonii endocarditis and back pain as duration of antibiotic treatment to achieve complete cure may be considerably longer.