Long-Term Care Acquired Urinary Tract Infections' Antibiotic Resistance Patterns and Empiric Therapy: A Pilot Study

Comparison of antibiotic resistance rates and outcomes among older adult patients with urinary tract infections living in long- term care hospitals and the community

OBJECTIVE

In this study, we compared the proportion of antibiotic resistance between patients who visited the emergency department (ED) with urinary tract infection (UTI) from long-term care hospitals (LTCH), which is a type of long-term care facilities (LTCF) and the community. We assessed the resulting difference in prognosis.

METHOD

Older adults who visited the ED between January and December 2019 and were diagnosed with UTI were divided into community residents and LTCH residents. We investigated the antibiotics sensitivity rates, end of therapy (EOT), and the patient's outcomes were evaluated.

RESULTS

The antibiotic resistance rate was higher in LTCH residents. LTCH residents had a higher in hospital mortality rate compared to community residents. EOT was found to be longer, and admission rate and in-hospital mortality rate were also higher in LTCH residents.

CONCLUSION

LTCF residents had a higher rate of antibiotic resistance and a poor prognosis.

Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused coronavirus diseases (COVID-19) in late 2019 in China created a devastating economical loss and loss of human lives. To date, 11 variants have been identified with minimum to maximum severity of infection and surges in cases. Bacterial co-infection/secondary infection is identified during viral respiratory infection, which is a vital reason for morbidity and mortality. The occurrence of secondary infections is an additional burden to the healthcare system; therefore, the quick diagnosis of both COVID-19 and secondary infections will reduce work pressure on healthcare workers. Therefore, well-established support from Artificial Intelligence (AI) could reduce the stress in healthcare and even help in creating novel products to defend against the coronavirus. AI is one of the rapidly growing fields with numerous applications for the healthcare sector. The present review aims to access the recent literature on the role of AI and how its subfamily machine learning (ML) and deep learning (DL) are used to curb the pandemic's effects. We discuss the role of AI in COVID-19 infections, the detection of secondary infections, technology-assisted protection from COVID-19, global laws and regulations on AI, and the impact of the pandemic on public life.

Urinary Tract Infections in Long-term Care: Evaluation of Uropathogens, Antibiotic Susceptibility, and Empiric Treatment

Objective To devise a residential empiric treatment algorithm, describe common uropathogens associated with urinary tract infections (UTIs) in residential care, assess all-pathogen and non-ESBL (extended-spectrum beta-lactamase) Escherichia coli antibiotic susceptibilities, and report the percentage of antibiotic use. Design A retrospective chart review of 198 residents with positive urine cultures from September 2019 to September 2020. Setting Institutional long-term care facility. Participants The exclusion criteria were negative urine culture, mixed organisms on urine culture, no antibiotic treatment, signs and symptoms of systemic infection, hospitalization because of systemic infection, and intravenous antibiotic treatment. The entire population was screened. Results The most prevalent pathogens were non-ESBL E. coli (29%), Proteus mirabilis (12%), Klebsiella pneumoniae (8%), and ESBL E. coli (8%). All-pathogen susceptibilities were 79.6% (amoxicillin/clavulanate), 64.1% (nitrofurantoin), 50.5% (sulfamethoxazole/trimethoprim), 43.7% (cephalexin), 42.7% (amoxicillin), and 41.8% (ciprofloxacin). Amoxicillin/clavulanate (96.7%), nitrofurantoin (90.0%) and sulfamethoxazole/trimethoprim (83.3%) demonstrated the highest non-ESBL E. coli susceptibilities. Nitrofurantoin was the most prescribed antibiotic (21%), followed by amoxicillin/clavulanate (19%) and ciprofloxacin (17%). Conclusion Based on the data, amoxicillin/clavulanate and nitrofurantoin are appropriate first-line options for empiric treatment of symptomatic cystitis in this long-term care facility, with sulfamethoxazole/trimethoprim as an alternative. Ciprofloxacin was overprescribed despite its low susceptibilities to commonly encountered pathogens, which emphasizes the need for a UTI empiric treatment algorithm tailored towards residential care.

Innate Bacteriostatic Mechanisms Defend the Urinary Tract

Urinary tract infection (UTI) is the most common type of urogenital disease. UTI affects the urethra, bladder, ureter, and kidney. A total of 13.3% of women, 2.3% of men, and 3.4% of children in the United States will require treatment for UTI. Traditionally, bladder (cystitis) and kidney (pyelonephritis) infections are considered independently. However, both infections induce host defenses that are either shared or coordinated across the urinary tract. Here, we review the chemical and biophysical mechanisms of bacteriostasis, which limit the duration and severity of the illness. Urinary bacteria attempt to overcome each of these defenses, complicating description of the natural history of UTI.

The management of delirium in the older adult in advanced nursing practice

Delirium is a term used to describe an array of symptoms that indicate a disruption in cerebral metabolism, a condition that is often under-recognised, leading to delayed interventions. The condition is a common cause of older adults presenting in hospital, with significant morbidity and mortality associated with increased length of stay. A case study is used to illustrate the use of a diagnostic algorithm for older adults presenting with delirium to an advanced nurse practitioner (ANP)-led service. The clinical decision pathway provides four differential diagnoses, using the case study to put the decision-making process in context. The article demonstrates the ability of the ANP to practise at a high level of expertise as an autonomous practitioner and shows how the pathway supports the nurse to reach an accurate diagnosis. It shows that prompt and accurate diagnosis of delirium in older adults is crucial to avoiding the complications and cognitive decline associated with the condition.

UroPathogenic Escherichia coli (UPEC) Infections: Virulence Factors, Bladder Responses, Antibiotic, and Non-antibiotic Antimicrobial Strategies

Urinary tract infections (UTIs) are one of the most common pathological conditions in both community and hospital settings. It has been estimated that about 150 million people worldwide develop UTI each year, with high social costs in terms of hospitalizations and medical expenses. Among the common uropathogens associated to UTIs development, UroPathogenic Escherichia coli (UPEC) is the primary cause. UPEC strains possess a plethora of both structural (as fimbriae, pili, curli, flagella) and secreted (toxins, iron-acquisition systems) virulence factors that contribute to their capacity to cause disease, although the ability to adhere to host epithelial cells in the urinary tract represents the most important determinant of pathogenicity. On the opposite side, the bladder epithelium shows a multifaceted array of host defenses including the urine flow and the secretion of antimicrobial substances, which represent useful tools to counteract bacterial infections. The fascinating and intricate dynamics between these players determine a complex interaction system that needs to be revealed. This review will focus on the most relevant components of UPEC arsenal of pathogenicity together with the major host responses to infection, the current approved treatment and the emergence of resistant UPEC strains, the vaccine strategies, the natural antimicrobial compounds along with innovative anti-adhesive and prophylactic approaches to prevent UTIs.

Does flow cytometry have a role in preliminary differentiation between urinary tract infections sustained by gram positive and gram negative bacteria? An Italian polycentric study

BACKGROUND

Urine culture is the most frequently requested test for a Microbiology Lab. A reliable screening tool would be of paramount importance both to clinicians and laboratorians, provided that it could get fast and accurate negative results in order to rule-out urinary tract infection (UTI).

MATERIALS AND METHODS

We evaluated 1907 consecutive urine samples from outpatients. Culture was performed on chromogenic agar with 1μL loop, using 10(5)CFU/mL as a limit of positive growth. Using Sysmex Uf-1000i analyzer we evaluated bacteria forward scatter (B_FSC) and fluorescent light scatter (B_FLH) in a preliminary discrimination step for UTI caused by Gram+ or Gram- bacteria.

RESULTS

We got 512 positive samples. A mono-microbial infection was observed in 490 samples; two bacterial strains were isolated in 22 samples, so 534 bacterial strains were found: 392 Gram-, 133 Gram+ and 9 yeasts. Comparing Gram+ and Gram- bacteria we observed a statistically significant difference for B_FSC but not for B_FLH. In this application experimental cut-off value for B_FSC was 25ch. Using this cut-off to perform a presumptive identification of UTI sustained by Gram-+ bacteria, we observed a SE 0.68, SP 0.84.

CONCLUSION

Our data although preliminary suggest that B_FSC could be useful in presumptive exclusion of UTI caused by Gram-positive bacteria.