Prevalence, aetiology, antimicrobial susceptibility testing, and predictors of urinary tract infection among neonates with clinical sepsis: a cross-sectional study

Background Urinary tract infection (UTI) is the most common and life-threatening bacterial infection among neonates. This study aimed to determine the prevalence, aetiology, and susceptible antimicrobial agents among neonates with UTI. Methods This was a cross-sectional analytical hospital-based study that included 152 neonates with clinical sepsis who were admitted at Dodoma regional referral hospital from January to June 2020. Bacterial growth of 1 × 103 colony forming units/mL of a single uropathogen was used to define the presence of UTI. Statistical analysis was performed using SPSS version 23.0 and multivariate analysis was used to determine the predicting factors of UTI. P <0.05 was regarded statistically significant. Results The prevalence of UTI was 18.4% (28/152). Klebsiella pneumoniae 64.3% (18/28) and Enterobacter spp. 35.7% (10/28) were the bacterial agents isolated. The bacterial isolates were 90%, and 60% sensitive to ciprofloxacin and amikacin, respectively. Low Apgar score (AOR = 12.76, 95% CI = 4.17–39.06, p<0.001), prolonged labour (AOR = 5.36, 95% CI = 1.28–22.52, p = 0.022), positive urine nitrite test (AOR = 26.67, 95% CI = 7.75–91.70, p<0.001), and positive leucocyte esterase test (AOR = 6.64, 95% CI = 1.47–29.97, p = 0.014) were potential predictors of UTI. Conclusion The prevalence of UTI confirmed by urine culture among neonates that were included in the present study indicates that this problem is common in the population where the study was conducted. Klebsiella pneumoniae and Enterobacter spp. were the uropathogens which were isolated. Ciprofloxacin, nitrofurantoin, and amikacin were sensitive to the isolated uropathogens.

Predicting factors of symptomatic radiation pneumonitis induced by durvalumab following concurrent chemoradiotherapy in locally advanced non-small cell lung cancer

Background Concurrent chemoradiotherapy (CCRT) followed by durvalumab is the standard of care for unresectable locally-advanced non-small cell carcinoma (LA-NSCLC). However, a major concern about administration of durvalumab after CCRT is whether the incidence of symptomatic radiation pneumonitis (RP) may increase or not. In the present analysis, we report the initial results of CCRT followed by durvalumab in patients with LA-NSCLC in a real-world setting with focus on predicting factors for symptomatic RP. Methods Patients who were pathologically diagnosed as NSCLC and initiated treatment with CCRT followed by durvalumab between July 2018 to December 2019 were eligible for this study. Patients were included if they completed the planned CRT course and administered at least one course of durvalumab. We retrospectively investigated the preliminary survival outcome and incidence and predicting factors for symptomatic RP. Results Of the 67 patients who planned CCRT, 63 patients completed the entire CCRT course. Of these, 56 patients proceeded to consolidation with durvalumab. The median time to eternal discontinuation of durvalumab was 9.7 months. The cumulative proportion of the patients who exhibited symptomatic RP was 30, 40 and 44% at 3, 6 and 12 months, respectively. In multivariate analyses, pulmonary fibrosis score and lung V40 were significant predictive factors for symptomatic RP (p < 0.001, HR: 7.83, 95% CI: 3.38–18.13, and p = 0.034, HR: 3.17, 95% CI: 1.09–9.19, respectively). Conclusions Pulmonary fibrosis sore and lung V40 were significant predictive factors for symptomatic RP. We should be cautious about the administration of durvalumab for patients having subclinical pulmonary fibrosis. To our best knowledge, this is one of the first report showing the predictive value of high dose volumes to the lung in patients with LA-NSCLC who received CCRT followed by durvalumab.

Major Bleeding in Adults Undergoing Peripheral Extracorporeal Membrane Oxygenation (ECMO): Prognosis and Predictors

Background. Major bleeding has been a common and serious complication with poor outcomes in ECMO patients. With a novel, less-invasive cannulation approach and closer coagulation monitoring regime, the incidence of major bleeding is currently not determined yet. Our study aims to examine the incidence of major bleeding, its determinants, and association with mortality in peripheral-ECMO patients. Method. We conducted a single-center retrospective study on adult patients undergoing peripheral-ECMO between January 2019 and January 2020 at a tertiary referral hospital. Determinants of major bleeding were defined by logistic regression analysis. Risk factors of in-hospital mortality were determined by Cox proportional hazard regression analysis. Results. Major bleeding was reported in 33/105 patients (31.4%) and was associated with higher in-hospital mortality [adjusted hazard ratio (aHR) 3.56, 95% confidence interval (CI) 1.63–7.80, p < 0.001 ). There were no significant difference in age, sex, ECMO indications, ECMO modality, pre-ECMO APACHE-II and SOFA scores between two groups with and without major bleeding. Only APTT >72 seconds [adjusted odds ratio (aOR) 7.10, 95% CI 2.60–19.50, p < 0.001 ], fibrinogen <2 g/L [aOR = 7.10, 95% CI 2.60–19.50, p < 0.001 ], and ACT >220 seconds [aOR = 3.9, 95% CI 1.20–11.80, p = 0.017 ] on days with major bleeding were independent predictors. Conclusions. In summary, major bleeding still had a fairly high incidence and poor outcome in peripheral-ECMO patients. APTT > 72 seconds, fibrinogen < 2 g/L were the strongest predicting factors for major bleeding events.

Physical measurements and patients’ perception of excess skin on arms and thighs before and after bariatric surgery

Background Bariatric surgery is an effective weight loss method for patients with obesity. One side effect of bariatric surgery is uncomfortable excess skin. Much remains to be learned about physical measurements and patients’ subjective perceptions of it. Here, we investigated the pre- to post-bariatric changes in patients’ perception and physical measurements of the skin on the arms and thighs, in order to find possible subgroups especially affected by post-operative excess skin and to identify predicting factors. Methods One hundred forty-seven patients eligible for bariatric surgery completed the Sahlgrenska Excess Skin Questionnaire (SESQ) and underwent measurements of their skin before and 18 months after the procedure. Results Although most physical measurements decreased post-operatively, many patients reported increased discomfort. We identified one subgroup particularly prone to report excess skin on the arms post-operatively: women with high discomfort from excess skin on the arms and high body mass index (BMI), pre-operatively. Ptosis of the excess skin seems to be a feasible measurement for predicting post-operative discomfort. For every centimetre of ptosis pre-operatively, patients had 1.37- and 1.31-fold higher odds of achieving a score for post-operative discomfort from excess skin on the upper arms and thighs, respectively, of ≥ 6 (on a 0–10 scale). Conclusions We identified a subgroup especially affected by discomforting excess skin on arms and thighs after weight loss. Furthermore, we suggest a pre-operative pro-operative ptosis measuring to predict post-operative discomfort level. The result of this study further increases the knowledge of excess skin and should be useful in further improving patient education. Level of Evidence: Level III, risk / prognostic study.

Factors Predicting Oncological Outcomes of Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma in Taiwan

BackgroundTaiwan is one of the endemic regions where upper tract urothelial carcinoma (UTUC) accounts for approximately a third of all urothelial tumors. Owing to its high prevalence, extensive experience has been accumulated in minimally invasive radical nephroureterectomy (RNU). Although a variety of predictive factors have been explored in numerous studies, most of them were on a single-center or limited institutional basis and data from a domestic cohort are lacking.ObjectiveThis study aims to identify significant predicting factors of oncological outcomes, including overall survival (OS), cancer-specific survival (CSS), disease-free survival (DFS), and intravesical recurrence-free survival (IVRFS), following RNU for UTUC in Taiwan.MethodsA multicenter registry database, Taiwan UTUC Collaboration Group, was utilized to analyze oncological outcomes of 3,333 patients undergoing RNU from 1988 to 2021 among various hospitals in Taiwan. Clinicopathological parameters were recorded according to the principles established by consensus meetings. The Kaplan-Meier estimator was utilized to estimate the survival rates, and the curves were compared using the stratified log-rank test. Univariate and multivariate analyses were performed with the Cox proportional hazard model to explore potential predicting factors.ResultsWith a median follow-up of 41.8 months in 1,808 patients with complete information, the 5-year IVRFS, DFS, CSS, and OS probabilities were 66%, 72%, 81%, and 70%, respectively. In total, 482 patients experienced intravesical recurrence, 307 died of UTUC, and 583 died of any cause. Gender predominance was female (57%). A total of 1,531 patients (84.7%) had high-grade tumors; preoperative hydronephrosis presented in 1,094 patients (60.5%). Synchronous bladder UC was identified in 292 patients (16.2%). Minimally invasive procedures accounted for 78.8% of all surgeries, including 768 hand-assisted laparoscopic (42.5%) and 494 laparoscopic (27.3%) approaches. Synchronous bladder UC was the dominant adverse predicting factor for all survival outcomes. Other independent predicting factors for OS, CSS, and DFS included age ≧70, presence of preoperative hydronephrosis, positive surgical margin, LVI, pathological T and N staging, and laparoscopic RNU.ConclusionSynchronous UC of the urinary bladder is an independent adverse prognostic factor for survival in UTUC. The presence of preoperative hydronephrosis was also corroborated as a disadvantageous prognostic factor. Our multivariate analysis suggested that laparoscopic RNU might provide better oncological control.

Metastatic Progression of Osteosarcomas: A Review of Current Knowledge of Environmental versus Oncogenic Drivers

Metastases of osteosarcomas are heterogeneous. They may grow simultaneously with the primary tumor, during treatment or shortly after, or a long time after the end of the treatment. They occur mainly in lungs but also in bone and various soft tissues. They can have the same histology as the primary tumor or show a shift towards a different differentiation path. However, the metastatic capacities of osteosarcoma cells can be predicted by gene and microRNA signatures. Despite the identification of numerous metastasis-promoting/predicting factors, there is no efficient therapeutic strategy to reduce the number of patients developing a metastatic disease or to cure these metastatic patients, except surgery. Indeed, these patients are generally resistant to the classical chemo- and to immuno-therapy. Hence, the knowledge of specific mechanisms should be extended to reveal novel therapeutic approaches. Recent studies that used DNA and RNA sequencing technologies highlighted complex relations between primary and secondary tumors. The reported results also supported a hierarchical organization of the tumor cell clones, suggesting that cancer stem cells are involved. Because of their chemoresistance, their plasticity, and their ability to modulate the immune environment, the osteosarcoma stem cells could be important players in the metastatic process.

Early Routine Biomarkers of SARS-CoV-2 Morbidity and Mortality: Outcomes from an Emergency Section

Background. COVID-19 is a severe acute respiratory disease caused by SARS-CoV-2, a virus belonging to the Coronaviridae family. This disease has spread rapidly around the world and soon became an international public health emergency leading to an unpredicted pressure on the hospital emergency units. Early routine blood biomarkers could be key predicting factors of COVID-19 morbidity and mortality as suggested for C-reactive protein (CRP), IL-6, prothrombin and D-dimer. This study aims to identify other early routine blood biomarkers for COVID-19 severity prediction disclosed directly into the emergency section. Methods. Our research was conducted on 156 COVID-19 patients hospitalized at the Sapienza University Hospital “Policlinico Umberto I” of Rome, Italy, between March 2020 and April 2020 during the paroxysm’s initial phase of the pandemic. In this retrospective study, patients were divided into three groups according to their outcome: (1) emergency group (patients who entered the emergency room and were discharged shortly after because they did not show severe symptoms); (2) intensive care unit (ICU) group (patients who attended the ICU after admission to the emergency unit); (3) the deceased group (patients with a fatal outcome who attended the emergency and, afterward, the ICU units). Routine laboratory tests from medical records were collected when patients were admitted to the emergency unit. We focused on Aspartate transaminase (AST), Alanine transaminase (ALT), Lactate dehydrogenase (LDH), Creatine kinase (CK), Myoglobin (MGB), Ferritin, CRP, and D-dimer. Results. As expected, ANOVA data show an age morbidity increase in both ICU and deceased groups compared with the emergency group. A main effect of morbidity was revealed by ANOVA for all the analyzed parameters with an elevation between the emergency group and the deceased group. Furthermore, a significant increase in LDH, Ferritin, CRP, and D-dimer was also observed between the ICU group and the emergency group and between the deceased group and ICU group. Receiver operating characteristic (ROC) analyses confirmed and extended these findings. Conclusions. This study suggests that the contemporaneous presence of high levels of LDH, Ferritin, and as expected, CRP, and D-dimer could be considered as potential predictors of COVID-19 severity and death.

Dietary intake and prevalence of metabolic syndrome among tanker truck drivers in Ghana

Purpose This study aims to assess dietary intake and prevalence of metabolic syndrome (MetS) among tanker truck drivers in the Kumasi metropolis, Ghana. Design/methodology/approach A cross-sectional study design enrolled 212 fuel tanker drivers. Sociodemographic, anthropometric, dietary and biochemical data were collected. MetS was assessed using the National Cholesterol Education Program Expert Panel on detection, evaluation and treatment of high blood cholesterol in adults Adult Treatment Panel III (NCEP ATP III) 2005 criteria. A three-day 24-h dietary recall was used to assess dietary intake. Binary logistic regression analysis was performed to determine the predicting factors of MetS among study participants. Findings The prevalence of MetS was 19.6% according to NCEP ATP III criteria. The prevalence of obesity, high BP, hyperglycaemia, dyslipidemia among participants were 7.5, 39.7, 37.7 and 57.3%, respectively. The energy intake for 176 (88.4%) of the participants was inadequate. The predicting factors of MetS were age (OR: 1.3, p = 0.04), glycated haemoglobin (OR: 9.6, p = 0.004), systolic blood pressure (OR: 1.2 95%, p = 0.01) and service years (OR: 0.8, p = 0.01). Research limitations/implications The current study focused on MetS among tanker truck drivers in Kumasi metropolis, which makes the current findings only limited to drivers of tanker truck within the municipality. Additionally, the 24-h dietary recall could be subjected to recall bias. However, the study is still of relevance as it becomes the first to target such a group within the municipality, taking into consideration the importance of these tanker truck drivers in driving the economy of Ghana. Originality/value This study highlights dietary intake and MetS among fuel tanker drivers previously underreported in the Ghanaian population. Findings of this study would inform further studies on lifestyle-related determinants of MetS among other cohort of drivers in other settings within the country.

Modeling the risks process, associated with the violation of rolling stock operation

The article analyzes a possible approach to the construction of a risk management model at the enterprises of the locomotive complex of JSC "Russian Railways" performing rolling stock operation. The suggested model can be implemented in a system for organizing the safety of rolling stock operation. The relevance of improving safety is particularly acute when operating high-tech rolling stock with a high complexity of control algorithms. The objetive is the analysis and development of solutions to improve operational efficiency using a model that provides solutions to the problems of choosing optimal and safe operating modes from the point of view of implementing rolling stock management processes. Reducing the number of violations during the operation of rolling stock can be realized with the active use of a risk-based model that takes into account the possibility of predicting factors that affect the occurrence of risks. In this regard, the issues related to the implementation of risk management in operational locomotive depots are considered. The most rational approach to the implementation of risk management for a variety of uncontrolled factors that have a significant impact on the safety and accident-free operation is given. A model for solving multi-criteria problems is suggested as one of the options for choosing the safe operation of rolling stock.

Predictors of an Immunogenic Response to the BNT162b2 mRNA COVID-19 Vaccination in Patients with Autoimmune Inflammatory Rheumatic Diseases Treated with Rituximab: A Multicenter Study

BackgroundTreatment with rituximab (RTX) blunts SARS-CoV-2 vaccination-induced humoral response. We sought to identify predictors of a positive immunogenic response to the BNT162b2 mRNA vaccine in patients with autoimmune inflammatory rheumatic diseases (AIIRD) treated with RTX (AIIRD-RTX).MethodsWe analyzed 108 AIIRD-RTX patients and 122 immunocompetent controls immunized with BNT162b2 mRNA vaccine participating in a multicenter vaccination study. Immunogenicity was defined by positive anti-SARS-CoV-2 S1/S2 IgG measured at 2 to 6 weeks after the second vaccine dose. We used a stepwise backward multiple logistic regression to identify predicting factors for a positive immunogenic response to vaccination and develop a predicting calculator, further validated in an independent cohort of AIIRD-RTX patients (n=48) immunized with the BNT162b2 mRNA vaccine.Results AIIRD-RTX patients who mounted a seropositive immunogenic response significantly differed from non-responders by lower number of RTX courses (median (range) 3 (1-10) vs 5 (1-15), p=0.007; lower cumulative RTX dose 6943.11±5975.74 vs 9780.95±7240.12 mg, p=0.033; higher IgG level prior to last RTX course (mean ± SD), 1189.78±576.28 vs. 884.33±302.31 mg/dL, p=0.002, and extended interval between RTX treatment and vaccination, 469.82±570.39 vs 162.08±160.12 days, p=0.0009, respectively. Patients with ANCA-associated vasculitis and inflammatory myositis had a low likelihood of a seropositive immunogenic response compared to patients with rheumatoid arthritis, odds ratio (OR) 0.209, 95% confidence interval (CI) 0.046-0.96, p=0.044 and OR 0.189, 95% CI 0.036-0.987, p=0.048, respectively. Based on these findings, we constructed a calculator predicting the probability of a seropositive immunogenic response following BNT162b2 mRNA vaccination which performed with 90.5% sensitivity, 59.3% specificity, 63.3% positive and 88.9% negative predictive values.ConclusionsThe predicting calculator might guide clinicians for optimal timing of BNT162b2 mRNA vaccination in AIIRD-RTX patients.