Microbiologic Agents in Parent-reported Neonatal Fever.

We reviewed etiology and outcome of consecutive neonates admitted to a neonatal unit for investigation of parent-reported fever (116 neonates over 24 months). Tympanic temperature was measured at the emergency department (Te) and core temperature at the neonatal unit (Tn). Microbials were isolated in 27 patients (23%); Te and Tn were both <38°C in 13 (48%) of the 27 patients. Microbial isolation was associated with older median age (16.7 vs. 8.0 days, p = 0.004), empirical antibiotic commencement (p = 0.0003) and longer hospital stay (median 8 vs. 4.0 days, p = 0.004). Compared with respiratory viral infection, patients with bacteremia had high C-reactive protein (p = 0.005) and likely to have comorbidity of meningitis (p = 0.077). Te ≥38°C had the highest sensitivity, positive likelihood ratio and positive and negative predictive ratios for bacteremia. Parent-reported fever was associated with a 3% incidence of meningitis, 6% of bacteremia and 9% of urinary tract infection. The majority of neonates with parent-reported fever do not have serious bacterial infection. Nevertheless, recommendations about threshold of antibiotic initiation are difficult, and empirical systemic antibiotic coverage must be commenced in those neonates with Te ≥38°C or elevated C-reactive protein.

Impact of renal function variability on long-term prognosis in ischemic stroke patients with atrial fibrillation.

Background: Although renal dysfunction is associated with adverse clinical outcomes in patients with atrial fibrillation (AF) following stroke, the impact of renal function variability is unclear. Aim: This study aimed to assess the association between renal function variability and various adverse clinical outcomes in patients with transient ischemic attack (TIA)/ischemic stroke and atrial fibrillation (AF). Methods: We conducted a population-based study and retrospectively identified patients hospitalized with a diagnosis of TIA/ischemic stroke and AF during 2016-2020 using the Clinical Data Analysis and Reporting System of Hong Kong. Serial serum creatinine tested upon the onset of TIA/ischemic stroke and during their subsequent follow-up was collected. Renal function variability was calculated using the coefficient of variation of the estimated glomerular filtration rate (eGFR). Clinical endpoints that occurred during the study period were captured and included ischemic stroke/systemic embolism, intracerebral hemorrhage (ICH), total bleeding, major adverse cardiovascular events (MACE), cardiovascular, non-cardiovascular, and all-cause mortality. Competing risk regression and Cox proportional hazard regression models were used to assess the associations of renal function variability with the outcomes of interest. Results: A total of 3,809 patients (mean age 80 ± 10 years, 43% men) who satisfied the inclusion and exclusion criteria were followed up for a mean of 2.5 ± 1.5 years (9,523 patient-years). The mean eGFR was 66 ± 22 mL/min/1.73 m2 at baseline, and the median number of renal function tests per patient during the follow-up period was 20 (interquartile range 11-35). After accounting for potential confounders, a greater eGFR variability was associated with increased risks of recurrent ischemic stroke/systemic embolism [fully adjusted subdistribution hazard ratio 1.11, 95% confidence interval (CI) 1.03-1.20], ICH (1.17, 1.01-1.36), total bleeding (1.13, 1.06-1.21), MACE (1.22, 1.15-1.30), cardiovascular (1.49, 1.32-1.69), non-cardiovascular (1.43, 1.35-1.52), and all-cause mortality (fully adjusted hazard ratio 1.44, 1.39-1.50). Conclusion: Visit-to-visit renal function variability is independently associated with adverse clinical outcomes in TIA/ischemic stroke patients with AF. Further large-scale studies are needed to validate our results.

Association of LDL-cholesterol <1.8 mmol/L and statin use with the recurrence of intracerebral hemorrhage.

BACKGROUND: Recent intensive low-density lipoprotein cholesterol (LDL-C) lowering trials, including FOURIER, ODYSSEY OUTCOMES, and Treat Stroke to Target (TST) trials, have mostly refuted the concern surrounding statin use, LDL-C lowering, and intracerebral hemorrhage (ICH) risk. However, the results from these trials may not be fully applied to ICH survivors, as the populations studied were mainly patients without prior ICH, in whom the inherent ICH risk is more than 10 times lower than that of ICH survivors. Although available literature on statin use after ICH has demonstrated no excess risk of recurrent ICH, other potential factors that may modify ICH risk, especially hypertension control and ICH etiology, have not generally been considered. Notably, data on LDL-C levels following ICH are lacking. AIMS: We aim to investigate the association between LDL-C levels and statin use with ICH risk among ICH survivors, and to determine whether the risk differed with patients' characteristics, especially ICH etiology. METHODS: Follow-up data of consecutive spontaneous ICH survivors enrolled in the University of Hong Kong prospective stroke registry from 2011 to 2019 were retrospectively analyzed. ICH etiology was classified as cerebral amyloid angiopathy (CAA) using the modified Boston criteria or hypertensive arteriopathy, while the mean follow-up LDL-C value was categorized as <1.8 or ⩾1.8 mmol/L. The primary endpoint was recurrent ICH. The association of LDL-C level and statin use with recurrent ICH was determined using multivariable Cox regression. Pre-specified subgroup analyses were performed, including based on ICH etiology and statin prescription. Follow-up blood pressure was included in all the regression models. RESULTS: In 502 ICH survivors (mean age = 64.2 ± 13.5 years, mean follow-up LDL-C = 2.2 ± 0.6 mmol/L, 28% with LDL-C <1.8 mmol/L), 44 had ICH recurrence during a mean follow-up of 5.9 ± 2.8 years. Statin use after ICH was not associated with recurrent ICH (adjusted hazard ratio (AHR) = 1.07, 95% confidence interval (CI) = 0.57-2.00). The risk of ICH recurrence was increased for follow-up LDL-C <1.8 mmol/L (AHR = 1.99, 95% CI = 1.06-3.73). This association was predominantly observed in ICH attributable to CAA (AHR = 2.52, 95% CI = 1.06-5.99) and non-statin users (AHR = 2.91, 95% CI = 1.08-7.86). CONCLUSION: The association between post-ICH LDL-C <1.8 mmol/L and recurrent ICH was predominantly observed in CAA patients and those with intrinsically low LDL-C (non-statin users). While statins can be safely prescribed in ICH survivors, LDL-C targets should be individualized and caution must be exercised in CAA patients.

Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy.

Given the high death rate caused by high-risk prostate cancer (PCa) (>40%) and the reliability issues associated with traditional prognostic markers, the purpose of this study is to investigate planning computed tomography (pCT)-based radiomics for the long-term prognostication of high-risk localized PCa patients who received whole pelvic radiotherapy (WPRT). This is a retrospective study with methods based on best practice procedures for radiomics research. Sixty-four patients were selected and randomly assigned to training (n = 45) and testing (n = 19) cohorts for radiomics model development with five major steps: pCT image acquisition using a Philips Big Bore CT simulator; multiple manual segmentations of clinical target volume for the prostate (CTVprostate) on the pCT images; feature extraction from the CTVprostate using PyRadiomics; feature selection for overfitting avoidance; and model development with three-fold cross-validation. The radiomics model and signature performances were evaluated based on the area under the receiver operating characteristic curve (AUC) as well as accuracy, sensitivity and specificity. This study's results show that our pCT-based radiomics model was able to predict the six-year progression-free survival of the high-risk localized PCa patients who received the WPRT with highly consistent performances (mean AUC: 0.76 (training) and 0.71 (testing)). These are comparable to findings of other similar studies including those using magnetic resonance imaging (MRI)-based radiomics. The accuracy, sensitivity and specificity of our radiomics signature that consisted of two texture features were 0.778, 0.833 and 0.556 (training) and 0.842, 0.867 and 0.750 (testing), respectively. Since CT is more readily available than MRI and is the standard-of-care modality for PCa WPRT planning, pCT-based radiomics could be used as a routine non-invasive approach to the prognostic prediction of WPRT treatment outcomes in high-risk localized PCa.