Factors Associated with Virological Failure in First-Line Antiretroviral Therapy in Patients Diagnosed with HIV-1 between 2010 and 2018 in Israel.

Despite the progress in contemporary antiretroviral therapy (ART) and the continuous changes in treatment guidelines, virological failure (VF) is still an ongoing concern. The goal of this study was to assess factors related to VF after first-line ART. A longitudinal cohort retrospective study of individuals on first-line ART diagnosed with HIV-1 in 2010-2018 and followed-up for a median of two years was conducted. Demographics, baseline and longitudinal CD4 counts, treatment regimens, adherence and VF were recorded. The Cox proportional hazards regression and mixed models were used. A cohort of 1130 patients were included. Overall, 80% were males and 62% were Israeli-born individuals. Compared to individuals diagnosed in 2010-2014, when treatment was initiated according to CD4 levels, those diagnosed in 2015-2018 were older and had lower baseline CD4 counts. VF was recorded in 66 (5.8%) patients. Diagnosis with CD4 <200 cells/mmᶟ with AIDS-defining conditions (HR = 2.75, 95%CI:1.52-4.97, p < 0.001) and non-integrase strand transfer inhibitor regimens (non-INSTI, HR = 1.80, 95%CI:1.01-3.24, p = 0.047) increased VF risk. No impact of baseline resistance was observed. We concluded that the early detection of HIV-1 infection and usage of INSTI-based regimens are recommended to reduce VF.

Rapid determination of Proteus mirabilis susceptibility to antibiotics using infrared spectroscopy in tandem with random forest.

Bacterial infections cause serious illnesses that are treated with antibiotics. Currently used methods for detecting bacterial antibiotic susceptibility consume 48-72 h, leading to overuse of antibiotics. Thus, many bacterial species have acquired resistance to a broad range of available antibiotics. There is an urgent need to develop efficient methods for rapid determination of bacterial susceptibility to antibiotics. The combination of machine learning and Fourier-transform infrared (FTIR) spectroscopy has generated a promising diagnostic approach in medicine and biology. Our main goal is to examine the potential of FTIR spectroscopy to determine the susceptibility of urinary tract infection-Proteus mirabilis to a specific range of antibiotics, within about 20 min after 24 h culture and identification. We measured the infrared spectra of 489 different P. mirabilis isolates and used random forest to analyze this spectral database. A classification success rate of ~84% was achieved in differentiating between the resistant and sensitive isolates based on their susceptibility to ceftazidime, ceftriaxone, cefuroxime, cefuroxime axetil, cephalexin, ciprofloxacin, gentamicin, and sulfamethoxazole antibiotics in a time span of 24 h instead of 48 h.

Fast identification and susceptibility determination of E. coli isolated directly from patients' urine using infrared-spectroscopy and machine learning.

For effective treatment, it is crucial to identify the infecting bacterium at the species level and to determine its antimicrobial susceptibility. This is especially true now, when numerous bacteria have developed multidrug resistance to most commonly used antibiotics. Currently used methods need âˆ¼ 48 h to identify a bacterium and determine its susceptibility to specific antibiotics. This study reports the potential of using infrared spectroscopy with machine learning algorithms to identify E. coli isolated directly from patients' urine while simultaneously determining its susceptibility to antibiotics within âˆ¼ 40 min after receiving the patient's urine sample. For this goal, 1,765 E. coli isolates purified directly from urine samples were collected from patients with urinary tract infections (UTIs). After collection, the samples were tested by infrared microscopy and analyzed by machine learning. We achieved success rates of âˆ¼ 96% in isolate level identification and âˆ¼ 84% in susceptibility determination.

Culture-independent susceptibility determination of E. coli isolated directly from patients' urine using FTIR and machine-learning.

One of the most common human bacterial infections is the urinary tract infection (UTI). The main cause of UTI is Escherichia (E.) coli bacteria (∼75%). Because most of the bacteria are resistant to many antibiotics as a result of their indiscriminate overuse, it is extremely important, for effective treatment, to identify the infecting bacteria and to determine, as quickly as possible, their susceptibility to antibiotics. Classical methods require at least 48 hours for determining bacterial susceptibility. In this study, 1798 E. coli isolates from different UTIs were isolated directly from patients' urine, measured by Fourier transform infrared (FTIR) microscopy and analyzed by machine learning algorithms for simultaneous identification and susceptibility determination within 40 minutes since receiving the urine samples. Our results show that it is possible to identify the bacteria at the species level with an accuracy of ∼95% and to determine their susceptibility to different antibiotics with an accuracy ranging from 75% to 83%.

Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa's susceptibility to antibiotics.

Pseudomonas (P.) aeruginosa is a bacterium responsible for severe infections that have become a real concern in hospital environments. Nosocomial infections caused by P. aeruginosa are often hard to treat because of its intrinsic resistance and remarkable ability to acquire further resistance mechanisms to multiple groups of antimicrobial agents. Thus, rapid determination of the susceptibility of P. aeruginosa isolates to antibiotics is crucial for effective treatment. The current methods used for susceptibility determination are time-consuming; hence the importance of developing a new method. Fourier-transform infra-red (FTIR) spectroscopy is known as a rapid and sensitive diagnostic tool, with the ability to detect minor abnormal molecular changes including those associated with the development of antibiotic- resistant bacteria. The main goal of this study is to evaluate the potential of FTIR spectroscopy together with machine learning algorithms, to determine the susceptibility of P. aeruginosa to different antibiotics in a time span of ∼20 min after the first culture. For this goal, 590 isolates of P. aeruginosa, obtained from different infection sites of various patients, were measured by FTIR spectroscopy and analyzed by machine learning algorithms. We have successfully determined the susceptibility of P. aeruginosa to various antibiotics with an accuracy of 82-90%.

Determination of Klebsiella pneumoniae Susceptibility to Antibiotics Using Infrared Microscopy.

Klebsiella pneumoniae (K. pneumoniae) is one of the most aggressive multidrug-resistant bacteria associated with human infections, resulting in high mortality and morbidity. We obtained 1190 K. pneumoniae isolates from different patients with urinary tract infections. The isolates were measured to determine their susceptibility regarding nine specific antibiotics. This study's primary goal is to evaluate the potential of infrared spectroscopy in tandem with machine learning to assess the susceptibility of K. pneumoniae within approximately 20 min following the first culture. Our results confirm that it was possible to classify the isolates into sensitive and resistant with a success rate higher than 80% for the tested antibiotics. These results prove the promising potential of infrared spectroscopy as a powerful method for a K. pneumoniae susceptibility test.

The impact of gender on early scientific publication and long-term career advancement in Israeli medical school graduates.

BACKGROUND: Many medical schools and residency programs incorporate research projects into their curriculum, however most remain unpublished. Little is known on the long-term effect of early-career publication, especially in female graduates. METHODS: We collected data on physicians 15-20 years after graduation (representing a mid-career point), and analysed data on early publication, publication volume and impact according to graduates' gender and professional characteristics. Physicians were divided into those who never published, early-publishers (EP) who published within 2 years of graduation and late-publishers (LP). We analysed and compared the demographics, publication volume, publication quality as well as current mid-career position. RESULTS: Of 532 physicians, 185 were EP (34.8%), 220 were LP (41.3%), 127 (23.9%) never published, 491 (92.2%) became specialists and 122 (22.3%) achieved managerial position. Of the 405 who published, the average number of publications was 20.3 ± 33.0, and median (IQR) 9(19). H-index was significantly higher in EP, males, surgical specialists, and those holding a managerial position. Male gender was associated with higher publication rate (OR = 1.742; 95% CI 1.193-2.544; P = 0.004). Using quantile regression, female gender was negatively associated with the number of publications in Q50-Q95. Surgical specialty and managerial position were positively associated with publications in Q25 to Q75 and early publication in Q25 and Q75. CONCLUSIONS: We found a strong association between EP and the number, impact, and quality of publications throughout their academic career. This study illuminates the need for further investigations into the causes of gender discrepancies. We should invest in support programs encouraging early high quality research projects for young physicians and female graduates.

Rapid detection of Klebsiella pneumoniae producing extended spectrum ß lactamase enzymes by infrared microspectroscopy and machine learning algorithms.

Antimicrobial drugs have played an indispensable role in decreasing morbidity and mortality associated with infectious diseases. However, the resistance of bacteria to a broad spectrum of commonly-used antibiotics has grown to the point of being a global health-care problem. One of the most important classes of multi-drug resistant bacteria is Extended Spectrum Beta-Lactamase-producing (ESBL+) bacteria. This increase in bacterial resistance to antibiotics is mainly due to the long time (about 48 h) that it takes to obtain lab results of detecting ESBL-producing bacteria. Thus, rapid detection of ESBL+ bacteria is highly important for efficient treatment of bacterial infections. In this study, we evaluated the potential of infrared microspectroscopy in tandem with machine learning algorithms for rapid detection of ESBL-producing Klebsiella pneumoniae (K. pneumoniae) obtained from samples of patients with urinary tract infections. 285 ESBL+ and 365 ESBL-K. pneumoniae samples, gathered from cultured colonies, were examined. Our results show that it is possible to determine that K. pneumoniae is ESBL+ with ∼89% accuracy, ∼88% sensitivity and ∼89% specificity, in a time span of ∼20 minutes following the initial culture.

Epidemiology and Transmitted HIV-1 Drug Resistance among Treatment-Naïve Individuals in Israel, 2010-2018.

Despite the low prevalence of HIV-1 in Israel, continuous waves of immigration may have impacted the local epidemic. We characterized all people diagnosed with HIV-1 in Israel in 2010-2018. The demographics and clinical data of all individuals (n = 3639) newly diagnosed with HIV-1 were retrieved. Subtypes, transmitted drug-resistance mutations (TDRM), and phylogenetic relations, were determined in >50% of them. In 39.1%, HIV-1 transmission was through heterosexual contact; 34.3% were men who have sex with men (MSM); and 10.4% were people who inject drugs. Many (>65%) were immigrants. Israeli-born individuals were mostly (78.3%) MSM, whereas only 9% of those born in Sub-Saharan Africa (SSA), Eastern Europe and Central Asia (EEU/CA), were MSM. The proportion of individuals from SSA decreased through the years 2010-2018 (21.1% in 2010-2012; 16.8% in 2016-2018) whereas those from EEU/CA increased significantly (21% in 2010-2012; 27.8% in 2016-2018, p < 0.001). TDRM were identified in 12.1%; 3.7, 3.3 and 6.6% had protease inhibitors (PI), nucleotide reverse transcriptase inhibitors (NRTI), and non-nucleoside reverse transcriptase inhibitors (NNRTI) TDRM, respectively, with the overall proportion remaining stable in the studied years. None had integrase TDRM. Subtype B was present in 43.9%, subtype A in 25.2% (A6 in 22.8 and A1 in 2.4%) and subtype C in 17.1% of individuals. Most MSM had subtype B. Subtype C carriers formed small clusters (with one unexpected MSM cluster), A1 formed a cluster mainly of locally-born patients with NNRTI mutations, and A6 formed a looser cluster of individuals mainly from EEU. Israelis, <50 years old, carrying A1, had the highest risk for having TDRM. In conclusion, an increase in immigrants from EEU/CA and a decrease in those from SSA characterized the HIV-1 epidemic in 2010-2018. Baseline resistance testing should still be recommended to identify TDRM, and improve surveillance and care.

Administering an additional hepatitis B vaccination dose after 18 years maintains adequate long-term protection levels in healthcare workers.

Background: HBV (hepatitis B virus) vaccination in first year of life is recommended to prevent infection. Observational studies have suggested that vaccination at birth provides protection for 90% of the population for 30 years. Data on response to booster doses and long-term protection are lacking.Methods: We compared HBV antibody levels of healthcare students who were immunized for HBV with a primary series during their first year of life (primary) to students who were immunized with a primary series and received an additional dose at age 18 (boosted) four years earlier. Antibody titres ≥10 mIU/mL were considered adequate. Those that were inadequate received another dose and were reassessed.Results: We assessed 381 students, 80.1% were primary and 19.9% boosted. A significantly higher percentage of students in the boosted group had antibody titre levels ≥10 mIU/mL compared to primary group (88.1% vs. 41.3%, p < .001). Of 179 students in the primary group with inadequate antibody levels, 134 received a booster dose and 126 of them (94%) developed anti-HBs levels ≥10 mIU/mL. Of 9 students with inadequate levels in the boosted group, 8 received another booster dose and all developed adequate levels.Conclusions: Primary vaccination against HBV at birth does not necessarily provide lifelong adequate antibody levels. Boosting at 18 years reinforces antibody levels for at least four more years. Current guidelines recommend testing and boosting all medical personal. Based on our study, it may be prudent to extend this practice to all individuals who are at higher risk.

The impact of incorporating early rapid influenza diagnosis on hospital occupancy and hospital acquired influenza.

OBJECTIVE: To assess the impact of incorporating early rapid influenza diagnosis on antimicrobial usage, nosocomial influenza transmission, length of stay, and occupancy rates among hospitalized patients. SETTING: A 1,100 bed tertiary-care hospital in southern Israel. METHODS: We implemented early rapid detection of influenza with immediate communication of results. Using Orion methods, we compared the 2017-2018 influenza season to the prior season in our hospital and to the 2017-2018 occupancy rates at other Israeli hospitals. RESULTS: During the intervention season, 5,006 patients were admitted; 1,824 were tested for influenza, of whom 437 (23.9%) were positive. In the previous season, 4,825 patients were admitted; 1,225 were tested and 288 (23.5%) were positive. Time from admission to test report decreased from 35.5 to 18.4 hours (P < .001). Early discharge rates significantly increased, from 21.5% to 41.6% at 36 hours, from 37.2% to 54.5% at 48 hours, and from 66% to 73.2% at 72 hours. No increase in repeat ER visits, readmission, or mortality rates was observed. Hospital occupancy decreased by 10% compared to the previous year and was 26% lower than the national rate. Hospital-acquired influenza cases were reduced from 37 (11.4%) to 12 (2.7%) (P < .001). Antibiotic usage was reduced both before and after notification of test results by 16% and 12%, respectively. CONCLUSIONS: Implementing this intervention led to earlier discharge of patients, lower occupancy in medical wards, reduced antibiotic administration, and fewer hospital-acquired influenza events. This strategy is useful for optimizing hospital resources, and its implementation should be considered for upcoming influenza seasons.

Fast and reliable determination of Escherichia coli susceptibility to antibiotics: Infrared microscopy in tandem with machine learning algorithms.

Antimicrobial drugs have an important role in controlling bacterial infectious diseases. However, the increasing resistance of bacteria to antibiotics has become a global health care problem. Rapid determination of antimicrobial susceptibility of clinical isolates is often crucial for the optimal antimicrobial therapy. The conventional methods used in medical centers for susceptibility testing are time-consuming (>2 days). Two bacterial culture steps are needed, the first is used to grow the bacteria from urine on agar plates to determine the species of the bacteria (~24 hours). The second culture is used to determine the susceptibility by growing colonies from the first culture for another 24 hours. Here, the main goal is to examine the potential of infrared microscopy combined with multivariate analysis, to reduce the time it takes to identify Escherichia coli susceptibility to antibiotics and to determine the optimum choice of antibiotic to which the bacteria will respond. E coli colonies of the first culture from patients with urinary tract infections (UTI) were examined for the bacterial susceptibility using Fourier-transform infrared (FTIR). Our results show that it is possible to determine the optimum choice of antibiotic with better than 89% sensitivity, in the time span of few minutes, following the first culture.

Detection of Extended-Spectrum ß-Lactamase-Producing Escherichia coli Using Infrared Microscopy and Machine-Learning Algorithms.

The spread of multidrug resistant bacteria has become a global concern. One of the most important and emergent classes of multidrug-resistant bacteria is extended-spectrum ß-lactamase-producing bacteria (ESBL-positive = ESBL+). Due to widespread and continuous evolution of ESBL-producing bacteria, they become increasingly resistant to many of the commonly used antibiotics, leading to an increase in the mortality associated with resulting infections. Timely detection of ESBL-producing bacteria and rapid determination of their susceptibility to appropriate antibiotics can reduce the spread of these bacteria and the consequent complications. Routine methods used for the detection of ESBL-producing bacteria are time-consuming, requiring at least 48 h to obtain results. In this study, we evaluated the potential of infrared spectroscopic microscopy, combined with multivariate analysis for rapid detection of ESBL-producing Escherichia coli ( E. coli) isolated from urinary-tract infection (UTI) samples. Our measurements were conducted on 837 samples of uropathogenic E. coli (UPEC), including 268 ESBL+ and 569 ESBL-negative (ESBL-) samples. All samples were obtained from bacterial colonies after 24 h culture (first culture) from midstream patients' urine. Our results revealed that it is possible to detect ESBL-producing bacteria, with a 97% success rate, 99% sensitivity, and 94% specificity for the tested samples, in a time span of few minutes following the first culture.

The intentions of Israeli nurses attending university programs to receive seasonal influenza vaccination.

BACKGROUND: Seasonal influenza vaccination (SIV) among medical personnel is a key factor in preventive medicine and patient safety. OBJECTIVE: To identify social-cognitive predictors of Israeli Registered Nurses' (RNs) intentions to receive SIV utilizing the Theory of Planned Behaviour (TPB) model, and to assess its predictive validity. METHODS: A cross-sectional study was conducted. A structured, self-reported, anonymous, 43-item questionnaire, based on an extended version of the TPB, was administered to 80 nurses attending Master's or Bachelor in Nursing degrees curriculums. A multivariable regression analysis was used to determine independent predictors of influenza vaccination compliance among nurses. RESULTS: A multivariable regression analysis indicated that two TPB model variables: control beliefs (ß = 0.277, P < 0.01) and attitudes regarding SIV (ß = 0.441, P < 0.001) contributed significantly to the prediction of RNs' SIV intentions. CONCLUSIONS: The results of the current study indicate that the TPB may partially explain the intentions of RNs to receive SIV and illustrates the importance of beliefs and attitudes to health-related behaviours. It may direct us to seek interventions focusing on strengthening beliefs and attitudes to achieve higher intention levels to get vaccinated and thus affect the desired behaviours.

Ethnic Diversity and Increasing Resistance Patterns of Hospitalized Community-Acquired Urinary Tract Infections in Southern Israel: A Prospective Study.

BACKGROUND: Little is known about the incidence of urinary tract infections (UTI) in the dispersed Bedouin population. UTIs are routinely treated empirically according to local resistance patterns, which is important when evaluating the risk factors and antibiotic resistance patterns in the Bedouin population. OBJECTIVES: To analyze risk factors, pathogens, and antibiotic resistance patterns of UTIs in the Bedouin population compared to the general population in southern Israel. To compare data from this study to that from a previous study conducted at our center. METHODS: We prospectively followed all patients hospitalized with community acquired UTIs during a 4 month period at Soroka Medical Center. We also compared results from this study to those from a study conducted in 2000. RESULTS: The study comprised 223 patients: 44 Bedouin (19.7%), 179 (80.3) non-Bedouin; 158 female (70.9%), 65 male (29.1). The Bedouin were younger (51.7 vs. 71.1 years of age, P < 0.001) and had a lower Charlson Comorbidity Index (2.25 vs. 4.87, P < 0.001). Enterobacteriaceae were the most common pathogens identified, and Escherichia coli (E. coli) was the most common with 156 (70%) strains identified, followed by Klebsiella spp. with 29 (13%), Proteus spp. with 18 (8%), pseudomonas with 9 (4%), and other bacteria including enterococci with 11 (5%). The prevalence of E. coli increased significantly from 56% in 2000 to 70% in this study. We also noted an increase in community acquired extended spectrum beta lactamase (ESBL) pathogens from 4.5% in 2000 to 25.5% in the present study. No statistically significant difference was observed between the Bedouin and general populations in the causal pathogens, resistance to antibiotics, length of therapy, and readmission rate within 60 days. CONCLUSIONS: The Bedouin population hospitalized for UTIs is younger and presents with fewer co-morbidities. Isolated pathogens were similar to those found in the general population as was the presence of drug resistant infections. Overall, a substantial percentage of pathogens were resistant to standard first-line antibiotics, driving the need to change from empiric therapy to aminoglycoside therapy.

Using Infrared Spectroscopy and Multivariate Analysis to Detect Antibiotics' Resistant Escherichia coli Bacteria.

Bacterial pathogens are one of the primary causes of human morbidity worldwide. Historically, antibiotics have been highly effective against most bacterial pathogens; however, the increasing resistance of bacteria to a broad spectrum of commonly used antibiotics has become a global health-care problem. Early and rapid determination of bacterial susceptibility to antibiotics has become essential in many clinical settings and, sometimes, can save lives. Currently classical procedures require at least 48 h for determining bacterial susceptibility, which can constitute a life-threatening delay for effective treatment. Infrared (IR) microscopy is a rapid and inexpensive technique, which has been used successfully for the detection and identification of various biological samples; nonetheless, its true potential in routine clinical diagnosis has not yet been established. In this study, we evaluated the potential of this technique for rapid identification of bacterial susceptibility to specific antibiotics based on the IR spectra of the bacteria. IR spectroscopy was conducted on bacterial colonies, obtained after 24 h culture from patients' samples. An IR microscope was utilized, and a computational classification method was developed to analyze the IR spectra by novel pattern-recognition and statistical tools, to determine E. coli susceptibility within a few minutes to different antibiotics, gentamicin, ceftazidime, nitrofurantoin, nalidixic acid, ofloxacin. Our results show that it was possible to classify the tested bacteria into sensitive and resistant types, with success rates as high as 85% for a number of examined antibiotics. These promising results open the potential of this technique for faster determination of bacterial susceptibility to certain antibiotics.

Detection of antibiotic resistant Escherichia Coli bacteria using infrared microscopy and advanced multivariate analysis.

Bacterial resistance to antibiotics is becoming a global health-care problem. Bacteria are involved in many diseases, and antibiotics have been the most effective treatment for them. It is essential to treat an infection with an antibiotic to which the infecting bacteria is sensitive; otherwise, the treatment is not effective and may lead to life-threatening progression of disease. Classical microbiology methods that are used for determination of bacterial susceptibility to antibiotics are time consuming, accounting for problematic delays in the administration of appropriate drugs. Infrared-absorption microscopy is a sensitive and rapid method, enabling the acquisition of biochemical information from cells at the molecular level. The combination of Fourier transform infrared (FTIR) microscopy with new statistical classification methods for spectral analysis has become a powerful technique, with the ability to detect structural molecular changes associated with resistivity of bacteria to antibiotics. It was possible to differentiate between isolates of Escherichia (E.) coli that were sensitive or resistant to different antibiotics with good accuracy. The objective computational classifier, based on infrared absorption spectra, is highly sensitive to the subtle infrared spectral changes that correlate with molecular changes associated with resistivity. These changes enable differentiating between the resistant and sensitive E. coli isolates within a few minutes, following the initial culture. This study provides proof-of-concept evidence for the translational potential of this spectroscopic technique in the clinical management of bacterial infections, by characterizing and classifying antibiotic resistance in a much shorter time than possible with current standard laboratory methods.

Invasive pneumococcal disease (IPD) in HIV infected patients in Israel since the introduction of pneumococcal conjugated vaccines (PCV): Analysis of a nationwide surveillance study, 2009-2014.

STUDY AIM: to assess the incidence, risk factors and outcome of invasive pneumococcal disease (IPD) among the Israeli HIV population. A matched case-control study nested in a nationwide, prospective, population-based, cohort of adult IPD was performed. In addition, the HIV-IPD patients were compared to the general adult HIV population in Israel. STUDY PERIOD: from the introduction of PCV into the national immunization program (NIP) in July 2009 to June 2014. Each HIV patient within the IPD cohort was matched to 4 non-HIV controls. Serotyping was performed by a central laboratory using the Quellung reaction. Thirty-five IPD episodes in 33 HIV patients were identified, with a median annual incidence of 128/100,000 HIV+ persons compared to 5.1/100,000 in the age-matched, non-HIV population. Compared to the general HIV population, HIV-IPD patients practiced intravenous drug use more frequently and originated from a country with generalized epidemic (OGE), mainly non-citizens lacking medical insurance. The proportion of men who have sex with men (MSM) was lower than in the general HIV population. Pneumonia was the most common clinical presentation (81%), while meningitis occurred in only one patient. Outcomes were similar to those of the IPD non-HIV population. Nineteen serotypes were identified, of which only 42% were covered by PCV13 vaccine. By 2014, none of the HIV-IPD cases belonged to serotypes covered by PCV13. In conclusion, most HIV IPD cases were from marginalized populations with poor access to health services. A decrease in IPD cases covered by PCV 13 was observed.

Cutaneous leishmaniasis caused by Leishmania infantum in Southern Israel.

Cutaneous leishmaniasis (CL) caused by Leishmania major is common in southern Israel, while Leishmania infantum (sub-strain of L. donovani, causing zoonotic visceral leishmaniasis) infections were rarely reported in Israel and only in other regions. We report the first case of L. infantum infection in southern Israel, presented atypically as CL in an immunosuppressed 47-year old male. The patient was treated with liposomal amphotericin-B and recovered, without extra-cutaneous complications. Diagnosis of L. infantum CL was confirmed by microscopic identification of amastigotes in Gimsa-stained smear of skin lesion, positive blood serology and a positive polymerase chain reaction (PCR) amplification of the internal transcribed spacer 1 genes (ITS1) and restriction fragment length polymorphism (ITS1 PCR-RFLP). We also review the medical literature on old-world CL caused by L. infantum. Multiple L. donovani/infantum CL cases were identified in the literature search. These can be divided schematically to two: 1) In several endemic countries, L. infantum strains are the main causative agents of CL; 2) In other regions, CL is almost exclusively caused by L. major or L. tropica, while L. donovani strains CL cases were reported sporadically or as imported disease.

[BRUCELLA MELITENSIS (BM) BACTEREMIA IN HOSPITALIZED ADULT PATIENTS IN SOUTHERN ISRAEL].

BACKGROUND: Southern Israel is endemic for Brucella melitensis (BM) infection. AIMS: This study aims to describe clinical manifestations and laboratory abnormalities in hospitalized adults with BM-bacteremia and to assess the relationship between various laboratory parameters, outcomes and complications of brucellosis. METHODS: This is a retrospective study. All BM bacteremic patients hospitalized in the Soroka University Medical Center (SUMC) during 2006-2011 were included. Demographic, clinical data and laboratory results were collected from the medical records. RESULTS: A total of 114 patients were included in the study, mostly of Bedouin-Arab origin (92%). The average age was 44 years (±18.4) and included 62 females (54%) of whom 11 were pregnant. Most of the subjects were exposed to sheep or their milk or meat products. The main symptoms included fever, arthralgia, myalgia, headache, and low back pain. Complications were present in 22 patients (19%): arthritis and osteomyelitis (59%), spontaneous abortion (36% of pregnant woman), endocarditis and epididymitis. The incidence of complications was correlated to anemia and leukopenia (p=0.03) and to a low neutrophil count (p=0.009). A decrease of albumin by one unit correlated with an increased hospitalization length by 1.9 days; older age also correlated with a prolonged stay. Complications were present in 45% of pregnant women vs. 10% in non-pregnant women (p=0.011. Relapse occurred in nine patients (8%); only one of these received adequate antibiotic treatment. CONCLUSIONS: MB-bacteremia in southern Israel occurs mainly in Bedouin-Arabs after exposure to sheep or their products. Older age and low albumin levels increase hospitalization. Leukopenia, mainly low neutrophil count, and low thrombocyte count can predict complications. Pregnant women have a higher incidence of complications. Relapse is rare under adequate antibiotic treatment.