Predictive factors of urinary tract infections caused by extended-spectrum ß-lactamase-producing Escherichia coli in children: a prospective Tunisian study.

AIM: To identify the predictive factors for the occurrence of community-acquired urinary tract infections caused by Extended-Spectrum ß-Lactamase-Producing Escherichia coli in children. METHODS: This was a single-center prospective observational study of children and young adults with community-acquired urinary tract infections caused by Extended-Spectrum ß-Lactamase-Producing Escherichia coli. The study was conducted in the pediatric nephrology department in Charles Nicolle Hospital, Tunis, Tunisia from January 1st, 2019, to December 31, 2020. Patients ≤20 years with community-acquired urinary tract infection caused by Escherichia coli were included prospectively in our study. RESULTS: We collected 290 urinary tract infections in 218 patients, including 92 urinary tract infections due to Extended-Spectrum ß-Lactamase-Producing Escherichia coli. The mean age of children was 50.10±54.28 months, with a female predominance in 65.2% of cases. Risk factors for the acquisition of multidrug-resistant bacteria were antibiotic therapy in the previous three months, antibiotic prophylaxis, hospitalization in the year preceding the urinary tract infections, and outpatient care in the previous six months (p < 0.05). Resistance to Ceftazidime, Cefotaxime, Cefixime, Gentamicin and Ofloxacin was significantly associated with the presence of an Extended-Spectrum ß-Lactamase strain. Antibiotic resistance was significantly more observed in the age group above 6 years. Co-habitation with health care worker was a risk factor for resistance to Amoxicillin-Clavulanic Acid. CONCLUSION: Understanding the epidemiological profile and risk factors for ESBL-producing UTIs, including Extended-Spectrum ß-Lactamase-producing Escherichia coli in the pediatric population, could improve the therapeutic approach and lead to more rational prescription of antibiotics.

Mechanical complications of peritoneal dialysis in Tunisian children.

INTRODUCTION: Peritoneal dialysis (PD) is the method of choice for extra-renal replacement therapy (ERT) for children with end-stage renal disease (ESRD), because of its various advantages. However, it presents different infectious and non-infectious complications, causes of important morbidity and mortality. AIM: To determine the mechanical complications of PD in our center and to identify risk factors of their occurrence. METHODS: We retrospectively collected the records of 99 patients who were treated with PD within the past eleven years in the department of pediatrics of the University Hospital Charles Nicolle of Tunis. Analysis examining possible risque factors were performed using parametric and non-parametric tests. RESULTS: A total of 63 patients had mechanical complications with an incidence of peritoneal dialysis catheter revision of 1 procedure every 38 months. The causes were dominated by catheter migration (27.5%) and obstruction by fibrin or blood clotting (19.8%). A history of peritonitis (p=0.046) and the presence of comorbidity (p=0.008) were the two independent risk factors for catheter revision. Inguinal hernia was noted in six patients. No patient presented with a hydrothorax. Seven patients presented an episode of hemoperitoneum. CONCLUSION: Our results lead us to focus our efforts on preventing peritonitis and controlling morbidity. Prospective studies will enable us to confirm our results.

Computerized Decision Support Systems for Nursing Homes: A Scoping Review.

OBJECTIVES: To summarize the research literature describing the outcomes of computerized decision support systems (CDSSs) implemented in nursing homes (NHs). DESIGN: Scoping review. METHODS: Search of relevant articles published in the English language between January 1, 2000, and February 29, 2020, in the Medline database. The quality of the selected studies was assessed according to PRISMA guidelines and the Mixed Method Appraisal Tool. RESULTS: From 1828 articles retrieved, 24 studies were selected for review, among which only 6 were randomized controlled trials. Although clinical outcomes are seldom studied, some studies show that CDSSs have the potential to decrease pressure ulcer incidence and malnutrition prevalence. Improvement of process outcomes such as increased compliance with practice guidelines, better documentation of nursing assessment, improved teamwork and communication, and cost saving, also are reported. CONCLUSIONS AND IMPLICATIONS: Overall, the use of CDSSs in NHs may be effective to improve patient clinical outcomes and health care delivery; however, most of the retrieved studies were observational studies, which significantly weakens the evidence. High-quality studies are needed to investigate CDSS effects and limitations in NHs.

Users' Assessement of the Visualization with Gauges of a Guideline-Based Decision Support System Output: A Qualitative Study of Focus Groups.

Computerized decision support systems (CDSSs) are still poorly routinely implemented in clinical practices mainly because of usability problems related to the technology interface. We previously proposed to use gauges to visualize the output of a guideline-based CDSS applied to malnutrition and pressure ulcer management in nursing homes. This interface was assessed by four focus groups including 16 healthcare professionals with expertise in geriatrics. A USE-like questionnaire was distributed. Participants considered the dashboard-with-gauges visualization was useful (94%), easy to use (63%), easy to learn (88%), and 88% thought they could be satisfied with it. However, concerns were expressed about the difficulty to follow up multiple healthcare problems.

Visualization of Guideline-Based Decision Support for the Management of Pressure Ulcers in Nursing Homes.

Though a preventable risk, the management of pressure ulcers (PUs) in nursing homes is not satisfactory due to inadequate prevention and complex care plans. PUs early detection and wound assessment require to know the patient condition and risk factors and to have a good knowledge of best practices. We built a guideline-based clinical decision support system (CDSS) for the prevention, the assessment, and the management of PUs. Clinical practice guidelines have been modeled as decision trees and formalized as IF-THEN rules to be triggered by electronic health record (EHR) data. From PU assessment yielded by the CDSS, we propose a synthetic visualization of PU current and previous stages as a gauge that illustrates the different stages of PU continuous evolution. This allows to display PU current and previous stages to inform health care professionals of PU updated assessment and support their evaluation of previously delivered care efficiency. The CDSS will be integrated in NETSoins nursing homes EHR where gauges for several health problems constitute a patient dashboard.

Guideline-Based Decision Support System for Nursing Homes: A Case Study with the Management of Malnutrition.

Nursing home (NH) residents are known to be at risk of preventable adverse events due to inadequate monitoring or failure to provide necessary treatments. Missed care has been partially explained by nurses' lack of knowledge. We describe a guideline-based decision support system for the management of malnutrition in NHs. Three steps are distinguished: screening, therapeutic management, and follow-up. Clinical practice guidelines have been modeled as decision trees and formalized as IF-THEN rules to be triggered by electronic health records data (e.g., weight, albuminemia). We propose a visualization of recommendations as a dashboard of gauges displaying both current and previous levels of malnutrition to inform on the effect of therapeutic management and facilitate a correct follow-up.

Clinical Decision Support Systems in Nursing Homes: A Scoping Review.

The world population is dramatically ageing, resulting in an increase of the prevalence of older dependent adults living in nursing homes (NHs). Because of insufficient resources in NHs, and nurses' lack of time and knowledge, adverse events, most of them being preventable, are often reported. Clinical decision support systems (CDSSs) have proven to improve the quality of care in various healthcare settings such as hospitals and primary care centers. However, the use of CDSSs in NHs is still limited and little is known about their influence on nursing practices and NH residents' clinical outcomes. We conducted a scoping review of the literature to evaluate CDSS use in NHs. Out of 1,231 retrieved papers, 15 studies were retrieved which assess 10 CDSSs applied to pressure ulcers and malnutrition prevention, drug prescription, and disease management. This review showed CDSSs could be effective in NHs for improving routine clinical practice and patient outcomes, but research is still needed to implement effective CDSSs in NHs.

Manual Dexterity and Aging: A Pilot Study Disentangling Sensorimotor From Cognitive Decline.

Manual dexterity measures can be useful for early detection of age-related functional decline and for prediction of cognitive decline. However, what aspects of sensorimotor function to assess remains unclear. Manual dexterity markers should be able to separate impairments related to cognitive decline from those related to healthy aging. In this pilot study, we aimed to compare manual dexterity components in patients diagnosed with cognitive decline (mean age: 84 years, N = 11) and in age comparable cognitively intact elderly subjects (mean age: 78 years, N = 11). In order to separate impairments due to healthy aging from deficits due to cognitive decline we also included two groups of healthy young adults (mean age: 26 years, N = 10) and middle-aged adults (mean age: 41 years, N = 8). A comprehensive quantitative evaluation of manual dexterity was performed using three tasks: (i) visuomotor force tracking, (ii) isochronous single finger tapping with auditory cues, and (iii) visuomotor multi-finger tapping. Results showed a highly significant increase in force tracking error with increasing age. Subjects with cognitive decline had increased finger tapping variability and reduced ability to select the correct tapping fingers in the multi-finger tapping task compared to cognitively intact elderly subjects. Cognitively intact elderly subjects and those with cognitive decline had prolonged force release and reduced independence of finger movements compared to young adults and middle-aged adults. The findings suggest two different patterns of impaired manual dexterity: one related to cognitive decline and another related to healthy aging. Manual dexterity tasks requiring updating of performance, in accordance with (temporal or spatial) task rules maintained in short-term memory, are particularly affected in cognitive decline. Conversely, tasks requiring online matching of motor output to sensory cues were affected by age, not by cognitive status. Remarkably, no motor impairments were detected in patients with cognitive decline using clinical scales of hand function. The findings may have consequences for the development of manual dexterity markers of cognitive decline.