Exploring Cohesin-Related Multiomics Information in the Web Browser.

Cohesin is a protein complex that plays a key role in regulating chromosome structure and gene expression. While next-generation sequencing technologies have provided extensive information on various aspects of cohesin, integrating and exploring the vast datasets associated with cohesin are not straightforward. CohesinDB ( https://cohesindb.iqb.u-tokyo.ac.jp ) offers a web-based interface for browsing, searching, analyzing, visualizing, and downloading comprehensive multiomics cohesin information in human cells. In this protocol, we introduce how to utilize CohesinDB to facilitate research on transcriptional regulation and chromatin organization.

The Impact of Gender and Race on Outcomes for Hospitalized Hepatitis A Patients Stratified by Liver Disease Severity.

Background: The incidence of hepatitis A virus (HAV) infection is on the rise, with a minority of patients at risk for poor outcomes. This study investigates the prognostic impacts of race and gender on hospital outcomes among admitted HAV-infected patients. Methods: Using the National Inpatient Sample from 2012 to 2017, patients admitted with HAV were selected and stratified by gender (male and female) and race (White, Black, Hispanic, Asian-Pacific Islander, Other). Propensity score-matching and statistical analysis were implemented with comparison to the controls ("Female" and "White"). Primary endpoints included mortality, length of stay (LOS), and hospitalization costs, while secondary endpoints consisted of hepatic-related medical complications such as ascites, hepatic encephalopathy, varices, and acute liver failure. Results: Females with compensated cirrhosis had increased odds of mortality (aOR 2.59, 95% CI: 1.14-5.91, P = 0.02). Otherwise, no other differences in mortality were detected between genders and races. Females had a shorter hospital LOS (aOR 0.97, 95% CI: 0.96-0.98, P < 0.001), lower adjusted cost ($12,241 vs. $13,510, aOR 0.92, 95% CI: 0.92-0.92, P < 0.001), lower odds of esophageal varices (aOR 0.74, 95% CI: 0.57-0.97, P = 0.03) and hepatic encephalopathy (aOR 0.67, 95% CI: 0.53-0.84, P < 0.001) compared to males. Black patients exhibited higher LOS (aOR 1.06, 95% CI: 1.04-1.08, P < 0.001) and adjusted costs ($13,392 vs $12,592, aOR 1.02, 95% CI: 1.02-1.03, P < 0.001). Hispanic patients exhibited higher rates of esophageal varices (aOR 2.19, 95% CI: 1.28-3.76, P = 0.005) and adjusted costs ($14,202 vs. $12,381, aOR 1.07, 95% CI: 1.07-1.07, P < 0.001), and Asian patients experienced higher adjusted costs ($18,426 vs. $13,137, aOR 1.10, 95% CI: 1.10-1.10, P < 0.001) compared to White patients. Conclusion: Various nuanced impacts of gender and race on hospitalization outcomes in HAV infection were observed, with only one subgroup analysis demonstrating a higher rate of mortality. Further research is warranted to better understand these findings and their implications.

Comprehensive analysis of traumatic rupture of the aorta in road traffic crashes: incorporating epidemiological insights and K-prototype clustering.

OBJECTIVES: The identification of crash characteristics associated with traumatic rupture of the aorta (TRA) can significantly enhance countermeasures against TRA. Conventional epidemiological approaches struggle to adequately handle the substantial variability of traffic crash data. Consequently, this study aims to integrate conventional epidemiological analysis with data-driven cluster analysis to more comprehensively analyze TRA-related crash characteristics. METHODS: A total of 350 unweighted TRA crashes were extracted from traffic crash databases including comprehensive crash details and injury descriptions. Initially, a selection was made of 11 continuous variables and 9 categorical variables, describing crash characteristics. After correlation analysis and principal component analysis were applied to the dataset, K-prototype clustering was finally conducted using 6retained categorical variables and 6 principal components derived from the continuous variables. RESULTS: This study found significant age and gender disparities among TRA victims, with 50% falling within the age range of 25-59 years and an overwhelming majority (62.2%) being males. Side impacts emerged as the primary cause of TRA-related crashes (37.2%), followed by collisions with off-road objects (28.6%) and head-on collisions (24.8%). Cluster analyses revealed 6 distinct clusters within the TRA-related crash dataset. These clusters were characterized by factors such as vehicle model year, curb weight, collision dynamics, and seatbelt usage, providing a deeper understanding of the heterogeneity in TRA incidents and their associated factors. CONCLUSIONS: Although limitations related to available data sources and factors such as accompanying injuries and vehicle weight warrant further comprehensive investigations in the future, this study contributes valuable insights into TRA analysis to enhance understanding and prevention strategies.

Prevalence and predictors of annual asthma reviews in Scottish primary care data.

BACKGROUND: People with asthma are recommended to have regular reviews in primary care, with assessment of symptoms, adjustment of treatment and self-management processes, and the delivery of a written action plan for emergencies. AIM: Our study aimed to investigate the incidence and factors associated with attendance of annual reviews. DESIGN & SETTING: electronic health records for approximately 50 000 Scottish asthma patients, between 2008 and 2016. METHOD: Multivariable logistic regression using linked primary care prescription data and primary care registration demographic data. RESULTS: There was a median of 381 days between subsequent reviews. Reviews in the index year were strongly associated with reviews in the following year (odds ratio 1.76 [1.68-1.84]). In contrast, asthma consultations (excluding reviews) in the index year were associated with a lower odds of having a review in the following year (0.48 [0.46-0.51]). Those aged 18-35 in the index year, or with missing address in the practice registration data, were the least likely age group to have an asthma review in the following year. CONCLUSION: Reviewing the delivery of asthma care identifies patients who may be slipping through the gaps by receiving only reactive asthma care rather than the structured, preventative care which can be delivered through annual reviews. Understanding the risk factors for not receiving an annual review can be leveraged to create more effective review invitations, such as explaining the specific content of reviews, introducing new contact methods to improve health equity, and reviewing the algorithm used to determine who is invited.

Traditional Chinese Medicine Herbs for Breast Cancer Prevention and Survival: A Narrative Review of Epidemiological Studies from Taiwan.

PURPOSE OF REVIEW: This review aims to describe the association of integrating traditional Chinese medicine (TCM) herbs into conventional medicine (CM) in preventing breast cancer and improving survival rates among breast cancer patients of Taiwan. RECENT FINDINGS: Of 7 relevant studies, spanning 2014-2023, 4 investigated breast cancer risk in women with menopausal symptoms and other comorbidities. All 4 reported that TCM herbal use was associated with lower risks of developing breast cancer. Three studies investigated survival in newly-diagnosed breast cancer patients receiving CM. All reported that adjunctive TCM users had lower mortality rates than CM-only patients. However, the heterogeneity of study designs, populations, and interventions may limit the generalizability and robustness of the findings. TCM herbs may promote breast cancer prevention and survival when used alongside CM. More rigorous observational research and clinical trials in specific patient populations are needed to guide clinical decision-making.

Impact of waitlist weight change on outcomes in heart transplant recipients: a UNOS database analysis.

BACKGROUND: While the effect of pre-transplant weight on patient outcomes following heart transplantation (HTx) has previously been studied, data regarding the impact of dynamic weight change prior to HTx are extremely limited. OBJECTIVES: We sought to elucidate the interaction between HTx listing weight and weight change while waitlisted, and explore how that interaction impacts post-HTx survival in a continuous manner. METHODS: Adult patients listed for HTx from 1987 to 2020 were identified from UNOS database. Three-dimensional restricted cubic spline analysis explored post-HTx survival relative to both changes in BMI/weight and BMI at time of HTx listing. Continuous predictor variables were analyzed with Cox proportional hazards method. RESULTS: 9,628 included patients underwent HTx. Median recipient age was 55 [IQR 46-62] years, and 21% were females. 53% of patients lost while 47% gained weight on the waitlist. Median BMI (27.6 kg/m2 [24.3-31.3] vs. 27.4 kg/m2 [24.2-30.9], paired p < 0.001) and weight (84.8 kg [73.0-98.0] kg vs. 84.4 kg [72.6-96.6], p < 0.001) were similar at listing and transplant. One-year survival was 89.3%. Weight loss over 3 BMI points or 10 kg was associated with higher hazard of death irrespective of listing BMI. In non-obese patients, some weight gain (1-4 BMI points or 5-15 kg) was associated with improved survival. In cachectic patients (BMI < 18.5), failure to gain weight was associated with worse survival. CONCLUSIONS: Impact of weight change varies depending on listing BMI. While a survival benefit is seen in non-obese patients who gain some weight, significant weight loss is associated with poorer survival.

Development and validation of a prognostic nomogram for predicting liver metastasis in thyroid cancer: a study based on the surveillance, epidemiology, and end results database.

This study aimed to create a prognostic nomogram to predict the risk of liver metastasis (LM) in thyroid cancer (TC) patients and assess survival outcomes for those with LM. Data were collected from the SEER database, covering TC patients from 2010 to 2020, totaling 110,039 individuals, including 142 with LM. Logistic regression and stepwise regression based on the Akaike information criterion (AIC) identified significant factors influencing LM occurrence: age, histological type, tumor size, bone metastasis, lung metastasis, and T stage (p < 0.05). A nomogram was constructed using these factors, achieving a Cindex of 0.977, with ROC curve analysis showing an area under the curve (AUC) of 0.977. For patients with TCLM, follicular TC, medullary TC, papillary TC, and examined regional nodes were associated with better prognosis (p < 0.001, HR < 1), while concurrent brain metastasis indicated poorer outcomes (HR = 2.747, p = 0.037). In conclusion, this nomogram effectively predicts LM risk and evaluates prognosis for TCLM patients, aiding clinicians in personalized treatment decisions.

Evaluation of Antipsychotic-Induced Neuroleptic Malignant Syndrome Using a Self-Organizing Map.

Introduction In neuropsychiatric pharmacotherapy, neuroleptic malignant syndrome (NMS) is a potentially serious side effect of antipsychotics characterized primarily by fever, disorientation, extrapyramidal disorders, and autonomic nervous system imbalance, which can lead to death if left untreated. We visualized the NMS profile of antipsychotics using a self-organizing map (SOM). We combined it with decision tree analysis to discriminate between 31 antipsychotics in more detail than typical antipsychotic (TAP) and atypical antipsychotic (AAP) classifications. Method A total of 20 TAPs and 11 AAPs were analyzed. We analyzed NMS reports extracted from the Japanese Adverse Drug Event Report (JADER) database based on standardized Medical Dictionary for Regulatory Activities (MedDRA) queries (Standardized MedDRA Queries (SMQ) code: 20000044, including 68 preferred terms). The SOM was applied using the SOM package in R version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria). Results The Japanese Adverse Drug Event Report (JADER) database contained 887,704 reports published between April 2004 and March 2024. The numbers of cases of NMS (SMQ code: 20000044) reported for risperidone, aripiprazole, haloperidol, olanzapine, and quetiapine were 1691, 1294, 1132, 1056, and 986, respectively. After the antipsychotics were classified into six units using SOM, they were adapted for decision tree analysis. First, 31 antipsychotics branched off into groups with loss of consciousness, with one group (10 TAPs) consisting entirely of TAPs, and the other consisting of antipsychotics that were further separated into two groups with coma induced by TAPs and AAPs. Conclusion The results of this study provide a reference for healthcare providers when predicting the NMS characteristics induced by each drug in patients, thereby facilitating the effective treatment of schizophrenia.

Understanding disparities in cardiovascular death rates among older adults with sick sinus syndrome in the US.

Background: Sick sinus syndrome (SSS) increases with age, and approximately one in 600 patients above 65 develop this condition. In this study, the authors assessed trends in mortality related to SSS among older adults ≥65 years of age in the United States from 1999 to 2019. Methods: Trends in cardiovascular mortality related to SSS were identified by analyzing the data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database, where cardiovascular deaths were listed as the underlying cause of death and SSS was listed as the contributing cause of death between 1999 and 2019. Age-adjusted mortality rates (AAMR) per 1,000,000 population were determined. Results: Between 1999 and 2019, a total of 41,615 SSS-related deaths occurred in older adults. Of these, 17,466 (41.9%) were men and 24,149 (58.1%) were women. Although a decline in cardiovascular mortality related to SSS was apparent from 1999 to 2014, a steep rise was noted from 2014 to 2019 [Annual Percentage Change (APC): 2.9%; 95% CI, 1.5-5.7]. Overall AAMRs were highest among White men (AAMR: 55.8; 95% CI, 54.9-56.6), followed by Black men (AAMR: 44.8; 95% CI, 42-47.6), White women (AAMR: 43.3; 95% CI, 42.8-43.9), and Black women (AAMR: 39.4; 95% CI, 37.6-41.2). Rural dwellers had higher AAMRs compared to urban dwellers. Notably, rural dwellers had a period of stability between 2014 and 2019, while an increase in mortality was apparent among urban dwellers during this period. Lastly, states in the 90th percentile displayed approximately two fold higher AAMR compared to those in the bottom 10th percentile. Conclusion: Sick sinus syndrome-related mortality trends have shown a steady rise from 2014 to 2019. Moreover, NH White adults, rural dwellers, and individuals residing in the states among the 90th percentile demonstrated significantly higher AAMRs. Thus, further investigations and actions are required to reverse these rising trends.

EpiCandIn: An open online resource for epidemiology of Candida infections in India.

Background & objectives Candida spp. cause candidiasis in humans under conditions disrupting the host defence. While Candida albicans is the most reported cause of candidiasis, there is a surge in the incidence of infections by non-albicans Candida species (NACs), such as C. tropicalis, C. glabrata and C. auris. These species can infect all organs of the human body. To effectively manage these outbreaks, it is important to track the epidemiology of candidiasis. A consolidated resource describing the landscape of candidiasis in India is absent. Methods To address this gap, we have developed an online resource named Epidemiology of Candida Infections in India (EpiCandIn) by manually curating published literature on Candida infections in the Indian population obtained from PubMed and ScienceDirect databases. Results EpiCandIn contains data available since 1972 from 51 sites across 16 States and four Union Territories of India. It provides information on geographical location, Candida species, niche affected, disease characteristics and drug therapy details extracted from the publications. This resource is integrated with visualization tools. Interpretation & conclusions EpiCandIn will be useful for public health researchers and policymakers as it will help them gain insights into the emerging trends and management of Candida infections in India. It can be accessed at epicandin.bicnirrh.res.in.

An open-access database of video stimuli for action observation research in neuroimaging settings: psychometric evaluation and motion characterization.

Video presentation has become ubiquitous in paradigms investigating the neural and behavioral responses to observed actions. In spite of the great interest in uncovering the processing of observed bodily movements and actions in neuroscience and cognitive science, at present, no standardized set of video stimuli for action observation research in neuroimaging settings exists. To facilitate future action observation research, we developed an open-access database of 135 high-definition videos of a male actor performing object-oriented actions. Actions from 3 categories: kinematically natural and goal-intact (Normal), kinematically unnatural and goal-intact (How), or kinematically natural and goal-violating (What), directed toward 15 different objects were filmed from 3 angles. Psychometric evaluation of the database revealed high video recognition accuracy (Mean accuracy = 88.61 %) and substantial inter-rater agreement (Fleiss' Kappa = 0.702), establishing excellent validity and reliability. Videos' exact timing of motion onset was identified using a custom motion detection frame-differencing procedure. Based on its outcome, the videos were edited to assure that motion begins at the second frame of each video. The videos' timing of category recognition was also identified using a novel behavioral up-down staircase procedure. The identified timings can be incorporated in future experimental designs to counteract jittered stimulus onsets, thus vastly improving the sensitivity of neuroimaging experiments. All videos, their psychometric evaluations, and the timing of their frame of category recognition, as well as our custom programs for performing these evaluations on our, or on other similar video databases, are available at the Open Science Framework (https://osf.io/zexc4/).

Early prediction of grape disease attack using a hybrid classifier in association with IoT sensors.

Machine learning with IoT practices in the agriculture sector has the potential to address numerous challenges encountered by farmers, including disease prediction and estimation of soil profile. This paper extensively explores the classification of diseases in grape plants and provides detailed information about the conducted experiments. It is important to keep track of each crop's current environmental conditions because different environmental conditions, such as humidity, temperature, moisture, leaf wetness, light intensity, wind speed, and wind direction, can affect or sustain the quality of a crop. IoT will increasingly be used in precision agriculture and smart environments to detect, gather, and share data about environmental occurrences. The environmental factor that is active at all times and has an effect on a crop from its cultivation to harvest. With the aid of an IoT, we will monitor the following factors: temperature, humidity, and leaf wetness, all of which have an impact on the overall quality and lifespan of grapes. A Self-created database of weather parameter using sensors is introduced in this article. It consists of 5 categories with a total of 10,000 records. Here, experiment has been carried out using our dataset to predict grape diseases on various machines learning algorithm. The system receives overall accuracy of 98.25 % for Powdery Mildew, 98.85 % for Downy Mildew and 93.95 % for Bacterial Leaf Spot.

Towards dynamically configured databases for CIFs: the new modulated structures open database at the Bilbao Crystallographic Server.

This article presents a web-based framework to build a database without in-depth programming knowledge given a set of CIF dictionaries and a collection of CIFs. The framework consists of two main elements: the public site that displays the information contained in the CIFs in an ordered manner, and the restricted administrative site which defines how that information is stored, processed and, eventually, displayed. Thus, the web application allows users to easily explore, filter and access the data, download the original CIFs, and visualize the structures via JSmol. The modulated structures open database B-IncStrDB, the official International Union of Crystallography repository for this type of material and available through the Bilbao Crystallographic Server, has been re-implemented following the proposed framework.

Free tools for crystallographic symmetry handling and visualization.

Online courses and innovative teaching methods have triggered a trend in education, where the integration of multimedia, online resources and interactive tools is reshaping the view of both virtual and traditional classrooms. The use of interactive tools extends beyond the boundaries of the physical classroom, offering students the flexibility to access materials at their own speed and convenience and enhancing their learning experience. In the field of crystallography, there are a wide variety of free online resources such as web pages, interactive applets, databases and programs that can be implemented in fundamental crystallography courses for different academic levels and curricula. This paper discusses a variety of resources that can be helpful for crystallographic symmetry handling and visualization, discussing four specific resources in detail: the Bilbao Crystallographic Server, the Cambridge Structural Database, VESTA and Jmol. The utility of these resources is explained and shown by several illustrative examples.

A mass spectrometry database for the identification of marine animal saponin-related metabolites.

Saponins encompass a diverse group of naturally occurring glycoside molecules exhibiting amphiphilic properties and a broad range of biological activities. There is a resurgence of interest in those saponins produced by marine organisms based on their potential therapeutic benefits, application in food products and most recently their potential involvement in intra- and inter-species chemical communication. The continual advancements in liquid chromatography techniques and mass spectrometry technologies have allowed for greater detection rates, as well as improved isolation and elucidation of saponins. These factors have significantly contributed to the expansion in the catalogue of known saponin structures isolated from marine invertebrates; however, there currently exists no specific chemical library resource to accelerate the discovery process. In this study, a Marine Animal Saponin Database (MASD v1.0) has been developed to serve as a valuable chemical repository for known marine saponin-related data, including chemical formula, molecular mass and biological origin of nearly 1000 secondary metabolites associated with saponins produced by marine invertebrates. We demonstrate its application with an exemplar asteroid extract (Acanthaster cf. solaris, also known as crown-of-thorns starfish; COTS), identifying saponins from the MASD v1.0 that have been previously reported from COTS, as well as 21 saponins isolated from multiple other related asteroid species. This database will help facilitate future research endeavours, aiding researchers in exploring the vast chemical diversity of saponins produced by marine organisms and providing ecological insights, and the realisation of their potential for various applications, including as pharmaceuticals.

Post-marketing safety profile of solriamfetol: A real-world disproportionality analysis using FDA adverse event reporting system (FAERS) database.

Solriamfetol is a selective dopamine and noradrenalin reuptake inhibitor applied in adult patients with excessive daytime sleepiness (EDS) associated with narcolepsy or obstructive sleep apnea (OSA). However, the post-marketing safety profile of solriamfetol in large number of people was unrevealed. The purpose of our study is to unravel solriamfetol's adverse events (AEs) in real-world to refine medication safety using Food and Drug Administration Adverse Event Reporting System (FAERS) database. We derived the data associated with solriamfetol from FAERS between 2019 and 2023, and removed the duplicated entries. We evaluated the disproportionality of solriamfetol's AEs by reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN) and the multi-item gamma Poisson shrinker (MGPS). Among 8,846,085 AE reports, 1659 recorded solriamfetol as the 'primary suspected (PS)'. 74 significant disproportionality preferred terms (PTs) were retained across 27 organ systems. Moreover, 16 unexpected AEs not mentioned in the FDA label of solriamfetol were identified. Our findings provided the post-marketing safety profile of solriamfetol, highlighting potential solriamfetol's AEs. Further researches are significant to define the causality between solriamfetol and newly identified AEs.

The impact of statin use on short-term and long-term mortality in patients with heart failure.

Background: Heart failure (HF) is a complex disorder that has an association with increased morbidity and mortality rates globally. The association of statin use with mortality rate in individuals with HF remains unclear. Objectives: To examine the association of statin use with the short-term and long-term all-cause mortality rate in critically ill individuals with HF. Methods: We performed a retrospective cohort analysis based on the Medical Information Mart for Intensive Care (MIMIC)-IV database. The critically ill people with HF were assigned to a statin group and a non-statin group according to whether they had been treated with statin or not during hospitalization. The Kaplan-Meier (KM) method and Cox proportional hazard models were adopted to explore the link between statin administration and the 30-day, 90-day, as well as 1-year mortality rates. To ensure the robustness of the findings, a 1:1 nearest propensity-score matching (PSM) was also performed. Results: The current research included 11,381 patients for the final analysis, with 7,561 in the statin group and 3,820 in the non-statin group. After multiple confounders were adjusted, we found that the Cox regression models revealed great beneficial effects of statin therapy on the 30-day, 90-day, as well as 1-year mortality rates among critically ill individuals with HF in the fully adjusted model. PSM also achieved consistent results. After PSM, the risk of mortality reduced by 23% for the 30-day mortality (HR = 0.77, 95%CI: 0.68-0.88, p < 0.001), 16% for the 90-day mortality rate (HR = 0.84, 95%CI: 0.75-0.93, p < 0.001), and 12% for the 1-year mortality rate (HR = 0.88, 95%CI: 0.81-0.97, p = 0.007). Patients treated with rosuvastatin had the greatest reduction in mortality rate. The 30-day, 90-day, and 1-year all-cause mortality rates were remarkably lower in patients who were treated with low-dose statins. Conclusion: Our study unveiled that statin use was related to decreased short-term and long-term all-cause mortality rates in critically ill individuals with HF. Rosuvastatin was associated with the greatest reduction of all-cause mortality rates. Low-dose statins can significantly reduce short-term and long-term mortality, while high-dose statins are not significantly correlated with mortality. However, the results are not conclusive and should be interpreted with caution.

Clinical characteristics and outcomes of preterm versus term uterine rupture: a nationwide observational study.

OBJECTIVE: To assess and compare the clinical aspects of uterine rupture by dividing the gestational age at uterine rupture occurrence into < 37-week (preterm) and ≥ 37-week (term) groups. METHODS: This retrospective cohort study analyzed data from 187 acute-care hospitals across Japan and included patients who experienced uterine rupture. Data were sourced from the Diagnosis Procedure Combination inpatient database, spanning July 2010 to March 2022. The patients' characteristics, in-hospital procedures, and outcomes were compared between those with uterine rupture at < 37 and ≥ 37 weeks of gestation. The main outcomes were hysterectomy, complications, proportion of blood transfusions, and postoperative length of stay. RESULTS: A total of 298 patients were identified, with 161 in the preterm group and 137 in the term group. Placenta accreta spectrum occurred more frequently in the preterm group than in the term group (18.0% vs. 6.6%, respectively; P = 0.003). Vacuum delivery (19.0% vs. 0.6%, P < 0.001) and uterine fundal pressure (2.9% vs. 0.0%, P = 0.004) were more likely to be applied in the term group. The maternal need for mechanical ventilation (26.3% vs. 12.4%, P = 0.003), the proportion of disseminated intravascular coagulation (40.1% vs. 25.5%, P = 0.009), and the requirement for platelet transfusions (32.8% vs. 15.5%, P < 0.001) were greater in the term. The postoperative hospital stays were also longer in the term group. CONCLUSION: This study shows that individual characteristics vary with the gestational age at uterine rupture, and maternal morbidity is notably higher in term compared to preterm ruptures.

Diabetic Charcot neuroarthropathy: A threat to both limb and life.

Diabetic Charcot neuroarthropathy (DCN), first described in 1936, occurs in less than 1% of diabetic patients, but in those diabetic subjects with distal symmetrical polyneuropathy, the overall incidence increases to 30% and the risk is even greater in those with type 1 diabetes. Factors that precipitate DCN are trauma, ischaemia due to arterio-venous shunting, increased osteoclastic activity and inflammation. DCN usually presents with a painless swollen foot and/or ankle which is 'hot to the touch'. These clinical findings are soon followed by characteristic magnetic resonance imaging (MRI) abnormalities and later X-ray changes. The joints that are most typically involved in chronological order are the tarsometatarsals followed by the naviculocuniform, sub-tarsal, talonavicular and metatarsal and tarsophalangeal. The cornerstone of therapy is prolonged (3-12 months) offloading with immobilization. Bisphosphonates may possibly accelerate recovery, whereas other unproven possible therapies include rhPTH, 1-34, calcitonin and methylprednisolone, which are not only ineffective but in some cases may also prolong the time to healing. Denosumab is potentially an efficacious, if unproven, therapy to accelerate healing. The risk of amputation is high and increases in the presence of a foot ulcer. DCN is associated with manifestations of autonomic neuropathy, including cardiac denervation, so that the risks of a cardiac event and heart failure are increased with DCN. Mortality is also increased with DCN, especially in the presence of a foot ulcer. To avoid the recurrence of DCN and especially to lower the risk of the recurrence of a foot ulcer recurrence reconstructive, surgery may be needed.