Hezi Levi’s research while affiliated with Barzilai University Medical Center, Ashqelon and other places

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Publications (2)


Map depicting missile alerts during the initial 24 h of the Hamas-Israel war. a The presented data pertains to the region encompassing BUMCA, situated in Ashkelon, where Hamas missile targets were more concentrated compared to the surrounding areas. It is crucial to note that the data points are solely updated in response to missile alerts received through the Home Front Command website. Consequently, they do not accurately reflect the actual count of missiles launched, which is higher than what is represented in the provided dataset
aArmed conflict which began on October 7th 2023, when Hamas terrorist from Gaza attacked Israel with rockets, invaded into Israel and brutally murdered thousands of civilians (Jewish, Christian and Muslim) among other violent acts. BUMCA = Barzilai University Medical Centre, Ashkelon, Israel
Number of patients arrived at the BUMCA's ER amid missile attacks launched from Gaza toward southern Israel, within the initial 24 h of the Hamas-Israel war. a The graph illustrates the correlation between the number of patients (left y-axis) and the number of missile alerts (right y-axis) on an hourly basis (x-axis). The absence of data at the beginning of the missile alerts plot is attributed to a data overload, a consequence of the simultaneous firing of thousands of missiles within the initial 3 h
aArmed conflict which began on October 7th 2023, when Hamas terrorist from Gaza attacked Israel with rockets, invaded into Israel and brutally murdered thousands of civilians (Jewish, Christian and Muslim) among other violant acts. BUMCA = Barzilai Unversity Medical Center, Ashkelon, Israel; ED = emergency department
Kaplan–Meier plot depicting patients who presented at BUMCA's ER within the initial 24 h of the Hamas-Israel war. a The Kaplan–Meier plot for patients arrived at the ER, shows the probability of survival over time b for these patients: the estimated survival probability (y-axis) at each time point (x-axis)
aArmed conflict which began on October 7th 2023, when Hamas terrorist from Gaza attacked Israel with rockets, invaded into Israel and brutally murdered thousands of civilians (Jewish, Christian and Muslim) among other violant acts. b1.0 = 100%. BUMCA = Barzilai Unversity Medical Center, Ashkelon, Israel; ER = emergency room
Evaluating emergency response at a hospital near the Gaza border within 24 h of increased conflict
  • Article
  • Full-text available

March 2024

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116 Reads

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7 Citations

BMC Emergency Medicine

Hezi Levi

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Gili Givaty

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Background Frontline hospitals near active hostilities face unique challenges in delivering emergency care amid threats to infrastructure and personnel safety. Existing literature focuses on individual aspects like mass casualty protocols or medical neutrality, with limited analysis of operating acute services directly under fire. Objectives To describe the experience of a hospital situated meters from hostilities and analyze strategies implemented for triage, expanding surge capacity, and maintaining continuity of care during attacks with limited medical staff availability due to hazardous conditions. A focus will be placed on assessing how the hospital functioned and adapted care delivery models in the event of staffing limitations preventing all teams from arriving on site. Methods A retrospective case study was conducted of patient records from Barzilai University Medical Center at Ashkelon (BUMCA) Medical Center in Israel within the first 24 h after escalated conflict began on October 7, 2023. Data on 232 admissions were analyzed regarding demographics, treatment protocols, time to disposition, and mortality. Missile alert data correlated patient surges to attacks. Statistical and geospatial analyses were performed. Results Patients predominantly male soldiers exhibited blast/multisystem trauma. Patient surges at the hospital were found to be correlated with the detection of incoming missile attacks from Gaza within 60 min of launch. While 131 (56%) patients were discharged and 55 (24%) transferred within 24 h, probabilities of survival declined over time reflecting injury severity limitations. 31 deaths occurred from severe presentation. Conclusion Insights gleaned provide a compelling case study on managing mass casualties at the true frontlines. By disseminating BUMCA's trauma response experience, strategies can strengthen frontline hospital protocols optimizing emergency care delivery during hazardous armed conflicts through dynamic surge capacity expansion, early intervention prioritization, and infrastructure/personnel protection measures informed by risks.

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Figure 1. Flow chart of HCW who Participated at Each Stage of The Survey.
Figure 2. IgG anti-S Levels Over Time. (A) Gender; (B) age (50 or younger, Older than 50); (C) direct patient contact. Circles and crosses represent individual IgG Anti-S values; means and 95% confidence intervals are only calculated for the comparable sample.
Demographic characteristics of the study population
Independent effects of sociodemographic and personal background variables on levels of antibodies from the GEE model.
Assessment of Predictors for SARS-CoV-2 Antibodies Decline Rate in Health Care Workers after BNT162b2 Vaccination—Results from a Serological Survey

September 2022

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54 Reads

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2 Citations

Background: SARS-CoV-2 is a novel human pathogen causing Coronavirus Disease 2019 that has caused widespread global mortality and morbidity. Since health workers in Israel were among the first to be vaccinated, we had a unique opportunity to investigate the post-vaccination level of IgG anti-S levels antibodies (Abs) and their dynamics by demographic and professional factors. Methods: Prospective Serological Survey during December 2020-August 2021 at Barzilai Medical Center among 458 health care workers (HCW) followed for 6 months after the second BNT162b2 vaccine dose. Results: Antibody levels before the second dose, and 30, 90 and 180 days after were 57.1 ± 29.2, 223 ± 70.2, 172.8 ± 73.3 and 166.4 ± 100.7 AU/mL, respectively. From GEE analysis, females had higher Abs levels (β = 26.37 AU/mL, p = 0.002). Age was negatively associated with Abs, with a 1.17 AU/mL decrease for each additional year (p < 0.001). Direct contact with patients was associated with lower Abs by 25.02 AU/mL (p = 0.009) compared to working with no such contact. The average decline rate overall for the study period was 3.0 ± 2.9 AU/mL per week without differences by demographic parameters and was faster during the first 3 months after vaccination than in the subsequent 3 months. Conclusions: All demographic groups experienced a decline in Abs over time, faster during the first 3 months. Findings of overall Abs lower in males, workers with direct contact with patients, and older workers, should be considered for policy-making about choosing priority populations for additional vaccine doses in hospital settings.

Citations (2)


... This indicates that while there is some level of efficiency in the referral process, logistical challenges, communication barriers, and overburdened healthcare systems continue to hinder optimal care. The issue of referral inefficiency in Gaza's hospitals is consistent with findings of previous studies (25,26), they noted that the lack of communication between healthcare centers and the overburdened healthcare system leads to delays in treatment and discontinuity of care. Improving referral systems in Gaza requires addressing these systemic challenges, including improving the coordination between hospitals and establishing robust mechanisms for patient information exchange. ...

Reference:

Healthcare Providers' Insights on Pediatric Care Quality in Gaza Hospitals: Integrating Evidence-Based Practices and Illness Management, Health Information Systems, and Referral Efficiency
Evaluating emergency response at a hospital near the Gaza border within 24 h of increased conflict

BMC Emergency Medicine

... Previous studies showed vaccinated individuals have different kinetics of antibody levels compared to convalescent patients, with higher initial levels, but a much faster exponential decrease in people who received mRNA vaccines. Individuals vaccinated with mRNA vaccines have shown a continuous decline of their antibody levels over a period of months 4-6 months post-vaccination [25][26][27][28][29][30][31][32]. Individuals vaccinated with Ad26.COV2.S initially elicit substantially lower antibody responses than mRNA vaccines, but their antibody titers increase over the first few months in some individuals [30,33]. ...

Assessment of Predictors for SARS-CoV-2 Antibodies Decline Rate in Health Care Workers after BNT162b2 Vaccination—Results from a Serological Survey