Epidemiology and clinical correlates of hidradenitis suppurativa in primary care in Italy.

BACKGROUND: Hidradenitis suppurativa (HS) is a persistent skin disorder that is characterized by painful lesions or pus-filled lumps, mostly occurring in areas where the skin flexes. It is a disfiguring condition that significantly reduces the quality of life of those affected. Developing new, effective treatments for HS is crucial, but it is important that it be recognized and diagnosed early, especially in primary care settings. OBJECTIVES: To assess the epidemiology and clinical correlates of HS in a primary care setting. The study utilized the Italian Health Search Database (HSD). A case-control design was adopted to investigate the clinical correlates of HS. Cases were classified as either "definite" or "probable" using an operational algorithm. Up to 10 controls were matched to each case based on factors such as calendar period, age, sex, and duration of follow-up. RESULTS: Cumulative prevalence of HS increased from 0.06% in 2002 to 0.46% in 2021. When only "definite" cases were considered, the prevalence was almost 10 times lower (0%-0.02%). Several clinical correlates were found to be positively associated with HS, including obesity, dyslipidemia, hypertension, autoimmune/inflammatory diseases, and depression. CONCLUSIONS: This study found that correct diagnoses of HS were made, as demonstrated by the expected relationship with clinical correlates. These associations were consistent when probable cases were included in the analysis. This evidence could serve as a foundation for proposing a decision support system for general practitioners to help identify HS in individuals with certain coexisting conditions.

The study investigated hidradenitis suppurativa (HS) in a primary care setting using the Italian Health Search Database. It found an increasing trend in HS prevalence from 2002 to 2021. Associations were observed between HS and conditions like obesity, dyslipidemia, hypertension, autoimmune/inflammatory diseases, and depression. Despite potential under-recognition by Italian GPs, accurately diagnosed cases showed expected relationships with these clinical factors. The study highlights the importance of better recognition of HS in primary care, suggesting the development for a decision support system to aid GPs in early identification of HS based on associated patient's conditions.

Declining number of general practitioners can impair influenza vaccination uptake among Italian older adults: Results from a panel analysis.

BACKGROUND: Seasonal influenza vaccination coverage in Italian older adults is insufficient and well below the minimum target of 75%. In Italy, most influenza vaccine doses are administered by general practitioners (GPs), whose number has been declining. In parallel, the number of patients per GP and GP workload increased dramatically, which theoretically may impair vaccination counselling. In this ecological study, we aimed to assess whether influenza vaccination coverage in older adults is associated with the density of GPs having high number of patients. METHODS: The study outcome was the influenza vaccination coverage rate in adults aged ≥ 65 years and registered in 20 Italian regions over the last 23 years. The independent variable of interest was the proportion of GPs with more than 1,500 adult patients, which is an imposed normative ceiling. This latter variable was considered as a proxy of GP overload. By adopting a panel regression approach, different specifications of fixed- and random-effects models were run to assess the association of interest, when adjusted for several social structural, economic and healthcare-related variables. RESULTS: Over the last two decades, most regions showed a negative association between influenza vaccination coverage rates and the density of GPs with a high number of patients. This latter negative association was confirmed (P < 0.05) in different panel model specifications. In particular, in the fully adjusted two-way fixed-effects model, each 10% increase in the number of GPs with more than 1,500 patients was associated with a 1.7% decrease in influenza vaccination coverage. However, this association was present only in region-years where at least 18% of GPs were deemed overloaded. CONCLUSIONS: In the upcoming years, the number of Italian GPs is projected to decline further. At the same time, the aging Italian population will determine an even greater workload for GPs. This study demonstrated that increased GP workload may partially explain the spatiotemporal variation in influenza vaccination uptake in the Italian elderly. With the imperative of increasing or at least maintaining influenza vaccination coverage rates, several short- and mid-term initiatives should be implemented in order to optimize GP workload during seasonal immunization campaigns.

Supporting vaccine (co)-administration decisions: Development and validation of a tool for assessing the risk of severe outcomes due to lower respiratory tract infections.

OBJECTIVE: To develop and validate a score to predict the 90-day risk of hospitalization/death in patients with low respiratory tract infections (LRTIs) with the aim to support clinical decision making on vaccine (co)-administration. METHODS: We formed a cohort of patients aged 18 years or older being diagnosed with LRTIs in the period between January 1, 2012 and December 31, 2022. Each patient was followed until occurrence of respiratory-related hospitalization/death up to the end of the study period (December 31, 2022). Along with age and sex, forty determinants were adopted to assemble the respiratory tract infection (RTI)-Health Search (HS) core using the development sub-cohort. The prediction accuracy of the score was therefore assessed in the validation sub-cohort. RESULTS: We identified 252,319 patients being diagnosed with LRTIs (females: 54.7 %; mean age: 60 (SD:18.1)). When the risk of LRTIs-related hospitalizations/deaths was estimated via RTI-HScore, its predicted value was equal to 1.4 % over a 90-day event horizon. The score showed explained variation and discrimination accuracy were equal to 45 % (95 % CI: 44-47 %) and 81 % (95 % CI: 79-84 %), respectively. The calibration slope did not significantly differ from the unit (p = 0.8314). CONCLUSIONS: The RTI-HScore was featured by good accuracy for prediction of LRTIs-related complications over a 90-day follow-up. Such a tool might therefore support general practitioners to enhance patients' care by facilitating approaches for (co)-administration of vaccines for respiratory infections through a score-based decision support system.

Development and validation of a predictive score for diagnosing prostate cancer in primary care.

BACKGROUND: Prostate cancer (PCa) represents the fifth cause of death in the male population worldwide. The prostate-specific antigen (PSA) test demonstrated poor accuracy to assess the presence of PCa. Thus, the PSA testing paradigm should be moved from the systematic screening approach to the early identification of men who are harbouring clinically significant disease. Accurate clinical-based tools to predict PCa should therefore be developed for general practice. We derived and validated a PCa predictive score using a primary care data source. METHODS: Using the Italian Health Search Database, we formed a cohort of men aged 45-90 years in the period between 2002 and 2015. These patients were followed up until 31 December 2022. Those with less than a 5-year follow-up were excluded. The cohort was randomly divided into 'derivation' and 'validation' samples in a 1:1 ratio. Along with the demographic and clinical determinants forming the score, we investigated the role of PSA kinetics in the prediction accuracy. RESULTS: In a cohort of 529,082 men aged 45+ years, we identified 14,524 cases of PCa (incidence rate = 2.71 per 1000 person-years; 95% confidence interval = 2.67-2.80). The prediction accuracy of the PCa-HScore featured an explained variation of 12% and a discrimination power of 70%. The calibration slope was almost equal to 1 (p = 0.951, tested for equivalence against the 'perfect' slope) and the PSA kinetics did not improve the prediction accuracy. CONCLUSIONS: The PCa-HScore might guide the prescription of PSA and/or other clinical strategies in those men reporting certain levels of risk. A related decision support system could therefore be implemented in primary care.

The use of C-reactive protein testing and antibiotic prescribing in Italy: A population-based study in primary care.

Testing serum C-reactive protein (CRP) levels can help determine whether there is a need for antibiotics and can limit prescribing of antibiotics for illnesses that are likely viral or non-infectious in origin. Using Health Search, an Italian primary care database, we identified all patients, aged 15 years or older, being registered in the period between 1 January 2000 and 31 December 2019 and newly diagnosed with upper respiratory tract infections (URTIs) or COPD- or asthma-related exacerbations. From the date of these diagnoses, patients were followed up until occurrence of antibiotic prescription (for these indications) up to 31 December 2019. The association between the CRP testing and the outcome was investigated using a nested case-control analysis. In a cohort of 469 684 patients being diagnosed for URTI (83%), COPD- (11%) and asthma (7%)-related exacerbations, 28 688 (6.11%) were prescribed with antibiotics because of the aforementioned indications. Of note, 98% of cases, nominally those prescribed with antibiotics, were not tested with CRP. However, those receiving antibiotics were more likely to have been previously tested for CRP than controls who did not receive antibiotics (833/28 601 [3%] and 4128/277 968 [1.5%]; OR 2.0 [95% CI: 1.8-2.1]). Our findings indicate that most of the antibiotic prescriptions for the investigated conditions were given without any prior CRP testing. A small minority of GPs did properly use CRP to determine whether antibiotics were needed. Further guidance is needed in Italy on the use of CRP in guiding antibiotic prescribing in primary care.

Chronic Kidney Disease Eligible for SGLT2 Inhibitors Through the Integration of Italian Administrative and Primary Care Data.

Background. Patients with chronic kidney disease (CKD) can be successfully treated with sodium-glucose cotransporter-2 inhibitors (SGLT2-Is), regardless of diabetes. Fondazione Ricerca e Salute's (ReSD) administrative and Health Search's (HSD) primary care databases were combined in the Database Consortium ReS-HS to quantify and describe patients with CKD potentially eligible for SGLT2-Is and assess costs charged to the Italian National Health Service (SSN). Methods. Patients aged ≥18 with CKD and estimated glomerular filtration rate (eGFR) <60 ml/min in 2018, without dialysis and/or renal transplantation, were included. HSD was used to develop and validate algorithms for estimating eGFR, based on covariates, within the ReSD. Comorbidities, dispensed drugs, and direct healthcare costs were assessed. Results. In 2018, 66,297 (5.0% of HSD population) and 211,494 (4.4% of ReSD population) patients with CKD potentially eligible for SGLT2-Is were identified (females ≥58%). Prevalence increased with age with a peak at 75-84 years. Within HSD and ReSD cohorts, respectively: 31.0% and 41.5% had diabetes; in the observation periods, >82% and >96% received ≥1 pharmacological treatment, of which ≥50% and ≥25% received cardiovascular/blood agents and antidiabetics, respectively. From ReSD, mean per capita direct SSN cost was € 3,825 (CI 95%, € 3,655-€ 4,000): 50.1% due to hospitalizations, and 40.2% to pharmaceuticals (31.6% to cardiovascular drugs and 10.1% to antidiabetics). Conclusion. The Database Consortium ReS-HS methodology found 5% of adult SSN beneficiaries with CKD potentially eligible for SGLT2-Is bringing with them a high cardio-metabolic burden which increases the risk of CKD progression.

Development and validation of a score assessing the risk of severe asthma in primary care.

OBJECTIVE: To develop and validate the Asthma Severity-Health Search (AS-HScore), predicting severe asthma risk in Italian primary care. According to the current asthma treatment guidelines, the AS-HScore intended to serve as a clinical decision support system (CDSS) for General Practitioners (GPs). METHODS: Using the Health Search Database (HSD), a cohort of 32,917 asthma-diagnosed patients between 2013 and 2021 was identified. The AS-HScore was developed using multivariable Cox regression in a two-part cohort: development and validation. Candidate determinants were estimated and linearly combined to form the score; its predictive accuracy was evaluated in the validation sub-cohort. RESULTS: AS-HScore performance in the validation cohort revealed a 73% area under the curve (i.e. discrimination power) and a 22% pseudo-R2 (explained variation). Calibration slope of 1.07 indicated strong calibration without rejecting the equivalence hypothesis (p = 0.157). Estimating a mean 10% (SD: 6.8%) 1-year risk of severe asthma, GPs might be provided with risk thresholds for patient categorization. CONCLUSION: The AS-HScore emerges as an accurate tool predicting severe asthma risk in the Italian primary care. It therefore shows promising application to enhance asthma care by early identification of severe cases. Implementing a score-based CDSS for Italian GPs holds potential for significantly improving asthma management and patients' outcomes.

Temporal validation of a Generalized Additive2 Model (GA2M) to assess the risk of Chronic Kidney Disease (CKD).

OBJECTIVE: To assess the temporal validity of a model predicting the risk of Chronic Kidney Disease (CKD) using Generalized Additive2 Models (GA2M). MATERIALS: We adopted the Italian Health Search Database (HSD) with which the original algorithm was developed and validated by comparing different machine learnings models. METHODS: We selected all patients aged >=15 being active in HSD in 2019. They were followed up until December 2022 so being updated with three years of data collection. Those with prior diagnosis of CKD were excluded. A GA2M-based algorithm for CKD prediction was applied to this cohort in order to compare observed and predicted risk. Area Under Curve (AUC) and Average Precision (AP) were calculated. RESULTS: We obtained an AUC and AP equal to 88% and 30%, respectively. DISCUSSION: The prediction accuracy of the algorithm was largely consistent with that obtained in our prior work which was based on a different time-window for data collection. We therefore underlined and demonstrated the relevance of temporal validation for this prediction tool. CONCLUSION: The GA2M confirmed its high accuracy in prediction of CKD. As such, the respective patient- and population-based informatic tools might be implemented in primary care.

Development and validation of a prediction score to assess the risk of incurring in COPD-related exacerbations: a population-based study in primary care.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the fourth most important cause of death in high-income countries. Inappropriate use of COPD inhaled therapy, including the low adherence (only 10 %-40 % of patients reporting an adequate compliance) may shrink or even nullify the proven benefits of these medications. As such, an accurate prediction algorithm to assess at national level the risk of COPD exacerbation might be relevant for general practictioners (GPs) to improve patient's therapy. METHODS: We formed a cohort of patients aged 45 years or older being diagnosed with COPD in the period between January 2013 to December 2021. Each patient was followed until occurrence of COPD exacerbation up to the end of 2021. Sixteen determinants were adopted to assemble the CopdEX(CEX)-Health Search(HS)core, which was therefore developed and validated through the related two sub-cohorts. RESULTS: We idenfied 63763 patients aged 45 years or older being diagnosed with COPD (mean age: 67.8 (SD:11.7); 57.7 % males).When the risk of COPD exacerbation was estimated via CEX-HScore, its predicted value was equal to 14.22 % over a 6-month event horizon. Discrimination accuracy and explained variation were equal to 66 % (95 % CI: 65-67 %) and 10 % (95 % CI: 9-11 %), respectively. The calibration slope did not significantly differ from the unit (p = 0.514). CONCLUSIONS: The CEX-HScore was featured by fair accuracy for prediction of COPD-related exacerbations over a 6-month follow-up. Such a tool might therefore support GPs to enhance COPD patients' care, and improve their outcomes by facilitating personalized approaches through a score-based decision support system.

A Vulnerability Index to Assess the Risk of SARS-CoV-2-Related Hospitalization/Death: Urgent Need for an Update after Diffusion of Anti-COVID Vaccines.

Background: There are algorithms to predict the risk of SARS-CoV-2-related complications. Given the spread of anti-COVID vaccination, which sensibly modified the burden of risk of the infection, these tools need to be re-calibrated. Therefore, we updated our vulnerability index, namely, the Health Search (HS)-CoVulnerabiltyIndex (VI)d (HS-CoVId), to predict the risk of SARS-CoV-2-related hospitalization/death in the primary care setting. Methods: We formed a cohort of individuals aged ≥15 years and diagnosed with COVID-19 between 1 January and 31 December 2021 in the HSD. The date of COVID-19 diagnosis was the study index date. These patients were eligible if they had received an anti-COVID vaccine at least 15 days before the index date. Patients were followed up from the index date until one of the following events, whichever came first: COVID-19-related hospitalization/death (event date), end of registration with their GPs, and end of the study period (31 December 2022). To calculate the incidence rate of COVID-19-related hospitalization/death, a patient-specific score was derived through linear combination of the coefficients stemming from a multivariate Cox regression model. Its prediction performance was evaluated by obtaining explained variation, discrimination, and calibration measures. Results: We identified 2192 patients who had received an anti-COVID vaccine from 1 January to 31 December 2021. With this cohort, we re-calibrated the HS-CoVId by calculating optimism-corrected pseudo-R2, AUC, and calibration slope. The final model reported a good predictive performance by explaining 58% (95% CI: 48-71%) of variation in the occurrence of hospitalizations/deaths, the AUC was 83 (95% CI: 77-93%), and the calibration slope did not reject the equivalence hypothesis (p-value = 0.904). Conclusions: Two versions of HS-CoVId need to be differentially adopted to assess the risk of COVID-19-related complications among vaccinated and unvaccinated subjects. Therefore, this functionality should be operationalized in related patient- and population-based informatic tools intended for general practitioners.

The burden of recurrent respiratory tract infections in adult population: a population-based study in primary care.

BACKGROUND: Viral infections are the main original cause of recurrent respiratory tract infections (RRTIs), but their complications and recurrences are due to bacteria as well. While some operational definitions and epidemiology of RRTIs are reported in paediatrics, no similar definitions have been proposed for adults. AIM: To assess the epidemiology and characteristics of RRTIs in the adult population. DESIGN AND SETTING: Cohort study in the primary care setting. METHODS: Using the Health Search Database, we selected a cohort of patients aged 18 years or older between 2002 and 2022. Yearly, we counted upper and lower respiratory tract infections (RTIs) per patient. We investigated 2 cut-offs defining RRTIs, nominally 3+ RRTIs/patient/year or greater than the mean value of RTIs/patient/year. The associations between these two event definitions and the correlates defining the patients' vulnerability were assessed by estimating a logistic regression model. RESULTS: Over the study years, the mean number of RTIs/patient/year ranged from 0.07-0.16 or 1.10-1.13 events, when the denominator was formed by the overall population or those diagnosed with RTIs, respectively. When the analysis was focussed on 2022, we obtained 0.2% (1.3% among those with RTIs) or 13% (11.3% among those with RTIs) cases of RRTIs, using a cut-off of 3+ or >=0.16 events (mean value/patient), respectively. Consistent associations were found for these two operational definitions and the investigated clinical correlates. CONCLUSION: We provided evidence on the epidemiology and concurrent/predisposing factors of RRTIs in adults. These data should support health authorities and general practitioners for the application of the most appropriate preventive and/or treatment strategies.

Development and validation of a prediction score to assess the risk of depression in primary care.

BACKGROUND: Major depression is the most frequent psychiatric disorder and primary care is a crucial setting for its early recognition. This study aimed to develop and validate the DEP-HScore as a tool to predict depression risk in primary care and increase awareness and investigation of this condition among General Practitioners (GPs). METHODS: The DEP-HScore was developed using data from the Italian Health Search Database (HSD). A cohort of 903,748 patients aged 18 years or older was selected and followed until the occurrence of depression, death or end of data availability (December 2019). Demographics, somatic signs/symptoms and psychiatric/medical comorbidities were entered in a multivariate Cox regression to predict the occurrence of depression. The coefficients formed the DEP-HScore for individual patients. Explained variance (pseudo-R2), discrimination (AUC) and calibration (slope estimating predicted-observed risk relationship) assessed the prediction accuracy. RESULTS: The DEP-HScore explained 18.1 % of the variation in occurrence of depression and the discrimination value was equal to 67 %. With an event horizon of three months, the slope and intercept were not significantly different from the ideal calibration. LIMITATIONS: The DEP-HScore has not been tested in other settings. Furthermore, the model was characterized by limited calibration performance when the risk of depression was estimated at the 1-year follow-up. CONCLUSIONS: The DEP-HScore is reliable tool that could be implemented in primary care settings to evaluate the risk of depression, thus enabling prompt and suitable investigations to verify the presence of this condition.

How to support general practitioners to better detect sarcopenia among older adults: a nested case-control analysis.

PURPOSE: This study explores correlations of sarcopenia and its proxies, such as history of falls, asthenia, and ambulation issues, with frailty levels among older adults in primary care. METHODS: In a cohort of 546,590 patients aged 60 years or older, "definite" sarcopenia cases were operationally defined through the use of non-specific diagnostic codes coupled with inspection of free-texts. Proxies of sarcopenia, such as falls history, asthenia, and ambulation issues were considered as well. Frailty was calculated using an Index intended to primary care. RESULTS: Overall, 171 definite sarcopenia cases were found, rising to 51,520 cases when including proxies (9.4% prevalence). There was a significant association between severe frailty and increased odds of sarcopenia, consistently observed across different event definitions. CONCLUSIONS: Sarcopenia was strongly associated with severe frailty in primary care. The history of falls, asthenia, and ambulation issues were reliable proxies to raise the suspect of sarcopenia. Improved strategies for sarcopenia detection, focusing on specific indicators within severely frail individuals, are warranted.

Time-varying association between herpes zoster infection and subsequent occurrence of stroke.

OBJECTIVES: The aim of this study was to investigate the shape of the time-varying relationship between herpes zoster infection, nominally shingles, and the occurrence of stroke. STUDY DESIGN: Retrospective cohort study. METHODS: Using the Italian Health Search Database, a cohort of patients aged ≥18 years who were registered between 2002 and 2021 was selected. In this cohort, a nested case-control analysis was used to model the time-varying distance (in months) between the dates of shingles and post-herpetic stroke, using a regression cubic spline, based on the odds of the occurrence of stroke compared with those without shingles. RESULTS: The dataset comprised 42,513 cases (51.1% males; mean age [stanndard deviation {SD}]: 71.0 [11.8] years) and 425,124 related controls (51.1% males; mean age [SD]: 70.9 [12] years). In the first 12 months following shingles diagnosis, a rapid increase in the risk of stroke was observed, reaching an odds ratio of 1.31 (95% confidence interval: 1.21-1.41); subsequently, there was some risk reduction and a new symmetric increase within the first 4.2 years of follow-up, thus shaping a bimodal distribution. Then, a new increase in the stroke risk was reported, although less steep, which was followed by a regular risk reduction (still 10% higher compared with those without shingles), resulting in a right-skewed relationship between the time from the shingles diagnosis and the occurrence of stroke. This association was no longer statistically significant 13.1 years after shingles diagnosis. CONCLUSIONS: This study demonstrated that the risk of post-herpetic stroke has a short- and long-term association according to a risk continuum relationship. These findings confirm the relevance of vaccination coverage for herpes zoster.

Examining the effectiveness and duration of adjuvanted vs. non-adjuvanted influenza vaccines in protecting older adults against symptomatic SARS-CoV-2 infection.

Annual influenza vaccination is one of the main public health measures able to drastically reduce the burden of this infectious disease. Some evidence suggests 'trained immunity' triggered by influenza vaccine might reduce the risk of SARS-CoV-2 infection. Adjuvanted influenza vaccines are known to induce a broader cross-reactive immunity. No studies investigated the effect of adjuvanted vs. non-adjuvanted influenza vaccines on the risk of symptomatic SARS-CoV-2 infection. A case-control analysis nested in a cohort of subjects aged ≥65 years and immunized with adjuvanted or non-adjuvanted influenza vaccines was conducted. Although no statistically significant (OR = 0.87; P = .082) difference between the two vaccine types was observed for the 9-month follow-up period, a 17% (OR = 0.83; P = .042) reduction in the odds of COVID-19 was observed for adjuvanted vaccines with a 6-month follow-up. Further evidence is needed, but these results might have implications given the complexity of the upcoming winter seasons, in which the co-occurrence of influenza, SARS-CoV-2 and other respiratory infections (e.g., syncytial virus) might be unpredictable.

Time lapses between distribution of influenza vaccines to health authorities and their administration by General Practitioners (GPs) to older adults: a retrospective study over five influenza seasons in Italy.

BACKGROUND: Delays in influenza vaccine delivery and administration can hinder vaccine coverage and protection. This study examines the differentials in distributing and administering adjuvanted trivalent (aTIV) and quadrivalent influenza vaccines (aQIV) to older adults in Italy's primary care setting and its potential impact on hospitalization risk over 5 epidemic seasons. METHODS: Using a primary care database, individuals aged ≥ 65 years were selected. The proportion of vaccine distribution to regional authorities and subsequent administration by GPs was estimated using census data. Using quantile (median) regression, we examined the relationship between velocities of vaccine distribution and administration (doses/week) and the incidence of hospitalizations. RESULTS: Over the 5 influenza seasons, the velocity of distribution and administration of aTIV/aQIV ranged 341-833 and 152-270 median doses/week; no trend was yielded for the difference between these velocities (p = 0.189) or vaccine coverage (p = 0.142). An association was observed for each differential dose/week between distributed and administered vaccines and all-cause hospitalizations with a 10% increase in 2017-2018, 54% in 2018-2019, and 12% in 2020-2021 season. CONCLUSIONS: These findings highlight the importance of minimizing the time lapse between vaccine distribution and administration to mitigate the impact of influenza and address factors that contribute to vaccination barriers.

To retrieve values of albuminuria to define the size of CKD patients eligible to SGLT-2Is: An explorative analysis using a primary care database.

PURPOSE: To address missingness of albuminuria values, which establish the eligibility to SGLT-2Is for patients with CKD, using the multiple imputation (MI) method. METHODS: We selected patients aged 18 or older and diagnosed with CKD in a primary care database. Those with severe CKD and/or previously treated with SGLT-2Is were excluded. Then, we collected all available information on albuminuria within 90 days the measure of GFR. A value of albumin-creatinine ratio (ACR) ranging 200-5000 mg/g or otherwise was the response variable on which we ran MI. Using logistic regression, odds ratios (OR) and related 95% confidence intervals (CI) were estimated for each covariate toward the response variable for both full and imputed dataset. RESULTS: The determinants showed consistent estimates between the full and imputed datasets as demonstrated by the overlaps of the CIs and the similar point estimates. As expected, there were some exceptions, such as diabetes (OR of 1.2 vs. 0.5) and use of diabetic medications (OR of 1.0 vs. 2.1) and/or statins (OR of 1.1 vs. 1.8). CONCLUSIONS: Besides being a reminder for GPs to prescribe and register albuminuria in certain patients' categories, these determinants might be translated into an operational algorithm to input ACR values in administrative data sources. Scenarios for the reimbursement criteria regulating SGLT-2Is to treat CKD would be therefore simulated on more inferable estimates.

Epidemiology of pediatric psoriasis: a population-based study using two Italian data sources.

BACKGROUND: Psoriasis can be associated with certain comorbidities. This information is important for family pediatricians (FPs) and general practitioners (GPs) who have a key role in the identification and management of skin diseases. This study aimed to assess the incidence and prevalence rates of pediatrics psoriasis and its association with specific comorbidities. METHODS: A retrospective cohort study was performed in patients aged less than 18 years registered in two Italian primary care databases (Pedianet and HSD) between 2015 and 2019. Prevalence and incidence of psoriasis were estimated, and a case-control design was adopted to assess specific comorbidities in psoriasis patients. RESULTS: The annual prevalence rate of psoriasis was 0.2% in Pedianet and between 0.5% and 0.7% in HSD. The incidence rate ranged from 0.47 to 0.58 and from 1.3 to 1.77 per 1000 person-years in Pedianet and HSD, respectively. Allergic rhinitis, asthma, celiac disease, other malabsorption disease and non-infective cutaneous diseases showed a statistically significant association with psoriasis in Pedianet, while no statistically significant difference was found in HSD. CONCLUSION: Given the FP-GP transition of patients, there is a need for accurate registration of clinical correlates, enabling GPs to implement strategies to minimize the lifetime risk of psoriatic progression.

[Severe Covid-19: to recognize subjects at risk, from the territory to specialist services.] / Covid-19 severo: riconoscere i soggetti a rischio, dal territorio ai servizi specialistici.

During the Covid-19 pandemic, territorial services and general practitioners in particular played a central role in identifying suspected cases and contact tracing. Vulnerability criteria were defined to identify patients at risk of developing severe forms of infection, which were later used to direct patients towards appropriate mitigation measures and prioritize access to vaccinations. The identification of individuals at risk of severe Covid-19 remains crucial, especially for particularly vulnerable patients with oncohematological and cardiovascular conditions, who require specific preventive and therapeutic strategies.