Prevalence and risk factors associated with drug resistant bacteria in neonatal and pediatric intensive care units: A retrospective study in Saudi Arabia.

Successful empirical antibiotic therapy for infected patients with multi drug resistant bacteria (MDR) can be challenging task in various healthcare settings, including neonatal and pediatric intensive care units (NICU and PICU, respectively), unless an up-to-date comprehensive local antibiogram data is available. Thus, this project aimed to investigate the prevalence of MDR among PICU and NICU patients as well as the identification of risk factors associated with recovered MDR bacteria. This was a retrospective study of PICU and NICU patients admitted with bacterial infection of MDR organisms between October 2020 and May 2021. Frequency distribution, Chi-square test were applied to verify the significance differences among subgroups and to identify risk factor associated with each group. About 36.4% of recruited patients were neonates, while the remaining percentage (63.6%) were pediatric. The most predominant site of infection among these patients were revealed as urinary tract (35%), followed by bloodstream (20.0%), wound/skin (12.9%) and respiratory system (11.4%). Methicillin-resistant Staphylococcus aureus (MRSA) was identified as the most common microbe across these sites of infections (30.7%), followed by Escherichia coli (25.0%), Klebsiella pneumoniae (22.9%) and Serratia (10.0%). High mortality rate was significantly associated with patients who were on mechanical ventilators (28.9%, OR 5.5; 95% CI), followed by patients had invasive operation (27.5%, OR, 8.04; 95% CI) and those who required a total parental nutrition (TPN) since almost one-half of these cases have (46.2%) died. In addition, mortality rate was relatively higher among patients infected with species of Serratia (28.6%) and Enterobacter (20.0%). These data highlighted that MRSA was the main MDR bacteria isolated from PICU and NICU followed by gram-negative bacteria, which were associated with high mortality rate. Therefore, infection control measures and continuous monitoring of emerging MDR bacteria should be applied to limit the bacterial infections in NICU and PICU patients.

Comparison of Hematological Parameters Between Survivors and Non-Survivors COVID-19 Patients in Saudi Arabia.

Objective: Coronavirus disease 2019, caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a communicable disease transmitted through the respiratory route and bodily contact. The severity of infection and mortality rate of COVID-19 cases was significantly high in the initial stages of the pandemic. This study aims to investigate the hematological profile of COVID-19 survivors and non-survivors. Methods: This is a single-center retrospective study. A total of 108 hospitalized patients with laboratory-confirmed COVID-19 at East Jeddah Hospital between April and August 2020 were categorized into two groups based on outcome as survivors (n = 54) and non-survivors (n = 54). Hematological parameters and clinical profiles were analyzed and compared between the two groups. Results: The mean age and standard deviation of the survived (30-71 years) and non-survived (33-83) groups was 53 ± 10.8 and 57.9 ± 12.2 years, respectively, with no statistically significant difference in age between groups (p = 0.0513). Non-survivors had a significantly longer median length of stay in the intensive care unit (ICU) (7 days, IQR: 4.24 to 12) compared to survivors COVID-19 patients (5 days, IQR: 0 to 11.75) (p = 0.0151). For the survivors group, the participant's age positively correlated with the length of hospital stay (r(52) = 0.21, p = 0.0005) and ICU length of stay r(52) = 0.18, p = 0.001). The median red blood cells (RBC) counts were significantly higher in the survived group (4.56x109/L, IQR: 4.02 to 5.11) in comparison with the non-survived (4.23x109/L, IQR: 3.75 to 4.23) group (p = 0.0011). All COVID-19 patients exhibited lymphocytopenia and a significant negative correlation was observed between the lymphocyte values and length of hospital stay among the survived group (p < 0.001) as well as length of ICU stay among the survived group (p < 0.0480). Disease-related mortality was significantly associated with reduced white blood cells (WBCs) (8.5×109/L, IQR: 6.1 to 11.7) and reduced basophils (0.09%, IQR: 0.02 to 0.19). Additionally, statistically significant differences were found between the survived and non-survived groups with respect to prothrombin time (PT) (12.5 sec. vs 14 sec., p < 0.0001) and partial thromboplastin time (PTT) (31.8 sec. vs 40 sec., p = 0.0008). Conclusion: Hematological parameters can serve as valuable indicators to identify patients with severe COVID-19 and expected poor-prognosis/outcomes upon hospital admission. Cell counts of lymphocytes, WBCs, basophils and parameters such as PT and PTT can serve as clinical indicators to assess disease severity and predict progression to critical illness.

Predicting Intensive Care Unit Admission for COVID-19 Patients from Laboratory Results.

Trends in routine laboratory tests, such as high white blood cell and low platelet counts, correlate with COVID-19-related intensive care unit (ICU) admissions. Other related biomarkers include elevated troponin, alanine aminotransferase, and aspartate transaminase levels (liver function tests). To this end, the aim of this study was to investigate the effect of changes in laboratory test parameters on ward-based and ICU COVID-19 patients. A total of 280 COVID-19 patients were included in the study and were divided based on admission status into ICU (37) or ward (243) patients. ICU admission correlated significantly with higher levels of several tested parameters, including lactate dehydrogenase, creatinine, D-dimer, creatine kinase, white blood cell count, and neutrophil count. In conclusion, routine laboratory tests offer an indication of which COVID-19 patients are most likely to be admitted to the ICU. These associations can assist healthcare providers in addressing the needs of patients who are at risk of COVID-19 complications.

Laboratory Biomarkers Associated with Severity and Mortality of COVID-19.

BACKGROUND: Corona Virus Disease 2019 (COVID-19) emerged late 2019 and has become a global pandemic. There is an urgent need for identification of biomarkers to predict severity of the disease for early treatment and to avoid mortality especially in high-risk population. Therefore, the aim of this study is to investigate laboratory results in COVID-19 patients in Saudi Arabia to identify potential biomarkers correlated with disease severity. METHODS: Clinical records of 200 patients diagnosed with COVID-19 from July to August 2020 at Jeddah East Hospital were retrospectively analyzed. Laboratory tests including coagulation parameters, D-dimer, kidney, cardiac, and liver enzymes were statistically investigated in patients admitted to wards and intensive care units (ICU). RESULTS: The majority of patients admitted to ward (156/200) were young (mean 47 years old) compared to those admitted to ICU (mean 60 years old), 14/44 passed away in the ICU. Magnesium was significantly (p < 0.05) elevated in the ICU group while blood urea nitrogen and creatinine level was significantly higher in deceased patients (p < 0.05). Lactate dehydrogenase results were high among all groups, compared to normal range, although its level significantly increased (p > 0.05) in ICU and death groups. CONCLUSIONS: Elevated lactate dehydrogenase, blood urea nitrogen and creatinine levels may increase the risk of ICU admission and death from COVID-19, which can be used as potential biomarkers for disease severity. Using these markers could help physicians choose the optimal therapeutical option and provide patients with better treatment.