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The restrictions adopted during the coronavirus disease 2019 (COVID-19) pandemic limiting direct medical consultations and access to healthcare centers reduced the participation of patients with chronic diseases, such as osteoporosis (OP), in screening and monitoring programs. This highlighted the need for new screening diagnostic tools that are clinically effective, but require minimal technical and time commitments, to stratify populations and identify who is more at risk for OP and related complications. This paper provides an overview of the potential use of blood-related factors, such as platelet (PLT)- and monocyte-related factors, as biomarkers able to quickly screen, detect, and monitor OP in both sexes. Such biomarkers might be of key importance not only during the COVID-19 pandemic but also, even more importantly, during periods of better global health stability.

Introduction Patellar tendinopathy is one of the most common musculoskeletal problems associated with sport. While commonly perceived as a predominantly male problem, recent epidemiological studies revealed that it also affects a large number of sport-active women. The aim of this systematic review was to understand how the available treatments apply to women affected by patellar tendinopathy. Methods We analysed the available literature with a systematic review on three databases (PubMed, Cochrane, Web of Science) on February 2021, retrieving a total of 136 studies published from 1983. Results The overall scientific field offers an astonishingly low number of data on treatment results referring to only 78 women (2%) in the entire literature. Only 5% of the retrieved articles considered focusing only or mostly on men to be a limitation. Conclusions Women represent only a minority of patients studied for this topic. The few documented cases are further fragmented by being related to different treatments, thus basically offering no solid evidence for results and limitations of any therapeutic approach in women. This literature analysis showed a greater gender gap than what is recognized in science and general medicine; it showed a gender blindness in sports medicine when investigating a common problem like patellar tendinopathy.

West Nile virus (WNV) and Usutu virus (USUV) are mosquito-borne viruses that belong to the Japanese encephalitis virus serocomplex within the genus Flavivirus. Due to climate change and the expansion of mosquito vectors, flaviviruses are becoming endemic in increasing numbers of countries. WNV infections are reported with symptoms ranging from mild fever to severe neuro-invasive disease. Until now, only a few USUV infections have been reported in humans, mostly with mild symptoms. The serological diagnosis and differentiation between flavivirus infections, in general, and between WNV and USUV, in particular, are challenging due to the high degree of cross-reacting antibodies, especially of those directed against the conserved fusion loop (FL) domain of the envelope (E) protein. We have previously shown that E proteins containing four amino-acid mutations in and near the FL strongly reduce the binding of cross-reactive antibodies leading to diagnostic technologies with improved specificities. Here, we expanded the technology to USUV and analyzed the differentiation of USUV- and WNV-induced antibodies in humans. IgG ELISAs modified by an additional competition step with the heterologous antigen resulted in overall specificities of 93.94% for WNV Equad and 92.75% for USUV Equad. IgM antibodies against WNV could be differentiated from USUV IgM in a direct comparison using both antigens. The data indicate the potential of the system to diagnose antigenically closely related flavivirus infections.

ObjectivePostacute COVID-19 syndrome (PACS) is an emerging entity characterised by a large array of manifestations, including musculoskeletal complaints, fatigue and cognitive or sleep disturbances. Since similar symptoms are present also in patients with fibromyalgia (FM), we decided to perform a web-based cross-sectional survey aimed at investigating the prevalence and predictors of FM in patients who recovered from COVID-19.MethodsData were anonymously collected between 5 and 18 April 2021. The collection form consisted of 28 questions gathering demographic information, features and duration of acute COVID-19, comorbid diseases, and other individual’s attributes such as height and weight. The American College of Rheumatology (ACR) Survey Criteria and the Italian version of the Fibromyalgia Impact Questionnaire completed the survey.ResultsA final sample of 616 individuals (77.4% women) filled the form 6±3 months after the COVID-19 diagnosis. Of these, 189 (30.7%) satisfied the ACR survey criteria for FM (56.6% women). A multivariate logistic regression model including demographic and clinical factors showed that male gender (OR: 9.95, 95% CI 6.02 to 16.43, pConclusionOur data suggest that clinical features of FM are common in patients who recovered from COVID-19 and that obesity and male gender affect the risk of developing post-COVID-19 FM.

Global data correlate severe vitamin D deficiency with COVID-19-associated coagulopathy, further suggesting the presence of a hypercoagulable state in severe COVID-19 patients, which could promote thrombosis in the lungs and in other organs. The feedback loop between COVID-19-associated coagulopathy and vitamin D also involves platelets (PLTs), since vitamin D deficiency stimulates PLT activation and aggregation and increases fibrinolysis and thrombosis. Vitamin D and PLTs share and play specific roles not only in coagulation and thrombosis but also during inflammation, endothelial dysfunction, and immune response. Additionally, another ‘fil rouge’ between vitamin D and PLTs is represented by their role in mineral metabolism and bone health, since vitamin D deficiency, low PLT count, and altered PLT-related parameters are linked to abnormal bone remodeling in certain pathological conditions, such as osteoporosis (OP). Hence, it is possible to speculate that severe COVID-19 patients are characterized by the presence of several predisposing factors to bone fragility and OP that may be monitored to avoid potential complications. Here, we hypothesize different pervasive actions of vitamin D and PLT association in COVID-19, also allowing for potential preliminary information on bone health status during COVID-19 infection.

Whilst the entire world is battling the second wave of COVID-19, a substantial proportion of patients who have suffered from the condition in the past months are reporting symptoms that last for months after recovery, i. e., long-term COVID-19 symptoms. We aimed to assess the current evidence on the long-term symptoms in COVID-19 patients. We did a systematic review on PubMed, Web of Science, EMBASE, and Google Scholar from database inception to February 15, 2021, for studies on long-term COVID-19 symptoms. We included all type of papers that reported at least one long-term COVID-19 symptom. We screened studies using a standardized data collection form and pooled data from published studies. Cohort cross-sectional, case-report, cases-series, case-control studies, and review were graded using specific quality assessment tools. Of 11,361 publications found following our initial search we assessed 218 full-text articles, of which 145 met all selection criteria. We found that 20.70% of reports on long-term COVID-19 symptoms were on abnormal lung functions, 24.13% on neurologic complaints and olfactory dysfunctions, and 55.17% on specific widespread symptoms, mainly chronic fatigue, and pain. Despite the relatively high heterogeneity of the reviewed studies, our findings highlighted that a noteworthy proportion of patients who have suffered from SARS-CoV-2 infection present a “post-COVID syndrome.” The multifaceted understanding of all aspects of the COVID-19 pandemic, including these long-term symptoms, will allow us to respond to all the global health challenges, thus paving the way to a stronger public health.

The mortality of hip fracture (HF) patients is increased by concomitant COVID-19, however, evidence is limited to only short follow-up. A retrospective matched case–control study was designed with the aim to report the 90-day mortality and determine the hazard ratio (HR) of concomitant HF and COVID-19 infection. Cases were patients hospitalized for HF and diagnosed with COVID-19. Controls were patients hospitalized for HF not meeting the criteria for COVID-19 diagnosis and were individually matched with each case through a case–control (1:3) matching algorithm. A total of 89 HF patients were treated during the study period, and 14 of them were diagnosed as COVID-19 positive (overall 15.7%). Patients’ demographic, clinical, and surgical characteristics were similar between case and control groups. At 90 days after surgery, 5 deaths were registered among the 14 COVID-19 cases (35.7%) and 4 among the 42 HF controls (9.5%). COVID-19-positive cases had a higher risk of mortality at 30 days (HR = 4.51, p = 0.0490) and 90 days (HR = 4.50, p = 0.025) with respect to controls. Patients with concomitant HF and COVID-19 exhibit high perioperative mortality, which reaches a plateau of nearly 30–35% after 30 to 45 days and is stable up to 90 days. The mortality risk is more than four-fold higher in patients with COVID-19.

Background: E-health tools have been used to assess the temporal variations of different health problems. The aim of our infodemiology study was to investigate the seasonal pattern of search volumes for back pain in Italy. Methods: In Italian, back pain is indicated by the medical word “lombalgia”. Using Google Trends, we selected the three search terms related to “lombalgia” with higher relative search volumes (RSV), (namely, “mal di schiena”, “dolore alla schiena” and “dolore lombare”), representing the semantic preferences of users when performing web queries for back pain in Italy. Wikipedia page view statistics were used to identify the number of visits to the page “lombalgia”. Strength and direction of secular trends were assessed using the Mann–Kendall test. Cosinor analysis was used to evaluate the potential seasonality of back pain-related RSV. Results: We found a significant upward secular trend from 2005 to 2020 for search terms “mal di schiena” (τ = 0.734, p &lt, 0.0001), “dolore alla schiena” (τ = 0.713, p &lt, 0.0001) and “dolore lombare” (τ = 0.628, p &lt, 0.0001). Cosinor analysis on Google Trends RSV showed a significant seasonality for the terms “mal di schiena” (pcos &lt, 0.001), “dolore alla schiena” (pcos &lt, 0.0001), “dolore lombare” (pcos &lt, 0.0001) and “lombalgia” (pcos = 0.017). Cosinor analysis performed on views for the page “lombalgia” in Wikipedia confirmed a significant seasonality (pcos &lt, 0.0001). Both analyses demonstrated a peak of interest in winter months and decrease in spring/summer. Conclusions: Our infodemiology approach revealed significant seasonal fluctuations in search queries for back pain in Italy, with peaking volumes during the coldest months of the year.

The explosion of the new coronavirus (SARS-CoV-2) pandemic has brought the role of the angiotensin converting enzyme 2 (ACE2) back into the scientific limelight. Since SARS-CoV-2 must bind the ACE2 for entering the host cells in humans, its expression and body localization are critical to track the potential target organ of this infection and to outline disease progression and clinical outcomes. Here, we mapped the physiological body distribution, expression, and activities of ACE2 and discussed its potential correlations and mutal interactions with the disparate symptoms present in SARS-CoV-2 patients at the level of different organs. We highlighted that despite during SARS-CoV-2 infection ACE2-expressing organs may become direct targets, leading to severe pathological manifestations, and subsequent multiple organ failures, the exact mechanism and the potential interactions through which ACE2 acts in these organs is still heavily debated. Further scientific efforts, also considering a personalized approach aimed to consider specific patient differences in the mutual interactions ACE2-SARS-CoV-2 and the long-term health effects associated with COVID-19 are currently mandatory.

Resilience is defined as “the capacity of individuals to cope successfully with significant change or adversity”. The challenge posed by the COVID-19 pandemic may potentially represent an overwhelmingly stressful event for patients with chronic diseases. Aim of our study was to investigate the levels of resilience in individuals with inflammatory arthritis living in Emilia Romagna, the third hardest-hit Italian region during the ongoing COVID-19 pandemic. To this purpose, we developed a survey consisting of four different sections assessing demographic characteristics, the 14-item resilience scale (RS14) and questionnaires evaluating depression and anxiety. Consecutive patients with inflammatory arthritis were recruited over a short time frame immediately after the end of national lockdown and compared with control individuals from the general population. One hundred twenty-two patients and 173 controls were included. Levels of resilience, as measured by RS14 score, were significantly higher in patients with inflammatory arthritis (82.6 ± 14.0 vs 79.0 ± 12.8, p = 0.018). After stratification for gender, the difference in RS14 score was maintained in women (p = 0.045), but not in men (p = 0.252). High resilience, defined as having a RS14 score > 90, was significantly more prevalent in patients than in controls (30% vs 16%, p = 0.009). In arthritis patients, no significant differences in RS14 were observed after stratification for specific diagnosis, age, or disease duration and activity. Our findings suggest that patients with inflammatory arthritis may be more resilient than the general population towards unexpected stressful events such as the ongoing COVID-19 pandemic.Key Points• Living with inflammatory arthritis may foster resilience.• After COVID-19, patients with inflammatory arthritis were more resilient than the general population. Electronic supplementary material The online version of this article (10.1007/s10067-020-05411-x) contains supplementary material, which is available to authorized users.

BACKGROUND The COVID-19 pandemic is favoring digital transitions in many industries and in society as a whole. Health care organizations have responded to the first phase of the pandemic by rapidly adopting digital solutions and advanced technology tools. OBJECTIVE The aim of this review is to describe the digital solutions that have been reported in the early scientific literature to mitigate the impact of COVID-19 on individuals and health systems. METHODS We conducted a systematic review of early COVID-19–related literature (from January 1 to April 30, 2020) by searching MEDLINE and medRxiv with appropriate terms to find relevant literature on the use of digital technologies in response to the pandemic. We extracted study characteristics such as the paper title, journal, and publication date, and we categorized the retrieved papers by the type of technology and patient needs addressed. We built a scoring rubric by cross-classifying the patient needs with the type of technology. We also extracted information and classified each technology reported by the selected articles according to health care system target, grade of innovation, and scalability to other geographical areas. RESULTS The search identified 269 articles, of which 124 full-text articles were assessed and included in the review after screening. Most of the selected articles addressed the use of digital technologies for diagnosis, surveillance, and prevention. We report that most of these digital solutions and innovative technologies have been proposed for the diagnosis of COVID-19. In particular, within the reviewed articles, we identified numerous suggestions on the use of artificial intelligence (AI)–powered tools for the diagnosis and screening of COVID-19. Digital technologies are also useful for prevention and surveillance measures, such as contact-tracing apps and monitoring of internet searches and social media usage. Fewer scientific contributions address the use of digital technologies for lifestyle empowerment or patient engagement. CONCLUSIONS In the field of diagnosis, digital solutions that integrate with traditional methods, such as AI-based diagnostic algorithms based both on imaging and clinical data, appear to be promising. For surveillance, digital apps have already proven their effectiveness; however, problems related to privacy and usability remain. For other patient needs, several solutions have been proposed, such as telemedicine or telehealth tools. These tools have long been available, but this historical moment may actually be favoring their definitive large-scale adoption. It is worth taking advantage of the impetus provided by the crisis; it is also important to keep track of the digital solutions currently being proposed to implement best practices and models of care in future and to adopt at least some of the solutions proposed in the scientific literature, especially in national health systems, which have proved to be particularly resistant to the digital transition in recent years.

Coronavirus disease 2019 (COVID-19) is a new infectious disease that currently lacks standardized and established laboratory markers to evaluate its severity. In COVID-19 patients, the number of platelets (PLTs) and dynamic changes of PLT-related parameters are currently a concern. The present paper discusses the potential link between PLT parameters and COVID-19. Several studies have identified a link between severe COVID-19 patients and specific coagulation index, in particular, high D-dimer level, prolonged prothrombin time, and low PLT count. These alterations reflect the hypercoagulable state present in severe COVID-19 patients, which could promote microthrombosis in the lungs, as well as in other organs. Further information and more advanced hematological parameters related to PLTs are needed to better estimate this link, also considering COVID-19 patients at different disease stages and stratified in different cohorts based on preexisting co-morbidity, age, and gender. Increasing the understanding of PLT functions in COVID-19 will undoubtedly improve our knowledge on disease pathogenesis, clinical management, and therapeutic options, but could also lead to the development of more precise therapeutic strategies for COVID-19 patients.

UNSTRUCTURED Our hypothesis is that Google Trends could provide useful insights to predict the COVID-19 outbreak in Italy. A search was performed using the Italian words “tosse” and “febbre”, respectively meaning “cough” and “fever” in English, and we analysed temporal correlation between Google trends and official data on increase in ICU admissions and new deaths from COVID-19 in Italy over the period between February 24th and April 6th. We visualized a lag period between trends in search volumes for “tosse” and “febbre” and ICU admissions or deaths, respectively of about 1 and 2 weeks. Therefore, we plotted the increase in ICU admissions against Google Trends for “tosse” and “febbre” 1 week earlier, and the number of new deaths against the search volumes for “tosse” and “febbre” 2 weeks earlier. A significant correlation was observed. Second waves of COVID-19 are expected and our viewpoint is that, integrated with traditional public health surveillance systems, the interpretation of Google Trends data could be useful to alert and prepare the healthcare system in advance.

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Background The COVID-19 pandemic is favoring digital transitions in many industries and in society as a whole. Health care organizations have responded to the first phase of the pandemic by rapidly adopting digital solutions and advanced technology tools. Objective The aim of this review is to describe the digital solutions that have been reported in the early scientific literature to mitigate the impact of COVID-19 on individuals and health systems. Methods We conducted a systematic review of early COVID-19–related literature (from January 1 to April 30, 2020) by searching MEDLINE and medRxiv with appropriate terms to find relevant literature on the use of digital technologies in response to the pandemic. We extracted study characteristics such as the paper title, journal, and publication date, and we categorized the retrieved papers by the type of technology and patient needs addressed. We built a scoring rubric by cross-classifying the patient needs with the type of technology. We also extracted information and classified each technology reported by the selected articles according to health care system target, grade of innovation, and scalability to other geographical areas. Results The search identified 269 articles, of which 124 full-text articles were assessed and included in the review after screening. Most of the selected articles addressed the use of digital technologies for diagnosis, surveillance, and prevention. We report that most of these digital solutions and innovative technologies have been proposed for the diagnosis of COVID-19. In particular, within the reviewed articles, we identified numerous suggestions on the use of artificial intelligence (AI)–powered tools for the diagnosis and screening of COVID-19. Digital technologies are also useful for prevention and surveillance measures, such as contact-tracing apps and monitoring of internet searches and social media usage. Fewer scientific contributions address the use of digital technologies for lifestyle empowerment or patient engagement. Conclusions In the field of diagnosis, digital solutions that integrate with traditional methods, such as AI-based diagnostic algorithms based both on imaging and clinical data, appear to be promising. For surveillance, digital apps have already proven their effectiveness; however, problems related to privacy and usability remain. For other patient needs, several solutions have been proposed, such as telemedicine or telehealth tools. These tools have long been available, but this historical moment may actually be favoring their definitive large-scale adoption. It is worth taking advantage of the impetus provided by the crisis; it is also important to keep track of the digital solutions currently being proposed to implement best practices and models of care in future and to adopt at least some of the solutions proposed in the scientific literature, especially in national health systems, which have proved to be particularly resistant to the digital transition in recent years.

Background: Resilience is defined as the capacity to cope successfully with change or adversity. The aims of our study were to investigate levels of resilience in Italian healthcare professionals (HCPs) during the Coronavirus disease 2019 (COVID-19) pandemic and to identify potential predictors of resilience. Methods: We performed a web-based survey of HCPs (n = 1009) working in Italian hospitals during the COVID-19 pandemic. The survey contained a 14-item resilience scale (RS14) and questionnaires to evaluate depression and anxiety symptoms. Non-HCP individuals (n = 375) from the general population were used for comparison. Results: HCPs showed significantly lower resilience compared to the control group (p = 0.001). No significant differences were observed after stratification for geographical area, work setting, role, or suspected/confirmed diagnosis of COVID-19. In a linear regression analysis, RS14 was inversely correlated with depression (R2 = 0.227, p &lt, 0.001) and anxiety (R2 = 0.117, p &lt, 0.001) and directly correlated with age (R2 = 0.012, p &lt, 0.001) but not with body mass index (BMI, R2 = 0.002, p = 0.213). In male HCPs, higher depression score (odds ratio (OR) 1.147, p &lt, 0.001) or BMI (OR 1.136, p = 0.011) significantly predicted having low resilience. In female HCPs, higher depression score (OR 1.111, p &lt, 0.0001) and working in a COVID-19 free setting (OR 2.308, p = 0.002) significantly predicted having low resilience. HCPs satisfied with personal protective equipment had higher levels of resilience (p &lt, 0.010). Conclusions: Our findings suggest that resilience was lower in Italian HCPs than in the general population after the first COVID-19 wave. Specific factors can be identified, and targeted interventions may have an important role to foster resilience of HCPs.

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Cervical specimens collected in liquid-based cytology (LBC) media are the most common sample type used for high-risk human papillomavirus (HPV) testing. Since preanalytic steps such as vortexing and decapping vials, liquid transfer to a sample input tube with matching unique identifier, and recapping the original vials are required for processing LBC samples prior to running the Abbott RealTime High Risk HPV assay (Abbott, Wiesbaden, Germany), a full manual execution can be complicated, especially in high-throughput diagnostic contexts. Here, a custom-configured worktable setup for the Tecan Freedom EVO (Tecan, Männedorf, Switzerland) designed to automate and control preanalytic steps for ThinPrep (Hologic, Marlborough, MA) samples was used to evaluate the impact of automated versus manual preanalytics. Archival results for manual processing of 226 samples were compared with those obtained with the Tecan protocol, observing a very good overall concordance for final assay interpretation (95.6%). High overall agreement (100%) resulted also from retesting 99 samples by both the preanalytical protocols. High reproducibility was observed analyzing 23 randomly selected samples by automated preprocessing in triplicate. Hence, the new configuration of the Tecan platform translates the manual steps required to process ThinPrep specimens into automated operations, controls sample identification, and allows for saving hands-on time, while maintaining assay reproducibility and ensuring reliability of results, making it suitable for screening settings.

BACKGROUND: New technologies for automated disinfection have been developed, including the use of hydrogen peroxide atomized by specific equipment, with associated silver compounds. AIMS: To compare the effectiveness of an automated disinfection system with hydrogen peroxide

Summary Objectives The capability to detect ZIKV RNA is of crucial importance for cases confirmation. However, due to the short-lived viremia, the detection of ZIKV RNA in plasma/serum is challenging for samples collected more than one week after onset of clinical illness. We compared the window time and detection rate of ZIKV RNA in different specimen types (plasma, whole blood and urine) collected simultaneously at several times post-symptom onset. Methods We examined the presence of ZIKV RNA in matched specimens of whole blood, plasma and urine collected in the same date (3–28 days after symptom onset) from 10 ZIKV infected patients. Results ZIKV RNA was found in plasma as late as 10 days after symptoms onset and tested positive in all 5 (100%) and in 2 of 6 (33,3%) plasma samples collected 1–5 and 6–10 days after symptoms onset, respectively. ZIKV RNA was positive in urine through the 21st day after symptom onset; the detection rate of ZIKV RNA in urine samples was 100% (11/11) for samples collected 1–10 days from symptoms onset, decreasing at later times of sampling. The detection rate of ZIKV RNA in whole blood was comparable to that in urine samples but extended the window of detection of ZIKV RNA up to 26 days after symptom onset. Conclusions Our results highlight the usefulness of simultaneously testing multiple specimen types in order to extend the rate and the time frame of ZIKV RNA detection, increasing the possibility of cases confirmation through direct diagnosis in convalescence-phase of infection, supplementing serological data which are often difficult to interpret.

The efficacy of domestic laundering of healthcare staff clothing is still debated. This study aimed to compare the performance of decontamination of different domestic laundering with that of industrial laundering. Fourteen naturally contaminated white coats of healthcare workers (5 fabric squares from each coat) and fabric squares of artificially contaminated cotton cloth (30 fabric squares per each bacterial strain used) were included. Four domestic laundering procedures were performed; two different washing temperatures (40°C and 90°C) and drying (tumble dry and air dry) were used. All fabric squares were ironed. Presence of bacterial bioburden on the fabric squares after domestic and industrial laundering was investigated. None of the naturally contaminated fabric squares resulted completely decontaminated after any of the domestic washes. At 24, 48, and 72h of incubation, bacterial growth was observed in all the laundered fabric squares. Besides environmental microorganisms, potentially pathogenic bacteria (i.e., Acinetobacter lwoffii, Micrococcus luteus, coagulase-negative staphylococci) were isolated. On the artificially contaminated fabric squares, the bioburden was reduced after the domestic laundries; nevertheless, both Gram-negative and -positive pathogenic bacteria were not completely removed. In addition, a contamination of the fabric squares by environmental Gram-negative bacteria was observed. In both the naturally and artificially contaminated fabric squares, no bacterial growth at all the time-points analyzed was observed after industrial laundering, which provided to be more effective in bacterial decontamination than domestic washes. For those areas requiring the highest level of decontamination, the use of specialized industrial laundry services should be preferred.

Combination therapies are frequently used in the treatment of multidrug-resistant Klebsiella pneumoniae infection without consensus regarding which combination is the most effective. We compared bactericidal titres from sera collected from critically ill patients receiving meropenem plus tigecycline (n= 5), meropenem plus colistin (n= 5), or meropenem, colistin and tigecycline (n= 5) against K. pneumoniae isolates that included ESBL-producing (n= 7) and KPC-producing strains (n= 14) with varying sensitivity patterns to colistin and tigecycline. Meropenem concentrations (Cmin) were measured in all samples by LC-MS/MS, and indexed to respective pathogen MICs to explore differences in patterns of bactericidal activity for two versus three drug combination regimens. All combination regimens achieved higher SBTs against ESBL (median reciprocal titre 128, IQR 32–256) versus KPC (4, IQR 2–32) strains. Sera from patients treated with meropenem-colistin yielded higher median SBTs (256, IQR 64–512) than either meropenem-tigecycline (32, IQR 8–256; P' 0.001). The addition of tigecycline was associated with a lower probability of achieving a reciprocal SBT above 8 when meropenem concentrations were below the MIC (P= 0.04). Although the clinical significance is unknown, sera from patients receiving tigecycline-based combination regimens produce lower serum bactericidal titres against ESBL or KPC-producing K. pneumoniae. SBTs may represent a useful complimentary endpoint for comparing pharmacodynamics of combinations regimens for MDR Enterobacteriaceae.

Infections continue to be one of the leading causes of morbidity and mortality in liver transplant recipients. We retrospectively reviewed the symptomatic infectious episodes that occurred during the first year post-transplant to determine time of onset, causative pathogens and cell-mediated immunity response patterns. Ninety-eight of the 202 (48.5%) recipients enrolled developed at least one infectious episode. The total number of infectious episodes was 135: 77 (57.1%) bacterial, 45 (33.3%) viral and 13 (9.6%) fungal. The most frequently isolated bacteria were Escherichia coli (21 isolates) and Klebsiella pneumoniae (19 isolates). Overall, extended-spectrum beta lactamase-producing and methicillin-resistant organisms were responsible for 29 (29/77; 37.7%) infectious episodes. Members of the herpes virus group, in particular cytomegalovirus (34/45 viral infections, 75.5%), were detected. Candida species (9 isolates) followed by Aspergillus species (4 isolates) were isolated. The majority of infections (63%) occurred during the early post-transplant phase (

The correlation between HPV and nail squamous cell carcinoma is investigated in a case series.

Kluyvera is considered a benign saprophyte commonly present in the environment and also in the human gastrointestinal tract. Kluyvera infections in humans are rare and the pathogenic role of Kluyvera remains uncertain.1 In recent years, sporadic cases of Kluyvera species carrying class A carbapenemase genes (blaGES-5 and blaKPC-2) have been reported.2,3 Herein we describe the complete nucleotide sequence of an IncA plasmid carrying blaVIM-1 recovered from a Kluyvera cryocrescens strain isolated in Italy. This is, to our knowledge, the first report about a Kluyvera strain with an acquired class B carbapenemase.

Global processes have brought about a substantial change in the epidemiological landscape of Chagas disease, spreading it to non-endemic areas. Italy is the second country in Europe in terms of Latin American migrants and expected infection rate. Given that scenario, the Bologna University Teaching Hospital undertaken a study aimed at providing preliminary data on the prevalence and investigating the knowledge and the subjective perceptions of Chagas disease, migration pathways and other relevant ill-health experiences. A cross-sectional study was undertaken in association with an ethnographic research. Between November 2010 and May 2013 Chagas disease testing was offered to people who attended the hospital and data were collected to investigate the broader socio-demographic and cultural factors. 151 individuals were screened for anti T. cruzi antibodies; 12 of them, 10 Bolivians and 2 Argentinians, were seroreactive, resulting in an overall prevalence of 7.94 %. Both the quantitative and the qualitative analysis revealed a degree of heterogeneity in terms of knowledge and perceptions of the disease as well as of migration pathways. The results are comparable with those reported by previous studies with similar characteristics and highlight the relevance of such public health issue in a non-endemic context. Moreover, the interdisciplinary approach has greatly helped to unveil the complex social and cultural implications of Chagas disease, to explain the subjective ill-health experiences, and to understand the ways in which the broader socio-economic and cultural context affects an intervention and its potential for success or failure.

Summary Objective Gastroenteritis caused by a single pathogen or multiple pathogens remains a major diagnostic challenge for the laboratory. The treatment of diarrhoea is based on microbiological results. Diagnosis is achieved using different laboratory techniques that have variable sensitivity and specificity. xTAG GPP is a new multiplex PCR assay that simultaneously detects 15 different pathogens responsible for diarrhoea. The results of the first multicentre study in Italy to evaluate the potential clinical application of the GPP assay in the laboratory diagnosis of diarrhoea are reported here. Methods Faeces specimens ( N =664) from hospitalized patients were tested with the GPP assay using a Luminex 200 instrument. All specimens were run using comparator methods following a routine algorithm: culture for bacteria, enzyme immunoassay and PCR for viruses, and microscopy for parasites. Results Of the samples tested with the GPP, 53.61% (356/664) gave positive results, as compared to 45.33% by routine testing. Of the positive specimens, 34.55% showed the presence of genomic DNA from multiple pathogens. The Luminex method showed an increase in the percentage of positivity of 8.28%. Conclusions The GPP assay can be considered a helpful tool for the detection of gastrointestinal pathogens, with a hands-on time of 5h; it provides accurate data for the clinical management of hospitalized patients and for epidemiological surveillance.

Klebsiella pneumoniae is at the forefront of antimicrobial resistance for Gram-negative pathogenic bacteria, as strains resistant to third-generation cephalosporins and carbapenems are widely reported. The worldwide diffusion of these strains is of great concern due to the high morbidity and mortality often associated with K. pneumoniae infections in nosocomial environments. We sequenced the genomes of 89 K. pneumoniae strains isolated in six Italian hospitals. Strains were selected based on antibiotypes, regardless of multilocus sequence type, to obtain a picture of the epidemiology of K. pneumoniae in Italy. Thirty-one strains were carbapenem-resistant K. pneumoniae carbapenemase producers, 29 were resistant to third-generation cephalosporins, and 29 were susceptible to the aforementioned antibiotics. The genomes were compared to all of the sequences available in the databases, obtaining a data set of 319 genomes spanning the known diversity of K. pneumoniae worldwide. Bioinformatic analyses of this global data set allowed us to construct a whole-species phylogeny, to detect patterns of antibiotic resistance distribution, and to date the differentiation between specific clades of interest. Finally, we detected an ∼1.3-Mb recombination that characterizes all of the isolates of clonal complex 258, the most widespread carbapenem-resistant group of K. pneumoniae . The evolution of this complex was modeled, dating the newly detected and the previously reported recombination events. The present study contributes to the understanding of K. pneumoniae evolution, providing novel insights into its global genomic characteristics and drawing a dated epidemiological scenario for this pathogen in Italy.

Pathogens transmitted to humans by phlebotomine sand flies are neglected, as they cause infectious diseases that are not on the priority list of national and international public health systems. However, the infections caused by protozoa of the Leishmania genus and viruses belonging to the Phlebovirus genus (family Phenuiviridae)-the most significant group of viruses transmitted by sand flies-have a relevant role for human pathology. These infections are emerging in the Mediterranean region and will likely spread in forthcoming decades, posing a complex threat to human health. Four species and 2 hybrid strains of Leishmania are pathogenic for humans in the Mediterranean Basin, with an estimated annual incidence of 239,500-393,600 cases of cutaneous leishmaniasis and 1,200-2,000 cases of visceral leishmaniasis. Among the phleboviruses, Toscana virus can cause neuroinvasive infections, while other phleboviruses are responsible for a typical "3-day fever"; the actual incidence of Phlebovirus infections in the Mediterranean area is unknown, although at least 250 million people are exposed. Here, we reviewed the current literature on epidemiology of sand fly-borne infections in the Mediterranean Basin, with a focus on humans. Our analysis indicates the need for increased public health activities directed to determine the disease burden of these infections as well as to improve their surveillance. Among the emerging challenges concerning sand fly-borne pathogens, the relationships between sand fly-borne protozoa and viruses should be considered in future studies, including epidemiological links between Leishmania and phleboviruses as well as the conditional capacity for these pathogens to be involved in interactions that may evolve towards increased virulence.