The emergence of highly resistant and hypervirulent Klebsiella pneumoniae CC14 clone in a tertiary hospital over 8 years.

BACKGROUND: Klebsiella pneumoniae is a major bacterial and opportunistic human pathogen, increasingly recognized as a healthcare burden globally. The convergence of resistance and virulence in K. pneumoniae strains has led to the formation of hypervirulent and multidrug-resistant strains with dual risk, limiting treatment options. K. pneumoniae clones are known to emerge locally and spread globally. Therefore, an understanding of the dynamics and evolution of the emerging strains in hospitals is warranted to prevent future outbreaks. METHODS: In this study, we conducted an in-depth genomic analysis on a large-scale collection of 328 multidrug-resistant (MDR) K. pneumoniae strains recovered from 239 patients from a single major hospital in the western coastal city of Jeddah in Saudi Arabia from 2014 through 2022. We employed a broad range of phylogenetic and phylodynamic methods to understand the evolution of the predominant clones on epidemiological time scales, virulence and resistance determinants, and their dynamics. We also integrated the genomic data with detailed electronic health record (EHR) data for the patients to understand the clinical implications of the resistance and virulence of different strains. RESULTS: We discovered a diverse population underlying the infections, with most strains belonging to Clonal Complex 14 (CC14) exhibiting dominance. Specifically, we observed the emergence and continuous expansion of strains belonging to the dominant ST2096 in the CC14 clade across hospital wards in recent years. These strains acquired resistance mutations against colistin and extended spectrum ß-lactamase (ESBL) and carbapenemase genes, namely blaOXA-48 and blaOXA-232, located on three distinct plasmids, on epidemiological time scales. Strains of ST2096 exhibited a high virulence level with the presence of the siderophore aerobactin (iuc) locus situated on the same mosaic plasmid as the ESBL gene. Integration of ST2096 with EHR data confirmed the significant link between colonization by ST2096 and the diagnosis of sepsis and elevated in-hospital mortality (p-value < 0.05). CONCLUSIONS: Overall, these results demonstrate the clinical significance of ST2096 clones and illustrate the rapid evolution of an emerging hypervirulent and MDR K. pneumoniae in a clinical setting.

Risk factors, antifungal susceptibility, complications, and outcome of Candida auris bloodstream infection in a tertiary care center in the western region of Saudi Arabia.

BACKGROUND: Candida auris, an emerging multidrug-resistant fungus species that grows as yeast, causes bloodstream infection, and is associated with high mortality rates. In this study, we identified risk factors associated with C. auris bloodstream infection, antifungal susceptibility pattern, complications, and outcome of the infection. METHODS: This single-center cross-sectional retrospective study was conducted at King Abdulaziz Medical City, a tertiary care facility in Jeddah, Saudi Arabia, which included all patients 18 years or above who have had one or more blood cultures for C. auris between January 2021 and December 2022. We aimed to identify the risk factors associated with C. auris bloodstream infection, antifungal susceptibility patterns, complications, and outcomes at our center. RESULTS: Forty-six patients with C. auris-positive blood cultures were included. All the patients had healthcare-associated infections. The mean age was 64.67 years, and the majority of patients were male (73.9 %). The most common concomitant hospital-acquired infections were skin and soft tissue infections (37 %), followed by hospital-acquired pneumonia (34.8 %) and intra-abdominal infections (26.1 %). The mean total white blood cell count, procalcitonin, and C-reactive protein was 10.5 ± 5.99 × 109/L, 2.63 ± 4.82 µg/L, and 90.3 ± 64.1 mg/L, respectively. Hypertension (73.9 %) was the most common comorbidity, followed by diabetes mellitus (58.7 %) and renal dysfunction (54.3 %). Risk factors associated with C. auris candidemia included antibiotic use (91.3 %), especially for > 14 days (78.3 %), C. auris colonization (60.9 %), use of central venous catheters, especially when the catheter was in place for >30 days (80.4 %), ICU admission in the last 30 days before C. auris-positive blood culture (93.5 %), especially for more than two weeks (76.1 %), mechanical ventilation (89.1 %), total parenteral nutrition (13 %), previous intra-abdominal surgery (30.4 %), and immunosuppressive therapy (56.5 %). A total of 97.8 % of C. auris isolates were resistant to fluconazole and 17.4 % were resistant to amphotericin B. Endocarditis and endophthalmitis were reported in one (2.2 %) patient each. The all-cause mortality at 30 days was 47.8 %. CONCLUSION: Our study is one of the few studies available globally on C. auris bloodstream infection that investigated risk factors, antifungal susceptibility, complications, and outcomes. A thorough screening and risk assessment strategy should aid infection control, preventing it from becoming a major concern in the future.

Evidence-Based Interventions to Reduce the Incidence of Common Multidrug-Resistant Gram-Negative Bacteria in an Adult Intensive Care Unit.

Background Multidrug-resistant Gram-negative bacteria (MDR-GNB) present a significant and escalating hazard to healthcare globally. Context-specific interventions have been implemented for the prevention and control of MDR-GNB in several healthcare facilities. The objective of this study was to implement and evaluate the effectiveness of evidence-based interventions in the incidence and dissemination of MDR-GNB. Methods This was a pre-and post-intervention study conducted in three phases at King Abdulaziz Medical City Jeddah, Saudi Arabia. During Phase-1, the data on each of the four MDR-GNB (Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Escherichia coli) were collected prospectively. Genomic fingerprinting was performed on isolates using enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR) to determine clonality and establish a link between different strains within and between the hospital wards/units. In the second phase, targeted interventions were implemented in the adult intensive care unit (ICU) based on previously determined risk factors and included the education of healthcare workers on hand hygiene, disinfection of patients' surrounding, daily chlorhexidine baths, and disinfection rooms on discharge with hydrogen peroxide fogging after MDR-GNB patients were discharged. An antibiotic restriction protocol was simultaneously implemented as part of the hospital antibiotic stewardship program. In the third phase, the effectiveness of the interventions was evaluated by comparing the incidence rate and clonality (using ERIC-PCR genetic fingerprints) of MDR-GNB before and after the intervention. Results A significant reduction of MDR-GNB was observed in Phase-2 and Phase-3 compared with Phase-1. The mean incidence rate of MDR-GNB per 1000 patient days in Phase-1 (pre-intervention) was 11.08/1000, followed by 6.07 and 3.54/1000 in Phase-2 and Phase-3, respectively. A statistically significant reduction was observed in the incidence rate of MDR-GNB in the adult ICU (P=0.007), whereas no statistically significant decrease (P=0.419) was observed in areas other than the adult ICU. Two A. baumannii strains appear to be circulating within the ICU environment with reduced frequency in Phase-2 and Phase-3 compared to Phase-1. Conclusion  There was a significant reduction in the incidence of MDR-GNB in the adult ICU due to the successful implementation of both infection control and stewardship interventions, albeit challenging to ascertain the relative contribution of each.

Prevalence of Carbapenem-Resistant Enterobacteriaceae in Western Saudi Arabia and Increasing Trends in the Antimicrobial Resistance of Enterobacteriaceae.

PURPOSE:  The aim of the study is to estimate the prevalence rate of carbapenem-resistant Enterobacteriaceae (CRE) and to determine the types of carbapenemase genes present in patients admitted to King Abdulaziz Medical City (KAMC-J) and King Abdulaziz University Hospital (KAUH), both in Jeddah, Saudi Arabia. METHODS:  A total of 180 isolates were analyzed which were included on the basis of retrospective chart review of patients from KAMC-J and KAUH between 1st April 2017 to 30th March 2019. The prevalence of carbapenemase genes ( blaIMP, blaVIM, blaKPC, blaNDM-1, and blaOXA-48) was evaluated by Xpert® Carba-R (Cepheid, Sunnyvale, CA, USA). We assessed the CRE prevalence and described their susceptibility to antimicrobial agents based on antibiogram reports.  Results: Klebsiella pneumoniae showed a higher frequency of bla OXA-48 (79%) than bla NDM (11.7%) genes (p=0.007). The CRE prevalence in KAUH was 8% in 2017 and increased to 13% in 2018. In KAMC-J, the prevalence was 57% in 2018 and 61% in 2019. K. pneumoniae was found to be the most frequently isolated causative organism followed by Escherichia coli . The  bla OXA-48 (76.1%) gene was predominant among overall isolates followed by bla NDM (13.9%); both genes coexisted in 6.1% of the isolates. CONCLUSION:  During the study period, the prevalence of CRE considerably rose in the two tertiary care institutions from western Saudi Arabia. In the CRE isolates, bla OXA-48 was discovered to be the most common gene. We recommend an antimicrobial resistance surveillance system to detect the emergence of resistant genes through use of new rapid diagnostic tests and monitor antimicrobial use in order to improve clinical outcomes of CRE infections given the severity of infection associated with the CRE isolates as well as the limited treatment options available.

Factors Affecting Confirmed COVID-19 Patient's Recovery Time at King Abdulaziz Medical City, Jeddah.

INTRODUCTION: The COVID-19 pandemic has become a threat to the public's health, especially to the elderly and those with chronic conditions. It is capable of spreading from carriers who are both asymptomatic and symptomatic. Associated factors such as age, sex, severe symptoms of COVID-19 disease, and chronic disease have a significant impact on the recovery time of patients. AIM: The study aimed to determine associated factors on recovery time in COVID-19 patients hospitalized at King Abdulaziz Medical city. METHODS: A single-center retrospective study was utilized to recruit 1776 confirmed COVID-19 patients from 13 September to 24 October 2020 at King Abdulaziz Medical City (KAMC) in Jeddah. RESULTS: The patients were categorized into three age groups: below 5 years, 5 to 65 years, and above 65 years. The number of male patients in each group was 49, 764, and 73, and the number of female patients in each group was 54, 754, and 82, respectively. Impact recovery time on female patients was 11.75 days; with male patients was 10.95 days. Symptoms such as sore throat, diarrhea, and fever in female patients declined the recovery time. On the other hand, symptoms such as runny nose, diarrhea, fever, and headache in male patients declined the recovery time. DISCUSSION AND CONCLUSION: It was revealed that older aged COVID-19 patients, male sex, and some symptoms decline recovery time. The study findings show an independent predictor of particular symptoms and sign which delay the time of recovery in the COVID-19 patients enrolled in the study differently, for male and female patients. Thus, patients who are infected with COVID-19 should be monitored keenly to prevent a prolonged rate of recovery and should be eligible for priority management to enhance a good clinical outcome.

Mycobacterium avium Complex Pulmonary Infection in a Patient With an SLC11A1 Mutation: A Rare Case Report and Review of Literature.

Mycobacterial avium complex (MAC) is one of the non-tuberculous mycobacterium (NTM) that is known to cause pulmonary disease (PD). MAC PD is diagnosed by fulfilling all of the following: presence of respiratory symptoms, imaging studies compatible with pulmonary disease, and isolation of the mycobacterium from either sputum or bronchial wash in symptomatic patients (isolation of at least two sputum specimens or at least one bronchial wash specimen). A mutation in the solute carrier family 11, member 1 (SLC11A1) gene has been associated with Mycobacteria infections, including MAC. Herein, we present a case of a young female diagnosed with pulmonary MAC who was found later to have an SLC11A1 genetic mutation.

Epidemiological and molecular description of nosocomial outbreak of COVID-19 Alpha (B.1.1.7) variant in Saudi Arabia.

BACKGROUND: Nosocomial outbreaks frequently occurred during the Coronavirus disease 2019 (COVID-19) pandemic; however, sharing experiences on outbreak containment is vital to reduce the related burden in different locations. OBJECTIVES: This article aims at sharing a practical experience on COVID-19 outbreak containment, including contact tracing, screening of target population, testing including molecular analysis, and preventive modalities. It also provides an epidemiological and molecular analysis of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS­CoV­2) infection outbreak in a tertiary care hospital in Saudi Arabia. METHODS: The outbreak occurred in a non-COVID medical ward at a tertiary care hospital in Jeddah, Saudi Arabia, from 22nd March and 15th April 2021. The multidisciplinary outbreak response team performed clinical and epidemiological investigations. Whole-Genome Sequencing (WGS) was implemented on selected isolates for further molecular characterization. RESULTS: A total of eight nurses (20 % of the assigned ward nurses) and six patients (16.2 % of the ward admitted patients at the time of the outbreak) tested positive for the SARS-CoV-2 virus based on PCR testing. The outbreak investigation identified strong evidence of an epidemiologic link between the affected cases. WGS revealed a set of spike mutations and deletions specific to the Alpha variant (B.1.1.7 lineage). All the nurses had mild symptoms, and the fatality among the patients was 50 % (three out of the six patients). CONCLUSIONS: The current nosocomial COVID-19 outbreak, caused by the Alpha variant, revealed multiple breaches in the adherence to the hospital infection control recommended measures. Containment strategies were successful in controlling the outbreak and limiting infection spread. Molecular analysis and genome sequencing are essential tools besides epidemiological investigation to inform appropriate actions, especially with emerging pathogens.

Brevibacterium Luteolum bacteremia: A case report and literature review.

Brevibacterium species are to be opportunistic pathogens. Although rare, several case reports have mentioned infections ranging from cutaneous infections to bacteremia. Here, we present a case report describing a 64-year-old male pancreatic cancer patient diagnosed with B. luteolum bacteremia.

The prevalence, risk factors, and complications of Clostridium difficile infection in a tertiary care center, western region, Saudi Arabia.

BACKGROUND: Clostridium difficile is an anaerobic gram-positive spore-forming bacillus that is most commonly associated with nosocomial diarrhea. This study aimed to analyze the prevalence and risk factors of Clostridium difficile infection (CDI) at a tertiary health care center, Western region, Saudi Arabia. We also aimed to examine the duration of exposure to each risk factor prior CDI development, and to categorize CDI as severe and non-severe depending on the white blood cell (WBC) count. Various complications of the infection were also analyzed. METHODS: We performed a retrospective chart review of all patients who had a positive nucleic acid amplification test (NAAT) for Clostridium difficile toxin genes between October 2018 and October 2020. RESULTS: The prevalence of CDI among the included patients was 9.1% (237 of 2611 patients). The mean age (standard deviation) was 56.86 (21) years, and the infection was more prevalent among men (52.74%) than among women (47.26%). The most common risk factor associated with CDI was recent antibiotic use (74.68%), followed by recent acid suppressant use (67.50%), malignancy (46%), and previous gastrointestinal surgery (6.30%). The CDI recurrence rate was 13.90%. Piperacillin-tazobactam was the most frequently used broad-spectrum antibiotic, and was used in 38.8% of the patients, followed by meropenem. The most common malignancy type was lymphoma (22.94%, n = 25), followed by leukemia (n = 23). The most common type of surgery was subtotal colectomy (n = 6). Three patients underwent transverse colon resection, and two underwent ileocecal resection. Hypotension was the most frequently recorded complication (28.40%) in the study population. CONCLUSION: The prevalence rate of CDI among the study patients during the two-year study from October 2018 to October 2020 was 9.1%. Appropriate use of antibiotic and acid suppressants, and contact isolation measures can help in decreasing the number of CDI cases.

MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data.

Deep learning has massive potential in predicting phenotype from different omics profiles. However, deep neural networks are viewed as black boxes, providing predictions without explanation. Therefore, the requirements for these models to become interpretable are increasing, especially in the medical field. Here we propose a computational framework that takes the gene expression profile of any primary cancer sample and predicts whether patients' samples are primary (localized) or metastasized to the brain, bone, lung, or liver based on deep learning architecture. Specifically, we first constructed an AutoEncoder framework to learn the non-linear relationship between genes, and then DeepLIFT was applied to calculate genes' importance scores. Next, to mine the top essential genes that can distinguish the primary and metastasized tumors, we iteratively added ten top-ranked genes based upon their importance score to train a DNN model. Then we trained a final multi-class DNN that uses the output from the previous part as an input and predicts whether samples are primary or metastasized to the brain, bone, lung, or liver. The prediction performances ranged from AUC of 0.93-0.82. We further designed the model's workflow to provide a second functionality beyond metastasis site prediction, i.e., to identify the biological functions that the DL model uses to perform the prediction. To our knowledge, this is the first multi-class DNN model developed for the generic prediction of metastasis to various sites.

Antimicrobial therapy, resistance, and appropriateness in healthcare-associated and community-associated infections; a point prevalence survey.

BACKGROUND: Data examining differences in antimicrobial therapy and its appropriateness between healthcare-associated infections (HAIs) and community-associated infections (CAIs) are limited. The objective was to compare antimicrobial therapy, resistance, and appropriateness between CAIs and HAIs. METHODS: One-day point prevalence survey targeting admitted patients with active infections was conducted in six tertiary care hospitals. Antimicrobial appropriateness was decided based on hospital antimicrobial guidelines, clinical assessment, culture results, and other relevant investigations. RESULTS: Out of 1666 patient records reviewed, 240 (14.4%) infection events were identified. Prevalence of infections treated with antimicrobials were 6.5% for HAIs and 7.1% for CAIs. The most commonly prescribed antimicrobials were carbapenems (19.6%), cephalosporins (14.8%), and vancomycin (13.2%), with some differences between HAIs and CAIs. The overall contribution of MDR pathogens to both HAIs and CAIs was similar (34.0% versus 34.3%, p = 0.969). ESBL was significantly associated with CAIs while other gram-negative MDR pathogens significantly associated with HAIs. Overall appropriateness of antimicrobial therapy was similar in HAI and CAI events (64.2% versus 64.7%, p = 0.934). However, it was highest in aminoglycosides (78.6%) and lowest in vancomycin (40.8%). It was lowest in bloodstream infections than other infections (48.5% versus 61% to 78%, p = 0.044). CONCLUSION: Although the overall burden of MDR pathogens and appropriateness of antimicrobial therapy were similar in HAI and CAI events, there were some differences related to the type of MDR, type of antimicrobials, and type of infection. The current finding can guide training and educational activities of local antimicrobial stewardship initiatives aiming to improve antimicrobial therapy in hospital setting.

Assessing the Effectiveness of Antibiotic Therapy Against Common Gram-Negative Bacteria in a Saudi Arabian Hospital Using the Drug Resistance Index.

INTRODUCTION: Assessing the effectiveness of antibiotics and communicating the problem of resistance are essential when devising antimicrobial stewardship programs (ASPs) in hospital settings. The Drug Resistance Index (DRI) is a useful tool that combines antibiotic consumption and bacterial resistance into a single measure. In this study, we used the DRI to assess the impact of introducing a new antibiotic restriction form on antibiotic effectiveness for the treatment of Gram-negative infections in the intensive care unit (ICU). METHODS: This was an observational study to assess and evaluate the antibiotic susceptibility of Gram-negative bacteria and antibiotic prescribing rates for the antibiotics indicated for Gram-negative bacteria following the introduction of a new antibiotic restriction form. The study was conducted from 2015 to 2017 at King Abdulaziz Medical City, a tertiary care facility in Jeddah, Saudi Arabia. Changes in antibiotic effectiveness before and after the introduction of the form were evaluated by calculating the DRI for four of the most common Gram-negative pathogens and eight commonly used antibiotic classes. RESULTS: The overall DRI for the adult ICU was higher (59.45) in comparison to the hospital-wide DRI (47.96). A higher DRI was evident for carbapenems and antipseudomonal penicillins + beta-lactamase inhibitors. Acinetobacter baumannii had the highest DRI followed by Klebsiella pneumoniae in both the adult ICU and hospital-wide. After the implementation of antibiotic restriction in the adult ICU, the DRI for carbapenems was significantly lower in the post-intervention phase (from 31.61 to 26.05) (p = 0.031). CONCLUSION: The DRI is a useful tool for tracking the effectiveness of antibiotics over time. The results of our study are significant in the way that it highlights the importance of having an effective antibiotic stewardship program in healthcare settings and regular feedback of antibiotic consumption data to the stakeholders to keep the antibiotic prescriptions in check, thereby ensuring their sustained effectiveness.

Post-vaccination SARS-CoV-2 infection among healthcare workers in tertiary care hospitals in Saudi Arabia: A case series.

Healthcare workers have been categorized among the priority groups for COVID-19 vaccination. However, post-vaccination infections have been identified. This study was conducted to investigate SARS-CoV-2 infection among healthcare workers (HCWs) who received the COVID-19 vaccine. A case series in a multicenter healthcare system in Saudi Arabia was created from HCWs who had (PCR-RT) confirmed SARS-CoV-2 infection after at least one dose of Pfizer-BioNTech vaccination. A total of 20 healthcare workers (HCWs) have been included. The majority (70.0%) were males and the average age was 39.4 ± 10.1 years. They included physicians (55.0%), nurses (25.0%) and other HCWs (20.0%). Eighteen (90%) HCWs had infection after the first dose; 47.1% within the first week, 41.2% within the second week, and 11.8% within the third week. Only two HCWs (10.0%) had infection one week after the second dose. The majority (63.2%) had mild (52.6%) or moderate (10.3%) disease with no severe disease or hospitalization. The majority of post-vaccination COVID-19 infections among HCWs occurred before the full protection of the vaccine is gained. Suspicion of COVID-19 infection should be considered even with a history of COVID-19 vaccination. Recently vaccinated HCWs should be advised to fully comply with all recommended precautions to prevent COVID-19 transmission.

Machine learning and deep learning methods that use omics data for metastasis prediction.

Knowing metastasis is the primary cause of cancer-related deaths, incentivized research directed towards unraveling the complex cellular processes that drive the metastasis. Advancement in technology and specifically the advent of high-throughput sequencing provides knowledge of such processes. This knowledge led to the development of therapeutic and clinical applications, and is now being used to predict the onset of metastasis to improve diagnostics and disease therapies. In this regard, predicting metastasis onset has also been explored using artificial intelligence approaches that are machine learning, and more recently, deep learning-based. This review summarizes the different machine learning and deep learning-based metastasis prediction methods developed to date. We also detail the different types of molecular data used to build the models and the critical signatures derived from the different methods. We further highlight the challenges associated with using machine learning and deep learning methods, and provide suggestions to improve the predictive performance of such methods.

Clinical characteristics and outcomes of community-acquired pneumonia in western Saudi Arabia: A four-year retrospective analysis of medical records.

BACKGROUND: Community-acquired pneumonia (CAP) is a significant cause of morbidity and mortality, especially for the elderly and people who suffer from chronic conditions. This study was conducted to assess the clinical and microbiological characteristics and disease outcomes associated with the occurrence of CAP. METHODS: This retrospective chart review was conducted at King Abdulaziz Medical City, Jeddah, Saudi Arabia. Cases with documented clinical diagnosis of CAP during the period from 2016 to 2019 were included. Data were collected on demographic, clinical, and microbiological characteristics, used antimicrobials and patients' outcomes, including length of hospital stay, intensive care unit admission, and mortality. Multivariate regression analysis was performed to identify risk factors for increased length of hospital stay. RESULTS: A total of two hundred and eighteen CAP episodes were identified. Patients had a median age of 64.5 years, and 54.1% were males. Microbiological diagnosis was established in 33 patients (15.1%). Admission to ICU and diagnosis of a neurological disease were significantly associated with longer hospital stay (>7 days). An average of 2.7 antimicrobials were used per patient, and the most common antibiotics used were Piperacillin/Tazobactam (46.3%), Doxycycline (44%), then Ceftriaxone (42.7%). Four patients (1.8%) died during hospital stay. CONCLUSIONS: This retrospective analysis of CAP cases identified a lack of microbiological diagnosis and increased burden associated with disease severity and the need for hospitalization. The ability to identify CAP at an earlier stage will be a cornerstone to mitigate its impact on the healthcare system and ICU units.

Molecular Detection of Influenza A and B Viruses in Four Consecutive Influenza Seasons 2015-16 to 2018-19 in a Tertiary Center in Western Saudi Arabia.

INTRODUCTION: Influenza infection poses a significant public health threat. The core for disease prevention and control relies on strengthened surveillance activities, particularly in Saudi Arabia, the country that hosts the largest annual mass gathering event worldwide. This study aimed to assess the molecular and seasonal pattern of influenza virus subtypes in western Saudi Arabia to inform policy decisions on influenza vaccine. METHODS: This cross-sectional study was conducted at King Abdulaziz Medical City, western Saudi Arabia. Medical records and surveillance database of laboratory-confirmed influenza cases were reviewed from October 2015 to 2019. A panel of real-time polymerase chain reactions was performed to detect influenza A and B. Extracted RNA from a subset of positive samples was used to determine influenza A subtypes and influenza B lineages. RESULTS: This study included a total of 1928 patients with laboratory-confirmed influenza infections. Influenza peaks were observed in October each season, with variant predominant strains. Influenza virus subtypes co-circulate with no reports of co-infection. Influenza A(H3N2) was reported in 42% of the cases, then influenza B (30.7%) and influenza A(H1N1)pdm09 (27.3%). Healthcare workers represented 9.4% of the cases. One-third of the cases (30.4%) were admitted to the hospital with a median admission duration of 4 days. The influenza B viruses were subtyped in 218 cases. Victoria lineage was predominant (64.1%) in 2015 and 2016; however, Yamagata was predominant in the next two consecutive seasons (94.4% and 85.4%, respectively). CONCLUSION: The burden due to influenza B may be underestimated with an observed vaccine mismatch. A quadrivalent influenza vaccine is recommended to reduce the health impact associated with influenza B infections. Molecular surveillance of the influenza viruses should be enhanced continuously for a better understanding of the influenza activity and assessment of vaccine effectiveness.

The prevalence of comorbidities among adult people diagnosed with HIV infection in a tertiary care hospital in western Saudi Arabia.

BACKGROUND: The life expectancy of people living with HIV is markedly increasing with the introduction of effective antiretroviral medications. However, these patients face an increased risk of developing multi-morbidities-especially with advanced age. This study was conducted to assess the prevalence of and risk factors associated with the occurrence of chronic comorbidities among patients diagnosed with HIV infection. METHODS: A retrospective chart review was conducted on the medical records of patients with HIV diagnoses from 2000 to 2018. Data were collected on age, sex, date of diagnosis, associated co-morbidities, antiretroviral medications (ART) and status at time of data collection (alive or deceased). Only adult patients 18 years or above were studied. RESULTS: A total of 130 confirmed HIV cases were included. Patient ages ranged from 23 to 86 years old (mean±SD 50.1±12.6). Almost half of the patients (48.5%) had at least one associated comorbidity. The most common chronic comorbidity was diabetes mellitus (15.4%), followed by dyslipidemia (10.8%), hypertension (10.8%) and lymphoma (10.0%). Comorbidity proportions increased with advanced patient age (p=0.047). Three or more comorbidities were reported in 40.7% of patients aged 60 years old or above. Using logistic regression analysis, only patients aged 50 years old or above were more likely to have at least one comorbidity (OR=7.59, 95%CI=2.25, 25.61). CONCLUSIONS: The burden of chronic comorbidities among people diagnosed with HIV is high, especially among older age individuals, with an increasing number of comorbidities per patient. Proper counseling for HIV patients is highly recommended-not only for prevention of other infectious diseases (e.g., vaccination) but also for lifestyle modification and self-management for those with chronic conditions.

High Burden of Resistant Gram Negative Pathogens Causing Device-associated Healthcare Infections in a Tertiary Care Setting in Saudi Arabia, 2008-2016.

OBJECTIVES: There is local and regional deficiency in the data examining the contribution of resistant pathogens to device-associated healthcare-associated infections (DA-HAIs). The objective was to examine such data in a multi-hospital system in Saudi Arabia in comparison with the US National Health Surveillance Network (NHSN). METHODS: Surveillance of DA-HAIs was prospectively conducted between 2008 and 2016 in four hospitals of Ministry of National Guard Health Affairs. Consecutive NHSN reports were used for comparisons. Definitions and methodology of DA-HAIs and bacterial resistance were based on NHSN. RESULTS: A total 1260 pathogens causing 1141 DA-HAI events were included. Gram negative pathogens (GNPs) were responsible for 62.5% of DA-HAIs, with a significantly higher Klebsiella, Pseudomonas, Acinetobacter, and Enterobacter than NHSN hospitals. Approximately 28.3% of GNPs and 23.5% of gram positive pathogens (GPPs) had some type of resistance. Nearly 34.3% of Klebsiella were resistant to third/fourth generation cephalosporins, 4.8% of Enterobacteriaceae were carbapenem-resistant (CRE), 24.4% of Staphylococcus aureus were methicillin-resistant (MRSA), and 21.9% of Enterococci were vancomycin-resistant (VRE). Multidrug resistance (MDR) was 65.0% in Acinetobacter, 26.4% in Escherichia coli, 23.0% in Klebsiella, and 14.9% in Pseudomonas. Resistant GNPs including cephalosporin-resistant Klebsiella, MDR Klebsiella, and MDR Escherichia coli were significantly more frequent while resistant GPPs including MRSA and VRE were significantly less frequent than NHSN hospitals. CONCLUSION: The current findings showed heavier and more resistant contribution of GNPs to DA-HAIs in Saudi hospitals compared with American hospitals. The higher resistance rates in Klebsiella and Escherichia coli are alarming and call for effective antimicrobial stewardship programs.