Oral Lesions and Oral Health-Related Quality of Life in Adult Patients with Psoriasis: A Retrospective Chart Review.

Psoriasis is a widespread chronic inflammatory skin disease, that negatively affects physical and emotional well-being and quality of life, as shown by the generally low Dermatology Life Quality Index (DLQI). Psoriasis is burdened by associated comorbidities and some patients manifest concurrent oral lesions, although the existence of oral psoriasis remains controversial. Psoriasis-specific and nonspecific oral lesions and Oral Health-Related Quality of Life (OHRQoL), self-assessed using the Oral Health Impact Profile-14 (OHIP-14) questionnaire, were retrospectively reviewed in adult untreated psoriasis patients with ≥15 teeth, who were non-smokers and had no dental or periodontal infections. Sample (age, gender, comorbidities) and descriptive variables (Body Surface Area-BSA, Psoriasis Area and Severity Index-PASI, Dermatology Life Quality Index-DLQI, severity of psoriasis, distribution of lesions and predominant involvement, years since diagnosis) were correlated with DLQI and OHIP-14 and compared by baseline DLQI and OHRQoL classes. Charts from 90 participants were included. No oral lesions were detected, and excellent/good OHRQoL was found in 94% of the participants. DLQI scores displayed positive significant associations with PASI and BSA, while OHIP-14 with hypertension and IMID, and age. PASI and BSA were significantly higher in participants with DLQI > 10 and also differed significantly among OHQRoL ranks, as well as mucosal involvement and comorbidities. Specifically, among subjects revealing an Excellent OHQRoL, 92.6% were non-IMID, 75% non-hypertensive, 89.7% non-diabetic subjects, 86.8% of non CVD-subjects.

Postpartum Depression and Inflammatory Biomarkers of Neutrophil-Lymphocyte Ratio, Platelet-Lymphocyte Ratio, and Monocyte-Lymphocyte Ratio: A Prospective Observational Study.

OBJECTIVES: Postpartum depression (PPD) is a severe mental health disorder affecting a significant proportion of mothers, often undiagnosed and untreated, with potential long-term effects. While numerous studies have identified risk factors for PPD, the relationship between inflammatory markers and PPD remains unknown. This study aimed to investigate the potential correlation between indirect inflammatory markers, specifically neutrophil-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR), and the risk of developing PPD, assessed by the Edinburgh Postnatal Depression Scale (EPDS). DESIGN: This was a prospective observational study conducted in a second-level university hospital, from December 2019 to February 2021. PARTICIPANTS: A total of 211 full-term pregnant women were enrolled. Exclusion criteria included specific psychiatric diagnoses, such as severe intellectual disability, schizophrenia, schizoaffective disorder, delusional disorder, bipolar or other unspecified psychotic spectrum disorders. Additionally, pregnancies affected by gestational and pregestational diabetes, chronic hypertension, gestational hypertension, preeclampsia/eclampsia, intrauterine fetal growth restriction, preterm delivery, multiple pregnancies, and fetal abnormalities detected prenatally were excluded. METHODS: Socio-demographic and clinical data were recorded. Blood samples for complete blood count were obtained at hospital admission, focusing on NLR, PLR, and MLR. Analyses were conducted in our laboratory using standard techniques. The postpartum PPD evaluation was conducted 3 days after delivery, with the EPDS Italian version. Statistical analyses included descriptive statistics, group comparisons using t tests or Wilcoxon rank-sum tests for continuous variables, and Pearson χ2 or Fisher's exact tests for categorical variables. Correlation analyses employed Pearson correlation or Spearman's rank correlation tests. Simple logistic regression models, adjusted for various baseline patient characteristics, explored the correlation between inflammatory markers (PLR, NLR, MLR) and postpartum depressive symptoms. Version 4.1.3 of RStudio statistical software was utilized. RESULTS: Overall, 211 pregnant women enrolled were categorized into two groups based on the EPDS scores: <10 (176 patients) and ≥10 (35 patients). The two groups demonstrated homogeneity in different socio-demographic factors. Stepwise regression analysis indicated that PLR, NLR, and MLR were not significantly associated with these variables. The scatterplot of PLR, NLR, and MLR on EPDS was stratified for EPDS groups. The Wilcoxon rank-sum test applied to PLR, NLR, and MLR values and EPDS groups did not reveal a statistical relationship. Additional analyses were conducted using the estimated odds ratios of the logistic regression model on EPDS groups, considering both continuous and binary values of indirect inflammatory markers (PLR, NLR, MLR). The results indicated the absence of a statistical relationship. LIMITATIONS: Our evaluation was restricted to the postpartum period, and data for the first and second trimesters of pregnancy are lacking. CONCLUSIONS: Our findings did not evidence a correlation between indirect inflammatory markers (NLR, PLR, and MPL) and PPD. This novel finding prompts further evaluation of the role of indirect inflammatory markers in PPD, highlighting the need for additional research to clarify the complex relationship between inflammation and psychological health in the postpartum period.

Is there a correlation between prepartum anaemia and an increased likelihood of developing postpartum depression? A prospective observational study.

PURPOSE: Postpartum depression (PPD) represents a significant challenge to maternal and child health. Early screening for PPD is essential to ensure appropriate treatment and support. The present study aimed to assess whether maternal prepartum anaemia influences the likelihood of developing PPD within 3 days after delivery. METHODS: In collaboration with the Department of Psychiatry, a prospective observational study was carried out at the Gynaecology and Obstetrics Department of the University of Campania "Luigi Vanvitelli" in Naples. A total of 211 full-term pregnant women were enrolled, and their predelivery haemoglobin value was recorded. Women with gestational diabetes, hypertension, pre-eclampsia, intrauterine growth restriction, intellectual disability, or pre-existing diagnosis of psychotic spectrum disorder were excluded. Participants provided written informed consent to fill out the Edinburgh Postnatal Depression Scale (EPDS) 3 days after delivery. EPDS cut-off score of ≥ 10 was used to identify women at risk of developing PPD. Statistical analysis was performed using Student's t test, the Wilcoxon Rank Sum test, and linear regression. RESULTS: The participants were categorized into 2 groups based on EPDS scores: EPDS < 10 (176 patients) or EPDS ≥ 10 (35 patients). The two groups showed homogeneity in terms of socio-demographic and clinical characteristics. The mean haemoglobin values of anaemic pregnant women in the EPDS ≤ 10 group (11.78 ± 1.39 g/dl) and the EPDS > 10 group (11.62 ± 1.27 g/dl) were not significantly different (p = 0.52). There was no significant correlation between the predelivery haemoglobin value and the EPDS postpartum score of < 10 or ≥ 10. The Wilcoxon Rank Sum test and the estimated coefficients of the linear regression model did not show any statistical relationship between continuous and binary haemoglobin values. CONCLUSIONS: Our study found that maternal prepartum anaemia did not negatively impact the likelihood of developing postpartum depressive symptoms, in the first 3 days after delivery.

Risk Factors for the Spread of Brucellosis in Sheep and Goats in the Campania Region in the Years 2015-2020.

Brucella is a Gram-negative facultative intracellular pathogen that causes infection in sheep and goats (B. melitensis.); B. melitensis can also infect other animals. Sheep and goat brucellosis is still present in some regions of Italy, including Campania, and causes considerable economic losses and health threats. The aim of this study was to evaluate the possible risk factors influencing the spread of brucellosis among sheep and goat farms in the Campania region in order to provide the local veterinary services with practical support in evaluating and planning diagnostic, preventive and control interventions. The results of official controls for brucellosis carried out from 2015 to 2020 in the sheep and goat farms of the Campania Region were analyzed. Data were extracted from the National Veterinary Information Systems and the Laboratory Management System of the Experimental Zooprophylactic Institute of Southern Italy. Statistical analysis was carried out through the software R version 4.1.0; the dataset consisted of 37,442 observations, and 9 qualitative and quantitative variables were evaluated on 8487 farms, 248 of which were positive. The association between covariates and the outcome (presence/absence of the disease) was evaluated (Fisher and Wilcoxon tests). A logistic regression model with mixed effects was carried out. This study confirmed that brucellosis in sheep and goats in the Campania region mostly occurs through contact with infected animals imported from other farms (OR = 3.41-IC 95% [1.82-6.41]). Farms with a greater number of animals were seen to be at the greatest risk of infection (OR = 1.04-IC 95% [1.03-1.05]); previous suspension of healthy status also proved to be a risk factor (OR = 55.8-IC 95% [26.7-117]).

CD39 and LDHA affects the prognostic role of NLR in metastatic melanoma patients treated with immunotherapy.

BACKGROUND: Identifying response markers is highly needed to guide the treatment strategy in patients with metastatic melanoma. METHODS: A retrospective study was carried out in patients with unresectable/metastatic melanoma (stage IIIb-IV), treated with anti-PD-1 in the first line setting, to better explore the role and the timing of neutrophil/lymphocyte ratio (NLR) as potential biomarker of response. The relationship of NLR with inflammation-immune mediators and the underlying negative effect of raising NLR during immunotherapy, have been investigated with transcriptomic gene analysis. RESULTS: The results confirmed previous findings that a high baseline NLR is associated with a poorer prognosis and with higher serum level of lactate dehydrogenase (LDH), regardless of the presence of brain metastases. The transcriptomic analysis showed that high baseline NLR is associated with a characteristic gene signature CCNA1, LDHA and IL18R1, which correlates with inflammation and tumorigenesis. Conversely, low baseline NLR is associated with the signature CD3, SH2D1A, ZAP70 and CD45RA, linked to the immune-activation. The genes positively associated with NLR (CD39 (ENTPD1), PTEN, MYD88, MMP9 and LDH) are involved in processes of immunosuppression, inflammation and tumor-promoting activity. Increased expression of CD39 correlated with TGFß2, a marker of the N2 neutrophils with immunosuppressive activity. CONCLUSIONS: These results suggest that increasing NLR is associated with an increased neutrophil population, with polarization to the N2 phenotype, and this process may be the basis for the negatively prognostic role of NLR.

Unsupervised Hierarchical Classification Approach for Imprecise Data in the Breast Cancer Detection.

(1) Background: in recent years, a lot of the research of statistical methods focused on the classification problem in presence of imprecise data. A particular case of imprecise data is the interval-valued data. Following this research line, in this work a new hierarchical classification technique for multivariate interval-valued data is suggested for diagnosis of the breast cancer; (2) Methods: an unsupervised hierarchical classification method for imprecise multivariate data (called HC-ID) is performed for diagnosis of breast cancer (i.e., to discriminate between benign or malignant masses) and the results have been compared with the conventional (unsupervised) hierarchical classification approach (HC); (3) Results: the application on real data shows that the HC-ID procedure performs better HC procedure in terms of accuracy (HC-ID = 0.80, HC = 0.66) and sensitivity (HC-ID = 0.61, HC = 0.08). In the results obtained by the usual procedure, there is a high degree of false-negative (i.e., benign cancer diagnosis in malignant status) affected by the high degree of variability (i.e., uncertainty) characterizing the worst data.

Early predictors of clinical deterioration in a cohort of outpatients with COVID-19 in southern Italy: A multicenter observational study.

Data regarding early predictors of clinical deterioration in patients with infection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is still scarce. The aim of the study is to identify early symptoms or signs that may be associated with severe coronavirus disease 2019 (COVID-19). We conducted a multicentre prospective cohort study on a cohort of patients with COVID-19 in home isolation from March 2020 to April 2021. We assessed longitudinal clinical data (fever, dyspnea, need for hospitalization) through video calls at three specific time points: the beginning of symptoms or the day of the first positivity of the nasopharyngeal swab for SARS-CoV-2-RNA (t0 ), and 3 (t3 ) and 7 (t7 ) days after the onset of symptoms. We included 329 patients with COVID-19: 182 (55.3%) males, mean age 53.4 ± 17.4 years, median Charlson comorbidity index (CCI) of 1 (0-3). Of the 329 patients enrolled, 171 (51.98%) had a mild, 81 (24.6%) a moderate, and 77 (23.4%) a severe illness; 151 (45.9%) were hospitalized. Compared to patients with mild COVID-19, moderate and severe patients were older (p < 0.001) and had more comorbidities, especially hypertension (p < 0.001) and cardiovascular diseases (p = 0.01). At t3 and t7 , we found a significant higher rate of persisting fever (≥37°C) among patients with moderate (91.4% and 58.0% at t3 and t7 , respectively; p < 0.001) and severe outcome (75.3% and 63.6%, respectively; p < 0.001) compared to mild COVID-19 outcome (27.5% and 11.7%, respectively; p < 0.001). Factors independently associated with a more severe outcome were persisting fever at t3 and t7 , increasing age, and CCI above 2 points. Persisting fever at t3 and t7 seems to be related to a more severe COVID-19. This data may be useful to assess hospitalization criteria and optimize the use of resources in the outpatient setting.

Modeling for the Stringency of Lock-Down Policies: Effects of Macroeconomic and Healthcare Variables in Response to the COVID-19 Pandemic.

Background: The spread of COVID-19 has been characterized by unprecedented global lock-downs. Although, the extent of containment policies cannot be explained only through epidemic data. Previous studies already focused on the relationship between the economy and healthcare, focusing on the impact of diseases in countries with a precarious economic situation. However, the pandemic caused by SARS-CoV-2 drew most countries of the world into a precarious economic situation mostly caused by the global and local lock-downs policies. Methods: A discriminant analysis performed via partial least squares procedure was applied to evaluate the impact of economic and healthcare variables on the containment measures adopted by 39 countries. To collect the input variables (macroeconomic, healthcare, and medical services), we relied on official databases of international organizations, such as The World Bank and WHO. Results: The stringency lock-down policies could not only be influenced by the epidemical data, but also by previous features of the selected countries, such as economic and healthcare conditions. Conclusions: Indeed, economic and healthcare variables also contributed to shaping the implemented lock-down policies.

Machine learning in neuro-oncology: toward novel development fields.

PURPOSE: Artificial Intelligence (AI) involves several and different techniques able to elaborate a large amount of data responding to a specific planned outcome. There are several possible applications of this technology in neuro-oncology. METHODS: We reviewed, according to PRISMA guidelines, available studies adopting AI in different fields of neuro-oncology including neuro-radiology, pathology, surgery, radiation therapy, and systemic treatments. RESULTS: Neuro-radiology presented the major number of studies assessing AI. However, this technology is being successfully tested also in other operative settings including surgery and radiation therapy. In this context, AI shows to significantly reduce resources and costs maintaining an elevated qualitative standard. Pathological diagnosis and development of novel systemic treatments are other two fields in which AI showed promising preliminary data. CONCLUSION: It is likely that AI will be quickly included in some aspects of daily clinical practice. Possible applications of these techniques are impressive and cover all aspects of neuro-oncology.