The purpose of this study was to investigate the distribution pattern of genes responsible for erythromycin and tetracycline resistance and their association with resistance phenotypes in enterococcus isolates.

Eighty-six Enterococcus faecalis and 26 E. faecium isolates were collected from 2 hospitals in Kerman, Iran. Minimum inhibitory concentration of erythromycin and tetra-cycline was determined and then genes encoding resistance to erythromycin – erm (A-C), mef, and msr – and tetracycline – tet (M), tet (O), tet (S), tet (K), and tet (L) – were investigated.

In all resistant isolates (n = 72, 64%), high-level resistance to both tested antibiotics was found. The most prevalent erm gene was erm (B) (77.7%), followed by erm (A) (15.2%) and erm (C) (8.3%). Genes mediating erythromycin efflux were detected in 70.8% (mef) and 9.7% (msr) of resistant isolates. Regarding tetracycline, tet (M) was detected at the highest rate (50%), followed by tet (O) (31%) and tet (S) (11%). Export of tetracycline was found in 31% (tet (K)) and 12% (tet (L)) of isolates.

A high prevalence of high-level resistance to both erythromycin and tetracycline was documented. Alterations at the ribosomal level was more frequently detected in erythromycin and tetracycline resistance than efflux systems. BMS-1 inhibitor research buy Concurrent resistance mechanisms were more involved in resistance to erythromycin than tetracycline.

A high prevalence of high-level resistance to both erythromycin and tetracycline was documented. Alterations at the ribosomal level was more frequently detected in erythromycin and tetracycline resistance than efflux systems. Concurrent resistance mechanisms were more involved in resistance to erythromycin than tetracycline.

Preoperative diagnosis of malignant collision tumors (MCT) is extremely difficult. The value of dermoscopy to improve the correct detection of these tumors has not been previously studied. This study aims to evaluate the diagnostic accuracy of MCT with and without dermoscopy and to describe the dermoscopic features of a large series of MCT.

Dermoscopic images of 161 MCT were evaluated. Clinical and dermoscopic images of histopathologically proven MCT intermingled with other tumors were randomly presented to clinicians with different levels of experience, blinded to the diagnosis and objective of the study. The clinical and dermoscopic diagnostic accuracies were measured separately.

A total of 161 histopathologically proven cases of MCT were collected. The most frequent MCT was basal cell carcinoma-seborrheic keratosis collision tumor (CT; 37.9%), followed by basal cell carcinoma-melanocytic nevus CT (19.9%), and melanoma-seborrheic keratosis CT (6.8%). Diagnostic accuracy among experts on dermoscopy was 71.4%. The study included 119 participants. The percentage of correct diagnoses was 8% by naked eye examination and 36.4% by dermoscopy (p < 0.001). The presence of the malignant component in the cases of MCT was not recognizable in 19.1% of cases by naked eye examination and in 11.8% of cases by dermoscopy (p < 0.001).

The diagnosis of MCT can be assisted and clarified by dermoscopy. However, many of these lesions manifest complex morphologies and continue to be challenging, even for experts on dermoscopy. Atypical, uncertain, or non-classifiable lesions still need a complete excision for the final diagnosis.

The diagnosis of MCT can be assisted and clarified by dermoscopy. However, many of these lesions manifest complex morphologies and continue to be challenging, even for experts on dermoscopy. Atypical, uncertain, or non-classifiable lesions still need a complete excision for the final diagnosis.

The lack of longitudinal data of comorbidity burden makes the association between comorbidity and cognitive decline inconclusive. We aimed to measure comorbidity and assess its effects on cognitive decline in mild to moderate dementia.

This was a prospective cohort study. The participants were enrolled from the Hualien Tzu Chi Hospital between January 2015 and December 2018. We enrolled 175 older adults with mild to moderate dementia and conducted in-person interviews to follow-up comorbidity and cognitive function annually. The comorbidity burden indices included Cumulative Illness Rating Scale for Geriatrics (CIRS-G), Charlson Comorbidity Index (CCI), and Medication Regimen Complexity Index (MRCI), and cognitive function was measured by Mini-Mental State Examination (MMSE) and clock drawing test. We employed the generalized estimating equations to assess the longitudinal effect of time-varying comorbidity burden on cognitive decline after adjusting for age, sex, and education.

Most patients were diagnosed with Alzheimer’s disease (88.6%) and in the early stage of dementia (Clinical Dementia Rating [CDR] = 0.5, 57.1%; CDR = 1, 36.6%). Multimorbidity was common (median 3), and the top 3 most common comorbidities were osteoarthritis (67.4%), hypertension (65.7%), and hyperlipidemia (36.6%). The severity index of CIRS-G was significantly associated with cognitive decline in MMSE after adjusting for age, sex, and education. CCI and MRCI scores were, however, not associated with cognitive function.

The severity index of CIRS-G outperforms CCI and MRCI in reflecting the longitudinal effect of comorbidity burden on cognitive decline in mild to moderate dementia.

The severity index of CIRS-G outperforms CCI and MRCI in reflecting the longitudinal effect of comorbidity burden on cognitive decline in mild to moderate dementia.The development of dental caries in first permanent molars has been extensively investigated. However, studies are inconclusive in determining the influence of contextual and individual factors on dental caries incidence in this group of teeth. The aim of this study was to evaluate the influence of contextual and individual factors on dental caries incidence in first permanent molars. This 7-year cohort study was conducted with children (1-5 years of age) who had been assessed initially in a survey performed in 2010. Dental caries was assessed at the baseline through the International Caries Detection and Assessment System (ICDAS). Contextual and individual variables were collected at baseline and included the presence of cultural community centers in the neighborhood as well as demographic, socioeconomic, psychosocial, and biological characteristics. A multilevel Poisson regression model was used to investigate the influence of individual and contextual characteristics on dental caries incidence in first permanent molars (relative risk [RR] and 95% confidence interval [CI]).