ABSTRACT
The aim of this study was to create a dynamic web-based tool to predict the risks of methicillin-resistant Staphylococcus spp. (MRS) infection in patients with pneumonia. We conducted an observational study of patients with pneumonia at Cho Ray Hospital from March 2021 to March 2023. The Bayesian model averaging method and stepwise selection were applied to identify different sets of independent predictors. The final model was internally validated using the bootstrap method. We used receiver operator characteristic (ROC) curve, calibration, and decision curve analyses to assess the nomogram model's predictive performance. Based on the American Thoracic Society, British Thoracic Society recommendations, and our data, we developed a model with significant risk factors, including tracheostomies or endotracheal tubes, skin infections, pleural effusions, and pneumatoceles, and used 0.3 as the optimal cut-off point. ROC curve analysis indicated an area under the curve of 0.7 (0.63-0.77) in the dataset and 0.71 (0.64-0.78) in 1000 bootstrap samples, with sensitivities of 92.39% and 91.11%, respectively. Calibration analysis demonstrated good agreement between the observed and predicted probability curves. When the threshold is above 0.3, we recommend empiric antibiotic therapy for MRS. The web-based dynamic interface also makes our model easier to use.
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or coronavirus disease 2019 (Covid-19), has uncontrollable effects on many organs. A great number of previously published scientific reports have revealed that patients with diabetes mellitus face a more severe form of Covid-19 with a higher death rate. Here we present the case of a 13-year-old unvaccinated boy who was admitted to an intensive care unit (ICU) with a history of fever, cough, dyspnea, throat pain, nausea, and confusion that progressed to lethargy after 24 h. On clinical examination, he was in a coma with Kussmaul's breathing, and was anuric. His blood biochemical analysis demonstrated hyperglycemia, severe metabolic acidosis, kidney failure, electrolyte disturbances, and inflammation. Chest x-ray showed pneumonia and a pleural effusion. The results of the SARS-CoV-2 real-time polymerase chain reaction were positive. The patient was diagnosed with Covid-19-induced acute respiratory distress syndrome associated with multisystem inflammatory syndrome in children secondary to his acute respiratory failure, acute kidney injury, and new-onset type 1 diabetes mellitus with diabetic ketoacidosis. He was intubated for invasive mechanical ventilation and received a normal saline infusion and continuous insulin infusion (0.1 IU/kg/h) for the treatment of his diabetic ketoacidosis. He was also treated with methylprednisolone, aspirin, and heparin, and underwent continuous renal replacement therapy for acute renal failure for 9 days. The patient was discharged from ICU on day 16 and was followed up regularly as an outpatient with daily treatment, including subcutaneous insulin injection (30 IU/day) and a calcium channel blocker for hypertension (nifedipine 20 mg/day).
ABSTRACT
A 27-year-old woman at 17 weeks gestation was admitted to the intensive care unit (ICU) with a history of fever, dyspnea, and dry cough for 3 days. She was diagnosed with coronavirus disease 2019 (COVID-19) based on her nasopharyngeal swab polymerase chain reaction (PCR) that was positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In the ICU, the patient developed acute respiratory distress syndrome (ARDS) and increased levels of inflammatory markers. She was then intubated for mechanical ventilation and had a treatment for critical COVID-19 illness during pregnancy. She also received three cycles on alternating days of therapeutic plasma exchange (TPE) since she was failing to respond to conventional medical treatment. During hospitalization, the patient's fetus was closely monitored by repetitive ultrasound. After 27 days of hospitalization and 10 days of mechanical ventilation weaning, the patient's respiratory condition improved and her inflammatory biomarkers normalized. She was discharged from the hospital with an apparently healthy 20th week fetus. This case report highlights the role of TPE for treatment of ARDS due to cytokine storm in pregnant women with severe COVID-19 infection. This case emphasizes that careful evaluation of clinical and biological progression of the patient's status is very important and when conventional therapies are failing, alternative therapies such as TPE should be considered.
ABSTRACT
INTRODUCTION: Nosocomial pneumonia is a common infection associated with high mortality in hospitalized patients. Nosocomial pneumonia, caused by gram-negative bacteria, often occurs in the elderly and patients with co-morbid diseases. METHODS: Original research using a prospective cross-sectional design was conducted on 281 patients in an intensive care unit setting with nosocomial pneumonia between July 2015 and July 2019. For each nosocomial pneumonia case, data regarding comorbidities, risk factors, patient characteristics, Charlson comorbidity index (CCI), Systemic Inflammatory Response Syndrome (SIRS), and quick Sepsis-Related Organ Failure Assessment (qSOFA) points and treatment outcomes were collected. Data were analyzed by SPSS 22.0. RESULTS: Nosocomial pneumonia due to gram-negative bacteria occurred in patients with neurological disorders (34.87%), heart diseases (16.37%), chronic renal failure (7.12%), and post-surgery (10.68%). Worse outcomes attributed to nosocomial pneumonia were high at 75.8%. Mechanical ventilation, change of antibiotics, and CCI ≥ 3 and qSOFA ≥ 2 were significantly negative prognostic factors (p < 0.05) on outcomes of nosocomial pneumonia. There was no difference in treatment effects between gender, age, time of onset pneumonia, SIRS score (p > 0.05). The pathogens were significant factors that influence treatment effects, but they weren't independent risk factors for poor outcomes (p = 0.823). CONCLUSIONS: Patients with nosocomial pneumonia hospitalized in intensive care units are usually associated with many underlying diseases, including neurological diseases. Mechanical ventilation, a change in antibiotics, CCI ≥ 3, and qSOFA ≥ 2 are also associated with a worse prognosis of nosocomial pneumonia. CCI and qSOFA might be used in predicting the outcome of nosocomial pneumonia.