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Recent successful findings (i.e. DAPA-HF trial) in patients with heart failure (HF) with/without diabetes treated with sodium-glucose co-transporter inhibitors (SGLT2-I) have fostered real-world data analyses. Fondazione Ricerca e Salute's (ReSD) administrative and Health Search's (HSD) primary healthcare databases were combined in the ReS-HS DB Consortium, to identify and characterize HF-patients eligible to SGLT2-I, and assess their costs charged to the Italian National Health Service (INHS).Eligibility to SGLT2-I was HF diagnosis, age ≥ 18 years, reduced (≤40%) ejection fraction (HFrEF) and glomerular filtration rate (GFR) ≥30 ml/min. The HSD, including 13,313 HF-patients (1.5% of the total HSD population) was used to develop and test the algorithms for imputing HFrEF and GFR ≥ 30 ml/min, based on a set of covariates, to the ReSD, including 67,369 (1.5% of the total ReSD population). Subjects eligible to SGLT2-I were 2187 in HSD (61.1% of HFrEF); after the imputation, 15,145 in ReSD (58.8% of HFrEF). Prevalence of eligibility to SGLT2-I was higher in males then in females and increased with age; diabetic patients were 44.3% and 33.4% of HSD and ReSD populations eligible to SGLT2-I, respectively. Estimated from ReSD, the mean annual cost charged to the INHS per patient with HF eligible to SGLT2-I was €7122 (68% due to hospitalizations).Approximately 20% of patients with HF was eligible to SGLT2-I. Real-world data can identify, quantify and characterize patients eligible to SGLT2-Is and assess related costs for the health care system, thus providing useful information to Regulatory Decision makers.

In 2020, the restrictions adopted to control the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic led to an unprecedented reduction in influenza-related burden. As such, the reduced chance to characterize the circulating virus strains might have increased the risk of vaccine mismatch for the forthcoming winter seasons. The role of an effective influenza vaccination campaign might therefore assume even more value, especially for frail and multimorbid older individuals. Methodological concerns on confounding by indication are always debated in vaccine effectiveness studies and it might be instrumental to give a pragmatic message on an individual's responsibility to receive the influenza vaccine. We therefore investigated the role of specific confounders to explain the association between influenza vaccine and mortality among older adults.Using a primary care database, we formed a cohort of patients aged 65 years or older who were actively registered with their general practitioner (GP) at the beginning of each of nine influenza seasons through to the 2018/2019 season. The study index date was the related seasons' starting date. Exposure to the influenza vaccine was operationally defined in the 2 months preceding the index date up to 2 weeks before the exit date. Cox regression models were estimated to calculate hazard ratios (HRs) and their 95% confidence intervals (CI) of death between vaccinated and unvaccinated patients in a time-dependent fashion. The potential confounders sequentially entered the model based on their increasing effect size observed in univariate analyses.Over the 10 years under study, the influenza vaccine showed a significant protective effect in terms of mortality, reaching 13% reduction (HR 0.87, 95% CI 0.80-0.95) in the 2018/2019 influenza season. When we estimated the multivariate model by sequentially adding the potential confounders, there was an inversion of HR (below the unit) that was significantly explained by the covariates coding for a prior history of lower respiratory tract infections and the presence of the pneumococcal vaccine.In the current pandemic scenario, we cannot divert attention to proper use of face masks, social distancing, and hand hygiene, which are important measures to prevent influenza and other respiratory viral infections. Nonetheless, their effectiveness might be negligible without acceptable coverage for influenza vaccine, especially in older patients with a history of lower respiratory tract infections, which appears to be the main source of confounding by indication.

The aim of this study was to estimate primary care costs of prodromal signs/symptoms of Alzheimer disease (AD), during a 10-year or longer period preceding AD diagnosis, in relation to costs cumulated in the general population for the same reasons. Nested case-control study involving 1889 AD cases and 18,890 controls aged 60+ from the Italian primary care Health Search Database (HSD). AD incident cases were through the International Classification of Diseases, 9th edition. Costs related to drugs, diagnostic tests and specialist referrals triggered by prodromal AD signs and/or symptoms were quantified and compared with costs cumulated by non-AD counterparts. During the pre-diagnosis 10-year or longer period, prodromal signs and symptoms trigger diagnostic and therapeutic costs 55% higher than those cumulated in general population for the same clinical reasons. After accounting for patients’ comorbidity and regional differences, the mean cost related to diagnostic and therapeutic procedures, and those related to specialist referrals, amounted to 854.1 €(SD: 630.6 €) in AD incident cases vs. 527.3 €(SD: 446.2) cumulated in patients not developing AD. Prodromal AD manifestations are associated with primary care costs that resulted higher than those cumulated in the general population aged 60+. It remains to be elucidated if earlier dementia diagnoses would be associated with reduced costs triggered by the same clinical signs and symptoms.

General practitioners (GPs) need a valid, user-friendly tool to identify patients most vulnerable to COVID-19, especially in the hypothesis of a booster vaccine dose. The aim of this study was to develop and validate a GP-friendly prognostic index able to forecast severe COVID-19 outcomes in primary care. Indeed, no such prognostic score is as yet available in Italy.In this retrospective cohort study, a representative sample of 47,868 Italian adults were followed up for 129,000 person-months. The study outcome was COVID-19-related hospitalization and/or death. Candidate predictors were chosen on the basis of systematic evidence and current recommendations. The model was calibrated by using Cox regression. Both internal and external validations were performed.Age, sex and several clinical characteristics were significantly associated with severe outcomes. The final multivariable model explained 60% (95%CI 58-63%) of variance for COVID-19-related hospitalizations and/or deaths. The area under the receiver-operator curve (AUC) was 84% (95% CI: 83-85%). On applying the index to an external cohort, the AUC was 94% (95% CI: 93-95%).This index is a reliable prognostic tool that can help GPs to prioritize their patients for preventive and therapeutic interventions.

This study aimed to compare the prescribing patterns of paracetamol in COVID-19 with those for similar respiratory conditions and investigated the association between paracetamol use and COVID-19-related hospitalization/death.Using a primary care data source, we conducted a cohort study to calculate the incidence rate of paracetamol use in COVID-19 and for similar respiratory conditions in 2020 and 2019 (i.e. pre-pandemic phase), respectively. In the study cohort, we nested a case-control analyses to investigate the association between paracetamol use and COVID-19-related hospitalizations/deaths.Overall, 1554 (33.4 per 1000) and 2566 patients (78.3 per 1000) were newly prescribed with paracetamol to treat COVID-19 or other respiratory conditions, respectively. Those aged 35-44 showed the highest prevalence rate (44.7 or 99.0 per 1000), while the oldest category reported the lowest value (17.8 or 39.8 per 1000). There was no association for early (OR = 1.15; 95% CI: 0.92-1.43) or mid-term (OR = 1.29; 95% CI: 0.61-2.73) users of paracetamol vs. non-users. Instead, the late users of paracetamol showed a statistically significant increased risk of hospitalization/death (OR = 1.75; 95% CI: 1.4-2.2).Our findings provide reassuring evidence on the use and safety profile of paracetamol to treat early symptoms of COVID-19 as in other respiratory infections.

Background & aims This study aimed to assess the demographic and clinical determinants of liver complications in Hepatitis C virus (HCV)-positive patients in primary care setting. Methods Using the Health Search database, we selected a cohort of patients aged ≥14 being diagnosed with HCV between 2002 and 2017. Patients were followed up until the occurrence of cirrhosis and other disease progressions such as esophageal varices, hepatocellular carcinoma, and/or liver transplantation. The candidate determinants for the risk of HCV-related complications included sex, age, smoking status, liver fibrosis (measured by fibrosis 4 index (FIB-4)), infections by the human immunodeficiency virus (HIV), hepatitis B virus (HBV), other forms of hepatitis, abuse of alcohol or of illicit substances or drugs, obesity, metabolic syndrome, diabetes mellitus and renal disease. Cox regression was used to test the association between candidate determinants and the outcome. Results The cohort included 8,299 HCV-positive patients (50.93% men) with an overall prevalence rate equal to 0.61%. At least one HCV-related complication was found in 12.2% of patients, with a mean time-to-event equal to 8.1 year. Along with male sex and advanced age, a FIB-4 greater than 3.25 and the presence of diabetes were associated with a greater risk of HCV-related complications. Conclusion Our study shows that patients with certain demographics and clinical characteristics are more prone to incur in HCV-related complications. The knowledge and early identification of these determinants by GPs may result in reducing disease progression and related healthcare costs through a closer monitoring.

The higher effectiveness of adjuvanted trivalent influenza vaccine (aTIV) versus non-adjuvanted (na) formulations in preventing all-cause hospitalization has been demonstrated for a single influenza season and in institutionalized elderly only. This study evaluated the relative vaccine effectiveness for aTIV vs. non-adjuvanted trivalent (naTIV) and/or quadrivalent (naQIV) influenza vaccines in preventing all-cause hospitalizations across 18 influenza seasons in primary care.Using Health Search Database, a nested case-control analysis was conducted in a cohort of older adults being vaccinated with aTIV or naTIV/naQIV. Conditional logistic regression was adopted to estimate the odds ratio (OR) of all-cause hospitalizations occurred during the epidemic period.Of 58,252 patients vaccinated with aTIV and naTIV/naQIV for the first time, 2,504 cases of all-cause hospitalization (3.46 per 1,000 person-weeks) during the 18 influenza seasons were identified. Compared with naTIV/naQIV, aTIV was associated with a 12% reduced the odds of all-cause hospitalizations (OR 0.88; 95% CI: 0.80-0.97).In an 18-season cohort of older adults, aTIV reduced the risk of all-cause hospitalizations when compared with naTIV/naQIV. Our findings confirm additional benefits for adjuvanted influenza vaccines in older adults.

Background Spinal muscular atrophy (SMA) is a rare genetic disease with a broad spectrum of severity. Although an early diagnosis of SMA is crucial to allow proper management of patients, the diagnostic delay is still an issue. Therefore, this study aimed to investigate the clinical correlates of SMA among primary care patients. Methods The Health Search Database (HSD) was adopted. To estimate the prevalence and incidence rate of SMA, a cohort study was conducted on the population (aged ≥6 years) being registered in HSD from 1 January 2000 up to 31 December 2019. To investigate the clinical correlates of SMA, a nested case–control study was performed. SMA cases have been classified according to a clinically based iterative process as “certain”, “probable” or “possible”. To test the association between clinical correlates and SMA cases a multivariate conditional logistic regression model was estimated. Results The SMA prevalence combining “certain”, “probable” and “possible” cases was 5.1 per 100,000 in 2019 (i.e. 1.12 per 100,000 when limited to “certain” cases), while the yearly incidence rate ranged from 0.12 to 0.56 cases per 100,000. Comparing “certain” cases with matched controls, the presence of neurology visits (OR = 6.5; 95% CI: 1.6–25.6) and prescription of electromyography (OR = 4.6; 95% CI: 1.1–18.7) were associated with higher odds of SMA diagnosis. Conclusions Our findings suggest that primary care databases may be used to enhance the early identification of SMA. Additional efforts are needed to exploit the electronic health records of general practitioners to allow early recognition of SMA.

Background There are few data comparing the relative effectiveness of the individual β-lactams. Objectives To quantify the reduced effectiveness, defined as switching to a different antibiotic being prescribed for the same indication, among new users of β-lactam antibiotics in primary care. Methods A retrospective cohort study was conducted using the Health Search Database, an Italian primary care data source. Patients newly prescribed with β-lactams for a specific indication between 1 January 2013 and 31 December 2017 were identified. A switch to a different antibiotic for the same indication occurring during a 30day follow-up was the study outcome. Cox regression was adopted to assess the risk of switching between the different β-lactams. Results Among 178 256 patients newly treated with β-lactam antibiotics, 1172 (0.65%) switched to a different antibiotic. Amoxicillin/clavulanate (co-amoxiclav: n = 104 891) and amoxicillin (n = 21 699) were the most frequently prescribed β-lactams. The other antibiotics showed significantly higher risk of switching when compared with co-amoxiclav for lower respiratory tract [e.g. ceftriaxone, hazard ratio (HR): 1.6, 95% CI: 1.2–2.0], dental [e.g. amoxicillin, HR: 4.2, 95% CI: 2.9–5.9], and middle ear infections [e.g. amoxicillin, HR: 1.8, 95% CI: 1.1–2.7]. The same results were gathered when parenteral formulations were excluded. Conclusions The prevalence of reduced effectiveness of newly prescribed β-lactam antibiotics was lower than 1%. Specifically, the rate of switch to another antibiotic, when it was prescribed to treat low respiratory tract, dental, and middle ear infections, was lower among users of co-amoxiclav than those prescribed with other β-lactams.

The impact of the coronavirus disease (COVID-19), caused by the novel coronavirus SARS-CoV-2, continues to be widespread, with more than 100 million cases diagnosed in more than 220 countries since the virus was first identified in January 2020. Although patients with mild to moderate forms of COVID-19 could be efficiently managed at home, thus reducing the pressure on the healthcare system and minimizing socio-psychological impact on patients, no trial has been proposed, conducted, or even published on COVID-19 home therapy to date. These expert opinions provide indications on the therapeutical at home management of COVID-19 patients, based on the evidence from the literature and on current guidelines.

Background: Hip fracture (HF) is a burdening health problem in older people. The orthogeriatric approach has been shown to favour functional recovery and reduce mortality, but its implementation in clinical practice cannot rely upon shared management protocols and greatly varies among different healthcare systems. Here, we present the rationale and design of the Italian consensus document on the management of HF in older people. Methods: A panel of multidisciplinary experts from ten Italian scientific societies involved in the care of HF and including geriatricians, orthopaedics, anaesthesiologists, physiatrists and general practitioners, will join to establish the content validity of a list of statements. A Delphi consensus methodology will be applied to obtain the opinions of the panel and to provide the final recommendations. Objectives: The document will include indications on the following relevant topics: (1) optimal care path of older subjects with HF; (2) management of comorbidities and pre-operative alteration of physiological parameters; (3) management of selected categories of patients at expected increased risk of adverse outcomes; (4) continuity of care out of hospital; (5) screening and correction of risk factors for HF in older subjects; (6) information and divulgation of shared management strategies. The objective of the consensus will be to inform clinicians, patients, researchers, and health policy makers about the best management strategies for HF in older people and their inherent limitations, thus facilitating communication between stakeholders and promoting the most cost/effective models of care.

Background Most episodes of venous thromboembolism (VTE) occurred in primary care. To date, no score potentially able to identify those patients who may deserve an antithrombotic prophylaxis has been developed. Aim The objective of this study is to develop and validate a prediction model for VTE in primary care. Methods Using the Health Search Database, we identified a cohort of 1,359,880 adult patients between 2002 and 2013. The date of the first General Practitioner's (GP) visit was the cohort entry date. All VTE cases (index date) observed up to December 2014 were identified. The cohort was randomly divided in a development and a validation cohort. According to nested case-cohort analysis, up to five controls were matched to their respective cases on month and year of cohort entry and duration of follow-up.The score was evaluated according to explained variance (pseudo R2) as a performance measure, ratio of predicted to observed cases as model calibration and area under the curve (AUC) as discrimination measure. Results The score was able to explain 27.9% of the variation for VTE occurrence. The calibration measure revealed a margin of error lower than 10% in 70% of the population. In terms of discrimination, AUC was 0.82 (95% confidence interval: 0.82–0.83). Results of sensitivity analyses substantially confirmed these findings. Conclusion The present score demonstrated a very good accuracy in predicting the risk of VTE in primary care. This score may be therefore implemented in clinical practice so aiding GPs in making decision on patients potentially at risk of VTE.

Background: Despite the crucial role played by general practitioners in the identification and care of people with cognitive impairment, few data are available on how they may improve the early recognition of patients with Alzheimer dementia (AD), especially those with long (i.e., 10 years and longer) medical history. Aims: To investigate the occurrence and the predictors of AD during a 10-year or longer period prior AD diagnosis in primary care patients aged 60 years or older. Materials and Methods: A cohort study with a nested case-control analysis has been conducted. Data were extracted from the Italian Health Search Database (HSD), an Italian database with primary care data. AD cases have been defined in accordance with the International Classification of Diseases, ninth edition (ICD-9-CM) codes and coupled with the use of anti-dementia drugs. Prevalence and incidence rates of AD have been calculated. To test the association between candidate predictors, being identified in a minimum period of 10 years, and incident cases of AD, we used a multivariate conditional logistic regression model. Results: As recorded in the primary care database, AD prevalence among patients aged 60 years or older was 0.8% during 2016, reaching 2.4% among nonagenarians. Overall, 1,889 incident cases of AD have been identified, with an incidence rate as high as 0.09% person-year. Compared with 18,890 matched controls, history of hallucinations, agitation, anxiety, aberrant motor behavior, and memory deficits were positively associated with higher odds of AD (p < 0.001 for all) diagnosis. A previous diagnosis of depression and diabetes and the use of low-dose aspirin and non-steroidal anti-inflammatory drugs were associated with higher odds of AD (p < 0.05 for all). Conclusion: Our findings show that, in accordance with primary care records, 1% of patients aged 60 years and older have a diagnosis of AD, with an incident AD diagnosis of 0.1% per year. AD is often under-reported in primary care settings; yet, several predictors identified in this study may support general practitioners to early identify patients at risk of AD.

The exploitation of routinely collected clinical health information is warranted to optimize the case detection and diagnostic workout of Alzheimer's disease (AD). We aimed to derive an AD prediction score based on routinely collected primary care data.We built a cohort selecting 199,978 primary care patients 60 + part of the Health Search Database between January 2002 and 2009, followed up until 2019 to detect incident AD cases. The cohort was randomly divided into a derivation and validation sub-cohort. To identify AD and non-AD cases, we applied a clinical algorithm that involved two clinicians. According to a nested case-control design, AD cases were matched with up to 10 controls based on age, sex, calendar period, and follow-up duration. Using the derivation sub-cohort, 32 potential AD predictors (sociodemographic, clinical, drug-related, etc.) were tested in a logistic regression and selected to build a prediction model. The predictive performance of this model was tested on the validation sub-cohort by mean of explained variation, calibration, and discrimination measurements.We identified 3223 AD cases. The presence of memory disorders, hallucinations, anxiety, and depression and the use of NSAIDs were associated with future AD. The combination of the predictors allowed the production of a predictive score that showed an explained variation (pseudo-RAn automated risk score for AD based on routinely collected clinical data is a promising tool for the early case detection and timely management of patients by the general practitioners.

Obesity negatively affects physical and psychological health and increases health care costs. Although there is increasing interest in early diagnosis and timely intervention, there are several principles of care included in the current guidelines for clinical management of obesity that can potentially be updated and improved to address the “clinical inertia” and, consequently, to optimize the management of adult obesity. Using an online Delphi-based process, an Italian board of experts involved in the management of obesity discussed the usefulness of a pro-active approach to the care of patients with obesity, providing a consensus document with practical indications to identify risk factors for morbidity and death and raise awareness throughout the treatment continuum, including the early stages of the disease. In clinical practice, it seems inappropriate to delay an intervention that could avoid progression to a more severe level of obesity and/or prevent the onset of obesity-related comorbidities.Level of evidence Level V, report of expert committee.

Background The proper identification of chronic migraine is one of the mainstays for general practitioners. This study therefore aims to assess the epidemiology and determinants of chronic migraine in primary care in Italy by testing five operational case definition algorithms. Methods Five case definition algorithms defining chronic migraine were developed to estimate the prevalence and incidence rate of chronic migraine in the Health Search database. For each algorithm, we conducted a nested case-control analysis to quantify the level of association between certain determinants and incident cases of chronic migraine. Results Considering a cohort of 1,091,032 patients (52% were females), the prevalence rate of chronic migraine increased from the first to the fifth case definition algorithm ranging from 0.03 to 0.28%. No 95% confidence interval overlapped the others, and every confidence interval reliably maintained 2% precision. Incidence rates showed a growing trend (0.008–0.056 per 100,000 person-years) as well. All case definition algorithms were able to capture sex (i.e. female) and nonsteroidal anti-inflammatory drug (NSAID) overuse as statistically significant determinants of incident cases of chronic migraine. Depression was associated with a statistically significant increase of incidence rate of chronic migraine only for two case definition algorithms. Conclusion Our findings show that prevalence and incidence rate of chronic migraine are underestimated when compared with current literature. On the other hand, we found acceptable correctness of chronic migraine definition in the light of the association with well-known determinants.

Objective To assess the incidence and determinants of the triple inhaled therapy in chronic obstructive pulmonary disease (COPD) primary care patients. Methods Data derived from the Health Search Database (HSD) gathering information on 700 Italian general practitioners. A cohort of COPD patients, prescribed for the first time with inhaled treatments, was followed-up between January 2002 and December 2014. The outcome was the first incident prescription of a triple inhaled therapy, namely the combination of inhaled corticosteroids (ICS), long-acting beta agonists (LABA), and long-acting muscarinic antagonists (LAMA). Cox regressions were used to test the association (hazard ratios, HR) between candidate determinants and the outcome. Results Out of 17589 patients (mean age 71.1 ± 11.3 years; 37.4% females), 3693 (21%) were prescribed with a triple inhaled therapy during follow-up. Older age (HR = 1.79 to 2.61), current and former smoking habit (HR = 1.72 and 1.66), higher GOLD stage (HR = 1.45 to 2.79), the number of moderate and severe COPD exacerbations (HR = 1.10 to 2.63), and heart failure (HR = 1.17) resulted statistically significantly associated with an increased incident prescription of the triple inhaled therapy. Female sex (HR = 0.80) and some comorbidities (HR = 0.21 to 0.87) resulted negatively associated with the outcome. Furthermore, patients initially treated with LAMA (HR = 1.5) and LABA/ICS (HR = 1.23) were more likely to escalate to the triple therapy, than those on LABA. Conversely, patients initially treated with ICS presented a negative hazard (HR = 0.72). Conclusions The knowledge of demographic and clinical determinants of the escalation to the triple inhaled therapy in real-world COPD patients may help clinicians to better personalize respiratory pharmacological treatments of their patients, and inform international societies that issue clinical guidelines.

Background Although very common in Western countries, poor epidemiological data on diverticular disease (DD) is available from the family practice. Aims To evaluate the behavior of Italian General Practitioners (GPs) on approaching DD. Methods Health Search Database was analyzed retrospectively. Results On a population of 975,523 individuals, 33,597 patients had a registered diagnosis of DD (“lifetime” prevalence = 3.4%, M = 3.2%, F = 3.7%; higher values are found in females over-65 years old; low rates of complications: diverticulitis = 0.3%, bleeding = 0.002%). As risk factors, NSAIDs and ASA were taken by 14.8% and 26.5% respectively, opioids by 7.5%, corticosteroids by 5.2%; as protective factors, 30.4% were under statins and 17.7% under calcium-antagonists. Approximately 13% of patients were referred to specialists. Colonoscopy and abdominal CT were prescribed to 48.5% and to 13% of already diagnosed patients. Among DD sufferers, 27% experienced hospitalization, but only 3.4% of cases were for a DD-linked problem. Treatment included rifaximin (61%), mesalazine (14.7%), probiotics (12.4%), ciprofloxacin (7.6%). Conclusion DD has a large impact in general practice with a higher prevalence in the elderly. GPs are required to pay particular attention to risk factors both for disease development and for its complications in order to reduce the costs deriving from diagnostic procedures, referral and hospitalization.

Background: β-lactam antibiotics are one of the most used medications for treatment of bacterial infections, mainly those involving the upper and lower respiratory tract. However, the development of antibiotic resistances largely reduced their effectiveness. Aims and Objectives: To compare β-lactam antibiotics in terms of treatment failure, which was evaluated as switch from one antibiotic to another β-lactam or another antibiotic class for the same indication. Methods: Using Health Search Database, we identified a cohort of patients with an incident prescription of β-lactam antibiotics. Patients were followed until the occurrence of switch to another antibiotic. Results: 178,256 incident users of β-lactams were identified and 1,172 (0.65%) of them were switched to another antibiotic within 30 days. Overall, amoxicillin-clavulanate reported the lowest (0,42%) degree of switching among β-lactams. Using multivariate logistic regression model and excluding incident users of parenteral antibiotics, amoxicillin-clavulanate showed the lowest risk of treatment failure compared to the other β-lactams, namely amoxicillin (odds ratio (OR) as compared to amoxicillin-clavulanate: 1.67 (95% CI 1.39-2.01)) and cefuroxime (OR: 3.05 (95% CI 2.16-4.29)). Estimating the switch rate stratified by indication of use, amoxicillin-clavulanate was associated with lowest rate of switch for lower respiratory tract infections (LRTIs), dental infections and middle ear infections. Conclusions: Our findings indicate that amoxicillin-clavulanate was associated to a lower rate of treatment failure when compared to other β-lactam antibiotics prescribed for LRTIs, dental infections and ear infections

Chronic pain is considered a public health priority by the World Health Organization and European health institutions. It has reached alarming proportions in terms of disability, consumption of health and social resources, and impact on primary and specialist care services. Primary care physicians are often called on to manage this condition. Chronic pain management can be challenging due to its complexity. It has traditionally been considered to include nociceptive pain that that persists longer than the normal healing time, neuropathic pain lasting more than 3 months, or a combination of these. More recently, a third descriptor, nociplastic (primary) pain, was added to classify patients with chronic pain conditions such as fibromyalgia, nonspecific back pain, or mixed pain that persists or other conditions in which altered central pain modulation results in central sensitization and chronic pain in the absence of actual or threatened damage to tissues, including in the somatosensory nervous system. This document provides an overview of pain types and their underlying mechanisms. Successful pain management is facilitated by identification of the pain type. A set of diagnostic tools and a pain algorithm are presented to guide the clinician toward the correct diagnosis. The algorithm identifies cases that may require referral to a pain specialist. Once the site of origin of the pain (the “pain generator”) is identified, or a primary pain syndrome is suspected, the accompanying article provides information and rationale to support treatment decisions based on patient characteristics.

This article describes the prospective changes and the fundamental values of the relationships between family doctors, patients and community according to an ethical-social concept of medicine. New aspects of the organization of the activity and of the roles of family doctors are reported in order to build hypotheses pointing to a modern and efficient management of patients in the coming the post-COVID era.