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Background: Amidst the persistent global health threat posed by the evolving SARS-CoV-2 virus throughout the four-year-long COVID-19 pandemic, the focus has now turned to the Omicron variant and its subvariant, JN.1, which has rapidly disseminated worldwide. This study reports on the characteristics and clinical manifestations of patients during the surge of the JN.1 variant in Saudi Arabia; it also investigates the evolution of SARS-CoV-2 variants in organ transplant patients and identifies patient risk factors., Methods: A total of 151 nasopharyngeal samples from patients with PCR-confirmed SARS-CoV-2 infection were collected between September 2023 and January 2024. Demographic and clinical data of the patients were obtained from electronic health records. All confirmed positive samples underwent sequencing using Ion GeneStudio and the Ion AmpliSeq™ SARS-CoV-2 panel., Results: During the surge of the JN.1 variant, the average age of the patients was 40 years, ranging from 3 to 93 years, and nearly 50% of the patients were male. Our investigation revealed that the J.N variant predominantly infected patients with comorbidities or organ transplant recipients (57.6%). Moreover, patients with comorbidities or organ transplants exhibited a higher number of mutations. In our organ transplant cohort, an increased total number of spike mutations was associated with a lower risk of developing severe disease (OR = 0.96, 95% CI: 0.93-0.98)., Conclusions: Although JN.1 may not prove to be particularly harmful, it is crucial to recognize the persistent emergence of concerning variants, which create new pathways for the virus to evolve. The ongoing evolution of SARS-CoV-2 is evident in the continuous divergence of these variants from the original strain that marked the onset of the pandemic nearly four years ago., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Stenotrophomonas maltophilia is a nonfermenting gram-negative bacterium associated with multiple nosocomial outbreaks. Antibiotic resistance increases healthcare costs, disease severity, and mortality. Multidrug-resistant infections (such as S. maltophilia infection) are difficult to treat with conventional antimicrobials. This study aimed to investigate the isolation rates, and resistance trends of S. maltophilia infections over the past 19 years, and provide future projections until 2030. In total, 4466 patients with S. maltophilia infection were identified. The adult and main surgical intensive care unit (ICU) had the highest numbers of patients (32.2%), followed by the cardiology department (29.8%), and the paediatric ICU (10%). The prevalence of S. maltophilia isolation increased from 7% [95% confidence interval (CI) 6.3-7.7%] in 2004-2007 to 15% [95% CI 10.7-19.9%] in 2020-2022. Most S. maltophilia isolates were resistant to ceftazidime (72.5%), levofloxacin (56%), and trimethoprim-sulfamethoxazole (14.05%), according to our study. A consistent and significant difference was found between S. maltophilia-positive ICU patients and non-ICU patients (P = 0.0017) during the three-year pandemic of COVID-19 (2019-2021). The prevalence of S. maltophilia isolates is expected to reach 15.08% [95% CI 12.58-17.59%] by 2030. Swift global action is needed to address this growing issue; healthcare authorities must set priorities and monitor infection escalations and treatment shortages., (© 2024. The Author(s).)

The genome of severe acute respiratory coronavirus-2 (SARS-CoV-2), the virus responsible for coronavirus disease 2019 (COVID-19), has undergone a rapid evolution, resulting in the emergence of multiple SARS-CoV-2 variants with amino acid changes. This study aimed to sequence the whole genome of SARS-CoV-2 and detect the variants present in specimens from Saudi Arabia. Furthermore, we sought to analyze and characterize the amino acid changes in the various proteins of the identified SARS-CoV-2 variants. A total of 1161 samples from patients diagnosed with COVID-19 in Saudi Arabia, between 1 April 2021 and 31 July 2023, were analyzed. Whole genome sequencing was employed for variant identification and mutation analysis. The statistical analysis was performed using the Statistical Analytical Software SAS, version 9.4, and GraphPad, version 9.0. This study identified twenty-three variants and subvariants of SARS-CoV-2 within the population, with the Omicron BA.1 (21K) variant (37.0%) and the Delta (21J) variant (12%) being the most frequently detected. Notably, the Omicron subvariants exhibited a higher mean mutation rate. Amino acid mutations were observed in twelve proteins. Among these, the spike (S), ORF1a, nucleocapsid (N), and ORF1b proteins showed a higher frequency of amino acid mutations compared to other the viral proteins. The S protein exhibited the highest incidence of amino acid mutations (47.6%). Conversely, the ORF3a, ORF8, ORF7a, ORF6, and ORF7b proteins appeared more conserved, demonstrating the lowest percentage and frequency of amino acid mutations. The investigation of structural protein regions revealed the N-terminal S1 subunit of the S protein to frequently harbor mutations, while the N-terminal domain of the envelope (E) protein displayed the lowest mutation frequency. This study provides insights into the variants and genetic diversity of SARS-CoV-2, underscoring the need for further research to comprehend its genome evolution and the occurrence of mutations. These findings are pertinent to the development of testing approaches, therapeutics, and vaccine strategies.

SARS-CoV-2 genomic mutations outside the spike protein that may increase transmissibility and disease severity have not been well characterized. This study identified mutations in the nucleocapsid protein and their possible association with patient characteristics. We analyzed 695 samples from patients with confirmed COVID-19 in Saudi Arabia between 1 April 2021, and 30 April 2022. Nucleocapsid protein mutations were identified through whole genome sequencing. 𝜒 2 tests and t tests assessed associations between mutations and patient characteristics. Logistic regression estimated the risk of intensive care unit (ICU) admission or death. Of the 60 mutations identified, R203K was the most common, followed by G204R, P13L, E31del, R32del, and S33del. These mutations were associated with reduced risk of ICU admission. P13L, E31del, R32del, and S33del were also associated with reduced risk of death. By contrast, D63G, R203M, and D377Y were associated with increased risk of ICU admission. Most mutations were detected in the SR-rich region, which was associated with low risk of death. The C-tail and central linker regions were associated with increased risk of ICU admission, whereas the N-arm region was associated with reduced ICU admission risk. Consequently, mutations in the N protein must be observed, as they may exacerbate viral infection and disease severity. Additional research is needed to validate the mutations' associations with clinical outcomes.

The global demand for rapid identification of circulating SARS-CoV-2 variants of concern has led to a shortage of commercial kits. Therefore, this study aimed to develop and validate a rapid, cost-efficient genome sequencing protocol to identify circulating SARS-CoV-2 (variants of concern). Sets of primers flanking the SARS-CoV-2 spike gene were designed, verified and then validated using 282 nasopharyngeal positive samples for SARS-CoV-2. Protocol specificity was confirmed by comparing these results with SARS-CoV-2 whole-genome sequencing of the same samples. Out of 282 samples, 123 contained the alpha variant, 78 beta and 13 delta, which were indicted using in-house primers and next-generation sequencing; the numbers of variants found were 100% identical to the reference genome. This protocol is easily adaptable for detection of emerging variants during the pandemic.

This study provides epidemiologic and clinical characteristics of 492 consecutive patients diagnosed with SARS-CoV-2 infection at King Faisal Specialist Hospital and Research Centre in Saudi Arabia between March and September 2020. Data were collected from electronic case reports. The cohort was 54% male, with 20.4% aged >60 years, 19.9% aged 31−40 years, and 17% aged 41−50 years. The median incubation period was 16 days, with upper and lower 95% quartiles of 27 and 10 days, respectively. Most patients (79.2%) were symptomatic. Variables significantly different between symptomatic and asymptomatic patients were age, blood oxygen saturation percentage, hemoglobin level, lymphocyte count, neutrophil to lymphocyte (NTL) ratio, and alanine aminotransferase (ALT) and aspartate aminotransferase (AST) level. Asymptomatic patients were mostly younger, with lower body mass index and ALT and AST levels but higher lymphocyte counts, NTL ratio, and CD4, CD8, natural killer cell, IgG, and IgM levels. Factors associated with increased risk of mortality were age (>42 years) and comorbidities, particularly diabetes mellitus and hypertension. Patients who were not given an antiviral regimen were associated with better prognosis than patients who received an antiviral regimen (HR, 0.07; 95% CI, 0.011−0.25). These findings will help clinicians and policymakers adopt best management and treatment options for SARS-CoV-2 infection.

Background: The SARS-CoV-2 pandemic has led to a strain on medical resources. The development of countermeasures to prevent its spread is evolving. Healthcare workers (HCWs) are at high risk for contracting and transmitting the disease., Methods: Serology testing of volunteer HCWs was performed at King Faisal Specialist Hospital and Research Center in Riyadh (the Center) in order to determine the prevalence of SARS-CoV-2 antibodies, as well as the associated risk factors, in the hope of implementing adequate prevention and control measures., Results: 1076 subjects participated in this study, of whom 24.3% were seropositive. The majority were nurses (379, 35%) or physicians (245, 22.2%). 392 (36.4%) of the 1076 subjects were caregivers for COVID-19 patients, and 463 (43.0%) reported contact with infected employees. There was a statistically significant association between taking care of COVID-19 patients and being diagnosed with COVID-19 (chi-square test, p  = 0.046). There was a significant association between being in contact with infected employees and having a positive IgG result (chi-square test, p < 0.001)., Conclusions: A baseline analysis of SARS-CoV-2 seropositivity in HCWs at a large tertiary care hospital in Riyadh was performed as the first part of a prospective study of HCWs. The reported seropositivity was 24.3% - higher than that of other hospitals in Riyadh. IgG testing was very useful in the detection of previous SARS-CoV-2 infection, as it has high negative predictive value., (© 2021 The Author(s).)

Introduction: In December 2019, a new severe acute respiratory syndrome coronavirus, SARS-CoV-2, emerged in China, causing coronavirus disease 2019. The present study investigated genetic profiles and variations of SARS-CoV-2 distributed in different regions of Saudi Arabia to begin to understand the pathogenesis and transmission of SARS-CoV-2 in this country and analyzed associations of these variations with host factors., Methodology: In total, 774 SARS-CoV-2 genomic sequences obtained and annotated by the Global Initiative on Sharing All Influenza Data (GISAID) were captured and analyzed., Results: The most common SARS-CoV-2 clades in Saudi Arabia were GH followed by O, GR, G, and S. Statistically significant associations were detected between clades and patient outcome. Age, as a host factor, was significantly associated with many variables, including virus geographical location, clade, and patient outcome. The most common variants detected were the NSP12&#95;P323L mutation 94.9%, followed by the D614G mutation (76%) and the NS3&#95;Q57H mutation (71.4%). The concerned variants B.1.1.7, B.1.351, and P.1 were not detected in our population. D614G was associated with higher morbidities than the wild-type virus, including higher rates of death and hospitalization. The NS3&#95;Q57H mutation was the only variant associated with better patient outcome than the wild type. Risk of death was highest with the NSP12&#95;P323L mutation (OR = 1.84; 95% CI = 0.37-9.30) and lowest with the NS3&#95;Q57H mutation (OR = 0.43; 95% CI = 0.25-0.727)., Conclusions: SARS-CoV-2 has evolved uniquely and independently in Saudi Arabia. Our findings provide evidence to begin linking the evolutionary implications to host factors and their effects on the virus severity and transmission., Competing Interests: No Conflict of Interest is declared, (Copyright (c) 2021 Dalia Abdullah Obeid, Madain Saleh Alsanea, Rawan Talal Alnemari, Ahmed Ali Al-Qahtani, Sahar Isa Althawadi, Maysoon Saleh Mutabagani, Reem Saad Almaghrabi, Faten Mohammed Alhadheq, Basma Mohammed Alahideb, Fatimah Saeed Alhamlan.)

Background: Antimicrobial resistance (AMR) of non-fermenting Gram-negative bacteria (NFGNB) is increasingly recognized as urgent healthcare threat. Trend data on AMR of NFGNB in Saudi Arabia are either old or limited. The objective was to estimate the prevalence and resistance trends of isolated NFGNB in Saudi Arabia., Methods: A retrospective multicenter study involving seven tertiary care hospitals in Saudi Arabia was conducted between 2011 and 2016. Susceptibility testing for non-duplicate isolates was performed according to the Clinical and Laboratory Standards Institute (CLSI) guidelines in College of American Pathologists accredited diagnostic microbiology laboratories in the participating hospitals., Results: Out of 461,274 isolates, 100,132 (21.7%) were NFGNB which represented 30% of gram-negative pathogens. Pseudomonas aeruginosa was the most common (73.6%), followed by Acinetobacter baumannii (21.0%) and Stenotrophomonas maltophilia (5.3%). Resistance trends of P. aeruginosa were increasing for aztreonam (absolute increase during the study was 17.3%), imipenem (12.3%), and meropenem (11.6%). A. baumannii was fully resistant to several beta lactam drugs, and resistance trends were increasing for potential treatments such as tigecycline (25.1%) and tobramycin (15.5%). S. maltophilia was >90% resistant to trimethoprim/ sulfamethoxazole and ciprofloxacin by the end of the study., Conclusion: We are reporting high and/or increasing resistance of NFGNB to common treatment options. The current findings call for urgent actions to combat the increasing resistance of NFGNB. Large scale sharing of AMR data collected at different hospitals with the Saudi AMR committee would be critical to set priorities and monitor progress., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: One major challenge for detecting the virus that causes COVID-19 is commercial SARS-CoV-2 testing kit or reagent availability. To allow every laboratory or hospital access to an in-house assay, we developed a low-cost SARS-CoV-2 detection assay protocol using in-house primers and reagents/equipment on hand in most biology or diagnostic laboratories: a SYBR Green-based RT-PCR. RNA extraction has also become a major bottleneck due to limited supplies and the required labor. Thus, we validated an alternative RNA extraction protocol., Methods: We designed and synthesized in-house primers according to SARS-CoV-2 genome sequences retrieved from GISAID database. One hundred and ninety patient samples were collected by nasopharyngeal swab, coded, and used to develop and validate the assay protocol. RNA extraction was performed using TRI reagent-based RNA protocol to inactivate the virus; thus, testing was conducted in a conventional biosafety level 2 laboratory., Results: The sensitivity and specificity of the primers were evaluated using 190 patient samples previously tested for SARS-CoV-2. The positive amplicons were sequenced to confirm the results. The assay protocol was developed, and the specificity of each RT-PCR product was confirmed using melting curve analyses. Of 190 samples, the SYBR Green-based RT-PCR assay detected SARS-CoV-2 target genes in 88 samples, with no false-positive results. These findings indicate that the sensitivity of our assay was 97.7% and specificity of 100% with those of the diagnostic laboratory that tested the same samples using a Rotor-Gene PCR cycler with an Altona Diagnostics SARS-CoV-2 kit (R 2 = 0.89)., Conclusions: These approaches are reliable, repeatable, specific, sensitive, simple, and low-cost tools for the detection of SARS-CoV-2 in a conventional biosafety level 2 laboratory, offering alternative approaches when commercial kits are unavailable or not affordable., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: Immunocompromised patients with coronavirus disease 2019 (COVID-19) have prolonged infectious viral shedding for more than 20 days. A test-based approach is suggested for de-isolation of these patients., Methods: The strategy was evaluated by comparing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load (cycle threshold (Ct) values) and viral culture at the time of hospital discharge in a series of 13 COVID-19 patients: six immunocompetent and seven immunocompromised (five solid organ transplant patients, one lymphoma patient, and one hepatocellular carcinoma patient)., Results: Three of the 13 (23%) patients had positive viral cultures: one patient with lymphoma (on day 16) and two immunocompetent patients (on day 7 and day 11). Eighty percent of the patients had negative viral cultures and had a mean Ct value of 20.5. None of the solid organ transplant recipients had positive viral cultures., Conclusions: The mean Ct value for negative viral cultures was 20.5 in this case series of immunocompromised patients. Unlike those with hematological malignancies, none of the solid organ transplant patients had positive viral cultures. Adopting the test-based approach for all immunocompromised patients may lead to prolonged quarantine. Large-scale studies in disease-specific populations are needed to determine whether a test-based approach versus a symptom-based approach or a combination is applicable for the de-isolation of various immunocompromised patients., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Demand for clinical laboratory services in our insti.tution has increased by 7% each year in the past 5 years, while the amount budgeted for services has remained fixed. To address the issue, we conducted a pilot study to curb inappropriate demand by implementing a minimum retest interval (time-based restrictions on the ordering certain tests) and thus reduce costs., Objective: Explore the impact (financial and work volume) of restricting overuse of laboratory tests that add to costs but provide no additional clinical value., Design: Pilot study of means to reduce costs and workload., Setting: Clinical laboratory that provides diagnostic support to a tertiary care center specializing in transplantation and oncology., Methods: With the engagement of clinical colleagues, we selected 13 tests characterized by high volume, high cost, or a perception of overuse that adds no clinical value. The selection was also based on established lock-out frequencies identified in a literature review. Data was captured on test numbers before and after initiating computer-based lock-outs along with the reference laboratory cost of these tests for the first 6 months of 2016 and 2017., Main Outcome Measures: Alterations in testing patterns (mimimum retest intervals) and frequencies for tests., Results: The number of tests ordered during the 6-month period in 2017 were reduced by an average of 6.6% versus the same period for 2016, saving 2.03 million Saudi Arabian Riyals (SAR). Given a 7% annual growth in the preceding 5 years, the volume was reduced by 13% in real terms. The percentage reduction in number of tests ranged from as little as 0.2% for PT to 70.3% for an enzyme immunoassay. Savings were 1.4 million SAR in hematology and 0.36 million SAR in microbiology over the 6-month period., Conclusion: Minimum retest intervals using computer-based rules are effective in supporting strategies to manage demand., Limitations: This approach may not be applicable to all laboratory tests; however, the success of this pilot study would encourage more widespread use of this approach., Conflict of Interest: None.

Clostridium haemolyticum is the causal agent of bacillary hemoglobinuria in cattle, goat, sheep, and ruminants. In this study, we report the first recorded human-infecting C. haemolyticum strain collected from an 18-year-old woman diagnosed with acute lymphoblastic leukemia. After failure of traditional techniques, only next-generation sequencing (NGS) technology in combination with bioinformatics, phylogenetic, and pathogenomics analyses revealed that our King Faisal Specialist Hospital and Research Center (KFSHRC) bacterial isolate belongs to C. haemolyticum species. KFSHRC isolate is composed of 1 chromosome and 4 plasmids. The total genome size is estimated to be 2.7 Mbp with a low GC content of 28.02%. Comparative pathogenomics analysis showed that C. haemolyticum KFSHRC isolate is a potential virulent pathogenic bacterium as it possesses the virulence factors necessary to establish an infection, acquire essential nutrients, resist antimicrobial agents, and tolerate hostile conditions both in the human host and in its surrounding environment. These factors are included in the main chromosome in addition to novel recombination of the plasmids, and they could be the reason for the incidence of that human infection. This work demonstrated the importance of using NGS in medical microbiology for pathogen identification. It also demonstrates the importance of sequencing more microbial samples and sharing this information in public databases to facilitate the identification of pathogenic microbes with better accuracy., Competing Interests: DECLARATION OF CONFLICTING INTERESTS: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Introduction: In early 2009, a novel influenza A (H1N1) virus appeared in Mexico and rapidly disseminated worldwide. Little is known about the phylogeny and evolutionary dynamics of the H1N1 strain found in Saudi Arabia., Methodology: Nucleotide sequencing and bioinformatics analyses were used to study molecular variation between the virus isolates., Results: In this report, 72 hemagglutinin (HA) and 45 neuraminidase (NA) H1N1 virus gene sequences, isolated in 2009 from various regions of Saudi Arabia, were analyzed. Genetic characterization indicated that viruses from two different clades, 6 and 7, were circulating in the region, with clade 7, the most widely circulating H1N1 clade globally in 2009, being predominant. Sequence analysis of the HA and NA genes revealed a high degree of sequence identity with the corresponding genes from viruses circulating in the South East Asia region and with the A/California/7/2009 strain. New mutations in the HA gene of pandemic H1N1 (pH1N1) viruses, that could alter viral fitness, were identified. Relaxed-clock and Bayesian Skyline Plot analyses, based on the isolates used in this study and closely related globally representative strains, indicated marginally higher substitution rates than the type strain (5.14×10-3 and 4.18×10-3 substitutions/nucleotide/year in the HA and NA genes, respectively)., Conclusions: The Saudi isolates were antigenically homogeneous and closely related to the prototype vaccine strain A/California/7/2009. The antigenic site of the HA gene had acquired novel mutations in some isolates, making continued monitoring of these viruses vital for the identification of potentially highly virulent and drug resistant variants.

In this report we present a case of a young lady with abdominal abscesses and septicemia caused by Mycobacterium chelonae complex. Identification of the organism and initiation of the appropriate antimicrobial therapy was delayed, resulting in significant morbidity and multiple hospital admissions. Gram staining of these organisms from blood culture can be easily overlooked or confused with either debris or diptheroids. We concluded that detection of Gram-positive rod colonies should prompt an acid-fast stain to distinguish diphtheroids from rapidly growing mycobacteria in immunosuppressed patients.