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Introduction In Saudi Arabia, the epidemiology of rheumatoid arthritis (RA) is not well studied and is marked by inconsistencies in clinical diagnosis. Therefore, in this study, we explored the prevalence, clinical characteristics, and diagnostic validity of a prediction score based upon disease markers in orthropedic clinics’ patients in the Madinah region of Saudi Arabia. Method The clinical data for this retrospective cross-sectional study were retrieved from the database registry of orthopedic clinics in selected hospitals of the Medinah province of Saudi Arabia. Sociodemographic features, disease markers and the clinical characteristics were collected for a period of 6 months, from December 1, 2020, to May 31, 2021. The prediction score was generated from the sum of disease markers, coded as dichotomous variables. Results The total sample size of our study was 401. The prevalence of RA in the study subjects (n = 401) was 14.46% (n = 58). Among RA patients, the majority were females (60.3%). Painful joints (69%) and swollen joints (51.7%) were the most common clinical complaints among RA patients. RA patients suffered from arthritis (51.7%) and experienced fatigue (46.6%), weight loss (44.8%), and loss of appetite (41.4%). Diabetes (55.2%) was the most common comorbidity in the RA patients. The sensitivity and specificity of the prediction score at the criterion score of 2.5 were 67.3% and 63.0%, respectively. The area under the curve was 0.69 (95% CI [0.62–0.76]). Conclusion There was a moderately high prevalence of RA in patients visiting the orthropedic clinics of the selected hospitals of Madinah region of Saudi Arabia. The diagnostic validity of the prediction score, though promising, was slightly lower than the acceptable range.

Introduction: Computed Tomography (CT) plays a pivotal role in the diagnosis of Coronavirus Disease-2019 (COVID-19) pneumonia. Various scoring systems have also been proposed for prognostic purposes; but their validation in the Indian setting has not been widely done. Aim: To compare the CT Severity Score (CTSS) of lung involvement with the clinical severity of COVID-19 pneumonia. Materials and Methods: A single centre hospital-based cross- sectional observational study was conducted from October 2020 to April 2021 at Holy Family Hospital, New Delhi, India. Hundred hospitalised Reverse Transcription Polymerase Chain Reaction (RT-PCR) positive COVID-19 pneumonia adult patients underwent thoracic CT scans within 24 hours of hospitalisation for quantification of pulmonary involvement, which were reviewed to obtain the CTSS. The association between CTSS and the clinical profile of the patients (clinical severity of COVID-19 pneumonia at admission as per Ministry of Health and Family Welfare guidelines, duration of hospitalisation, clinical outcome, and number of co- morbidities) was determined. Fischers-exact test was used for categorical variables and the two sample Student’s t-test for continuous variables. A p-value

Introduction: Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder of the hair follicle characterized by intense discharge and pain. Recently, HS's intrinsic association with neuropsychiatric disorders has become a focus of attention, and bipolar disorder (BD) emerged as a relevant topic for such an association. Objective: This study aimed to evaluate BD's prevalence among HS patients and present the HS and BD overlap patients' demographics, detailed clinical characteristics with a discussion on aggravating factors. Patients-Method: A retrospective chart review of 247 HS outpatients (Group-1) identified eight patients with BD. The frequency of BD in HS patients is compared to psoriasis patients (Group-2) and controls (Group-3) in age- and gender-matched groups. The demographic and clinical features of the 8 patients revealing HS-BD co-existence were analysed. Results: BD (n=9) was the 7th most common co-morbidity in the HS cohort. The frequency of BD is detected as 3.6% in group 1, 0.7% (n=1) in group 2, and 0.6% (n=1) in group 3, respectively. Group 1 demonstrated an increased prevalence of BD compared to other groups (p=0.001). Of the 8 patients revealing HS and BD co-existence, 75% were active smokers, 62.5% were obese and 50% had metabolic syndrome. Conclusion: This study's results reveal that the prevalence of BD in HS patients is higher than psoriasis patients and controls. The pathogenetic mechanisms underlying BD and HS co-existence needs to be investigated further.

The prevalence of proximate risk factors for active tuberculosis (TB) in areas of high prevalence of latent tuberculosis infection (LTBI) is not clearly understood. We aimed at assessing the prevalence of non-communicable multi-morbidity focusing on diabetes mellitus (DM), malnutrition, and hypertension (HTN) as common risk factors of LTBI progressing to active TB. In a cross-sectional study, 2,351 adults (45% male and 55% female) from villages in the Kancheepuram district of South India were enrolled between 2013 and 2020. DM was defined as HbA1c >6.4%, undernutrition was defined as low body mass index (LBMI) 130 mmHg, and LTBI was defined as positive (≥ 0.35 international units/ml) by QuantiFERON Gold In-Tube assay. A total of 1,226 individuals (52%) were positive for LTBI out of 2351 tested individuals. The prevalence of DM and pre-diabetes mellitus (PDM) was 21 and 35%, respectively, HTN was 15% in latent tuberculosis (LTB)-infected individuals. The association of DM [odds ratio (OR)]; adjusted odds ratio (aOR) (OR = 1.26, 95% CI: 1.13–1.65; aOR = 1.19, 95% CI: 1.10–1.58), PDM (OR = 1.11, 95% CI: 1.0–1.35), and HTN (OR = 1.28, 95% CI: 1.11–1.62; aOR = 1.18, 95% CI: 1.0–1.56) poses as risk factors of LTBI progression to active TB. The prevalence of LBMI 9% (OR = 1.07, 95% CI: 0.78–1.48) and obesity 42% (OR = 0.85, 95% CI: 0.70–1.03) did not show any statistically significant association with LTB-infected individuals. The present evidence of a high burden of multi-morbidity suggests that proximate risk factors of active TB in LTBI can be managed by nutrition and lifestyle modification.

Recent advances in the field of proteomics have allowed extensive insights into the molecular regulations of the cell proteome. Specifically, this allows researchers to dissect a multitude of signaling arrays while targeting for the discovery of novel protein signatures. These approaches based on data mining are becoming increasingly powerful for identifying both potential disease mechanisms as well as indicators for disease progression and overall survival predictive and prognostic molecular markers for cancer. Furthermore, mass spectrometry (MS) integrations satisfy the ongoing demand for in-depth biomarker validation. For the purpose of this review, we will highlight the current developments based on MS sensitivity, to place quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data for future applications in cancer precision medicine. We will also discuss malignancies associated with oncogenic viruses such as Acquire Immunodeficiency Syndrome (AIDS) and suggest novel mechanisms behind this phenomenon. Human Immunodeficiency Virus type-1 (HIV-1) proteins are known to be oncogenic per se, to induce oxidative and endoplasmic reticulum stresses, and to be released from the infected or expressing cells. HIV-1 proteins can act alone or in collaboration with other known oncoproteins, which cause the bulk of malignancies in people living with HIV-1 on ART.

Maternal morbidity presents a growing challenge to the American healthcare system and increasing numbers of patients are requiring higher levels of care in pregnancy. Identifying patients at high risk for critical care interventions, including intensive care unit admission, during delivery hospitalizations may facilitate appropriate multidisciplinary planning and lead to improved maternal safety. Baseline risk factors for critical care in pregnancy have not been well-described previously. This study assesses baseline factors associated with critical care interventions that were present at admission for delivery. This is a secondary analysis of a multicenter observational registry of pregnancy after prior uterine surgery and primary cesarean delivery. All women with known gestational age were included. The primary outcome measure was a composite of critical care interventions that included postpartum intensive care unit admission, mechanical ventilation, central intravenous access, and arterial line placement. Risk for this critical care outcome measure was compared by selected baseline and obstetric characteristics known at the time of hospital admission, including maternal age, pre-pregnancy BMI, race, maternal co-morbidities, parity, and plurality. We evaluated these potential predictors and fit a multivariable logistic regression model to ascertain the most significant risk factors for critical care during a delivery hospitalization. 73,096 of 73,257 women in the parent trial met inclusion criteria, of whom 505 underwent a critical care intervention (0.7%). In the adjusted model, heart disease [aOR = 10.05, CI = 6.97 − 14.49], renal disease [aOR = 2.78, CI = 1.49 − 5.18], and connective tissue disease [aOR = 3.27, CI = 1.52 − 6.99], as well as hypertensive disorders of pregnancy [aOR = 2.04, CI = 1.31 − 3.17] were associated with the greatest odds of critical care intervention [p <.01] (Table 2). Other predictors associated with increased risk included maternal age, African American race, smoking, diabetes, asthma, anemia, nulliparity, and twin pregnancy. In this cohort, women with cardiac disease, renal disease, connective tissue disease and preeclampsia spectrum disorders were at increased risk for critical care interventions. Obstetric providers should assess patient risk routinely, ensure appropriate maternal level of care, and create multidisciplinary plans to improve maternal safety and reduce risk. [ABSTRACT FROM AUTHOR]

Aim: The aim was to describe the demographics, comorbidities and outcomes of care for patients with diabetes at primary care facilities in the Western Cape, South Africa, between 2015 and 2020.Methods: This was a secondary analysis of the diabetes cascade database.Results: The database included 116726 patients with mean age of 61.4 years and 63.8 % were female. The mean age at death was 66.0 years. Co-morbidities included hypertension (69.5 %), mental health disorders (16.2 %), HIV (6.4 %) and previous TB (8.2 %). Sixty-three percent had at least one previous hospital admission and 20.2 % of all admissions were attributed to cardiovascular diseases. Coronavirus was the third highest reason for admission over a 10-year period. Up to 70% were not receiving an annual HbA1c test. The mean value for the last HBA1c taken was 9.0%. Three-quarters (75.5 %) of patients had poor glycaemic control (HbA1c >7 %) and a third (33.7 %) were very poorly controlled (HbA1c>10 %). Glycaemic control was significantly different between urban sub-districts and rural areas. Renal disease was prevalent in 25.5 %.Conclusion: Diabetes was poorly controlled with high morbidity and mortality. There was poor compliance with guidelines for HbA1c and eGFR measurement. At least 7% of diabetic patients were being admitted for complications annually. [ABSTRACT FROM AUTHOR]

Background: Childhood maltreatment (CM) is a known risk factor for the development of mental disorders. An extensive body of literature about CM and mental health has been developed in wealthy countries, but information about this connection is lacking in developing countries including China. Aims: To explore the possible relationship between specific types of CM and borderline personality disorder (BPD) in patients with mental disorders in China. Methods: A survey was conducted in 2006, involving over 3,402 Chinese individuals aged 18–60 years who were randomly selected from the outpatients in the Shanghai Mental Health Center. The patients were screened with the Personality Diagnostic Questionnaire and CM was assessed using the Childhood Trauma Questionnaire. The final sample comprised 178 patients with BPD, 178 patients with other personality disorders (PDs), and 178 patients without PDs. Results: In Chinese patients, compared to other PDs, patients with BPDs are more likely to have experienced CM. Emotional maltreatment (emotional abuse and neglect) was the strongest predictor of BPD. Female gender and sexual abuse are significant predictors of the self-harm/suicidal risk of BPD patients. Conclusion: This is a pioneering study conducted on a large set of Chinese clinical samples with paired controls to establish and compare the associations between specific CM and BPD. Further studies in this field are necessary to elucidate the mechanism of how various types of childhood trauma have influenced PDs. [ABSTRACT FROM AUTHOR]

Background: This study investigated the association between posttraumatic stress disorder (PTSD), psychiatric co-morbidity and posttraumatic growth (PTG) among Chinese adolescents using network analysis.Methods: 867 Chinese adolescents (male = 424, female = 443) were recruited from three secondary schools. They completed the Posttraumatic Stress Disorder Checklist for DSM-5, the Posttraumatic Growth Inventory, and the General Health Questionnaire-28.Results: Domains of each construct mainly clustered within their respective communities with several bridging edges identified. The prominent roles of bridging nodes and edges (positive and negative) were highlighted. Key bridging nodes were negative alterations in cognitions and mood for PTSD, anxiety and insomnia for psychiatric co-morbidity and appreciation of life for PTG.Limitations: The cross-sectional nature of the present study may preclude the identification of real causal relationships between nodes.Conclusions: Following a trauma, adolescents displayed posttraumatic stress along with general psychological disorder symptoms. These distress reactions could affect the way they appreciated life and their motivation to seek future life possibilities. Findings from the current study may provide some clue for the facilitation of posttraumatic growth among clinical patients. [ABSTRACT FROM AUTHOR]

Psoriatic arthritis (PsA), an inflammatory seronegative spondyloarthropathy is the most common co-morbidity of psoriasis (PsO), in almost 30% of cases. Delayed diagnosis and treatment of PsA may result in irreversible joint damage, significant morbidity, impaired quality of life, and several cardiometabolic and cerebrovascular co-morbidities. Dermatologists are uniquely privileged to be able to diagnose latent PsA at an early stage, as almost 80% of these patients present with pre-existing cutaneous PsO. This review provides a detailed overview of PsA along with its salient clinical features, classification criteria, screening tools, simple physical examination maneuvers, imaging findings, and therapeutic options to acquaint dermatologists and other clinicians with this morbid musculoskeletal disorder. We hope to generate awareness about this condition among dermatologists to enable proactive screening of all PsO patients for early diagnosis, initiation of appropriate treatment, and prompt referral to a rheumatologist; thus, helping to arrest PsA disease progression, irreversible joint damage, and subsequent permanent disability. [ABSTRACT FROM AUTHOR]

Background: The Corona virus Disease 2019 (COVID-19) pandemic serve as major challenge worldwide. It created a chaos in the government, healthcare sectors, businesses and ordinary people. The nurse is the front liner in responding major situation pertaining to health care delivery services. It is necessary for nurses to possess knowledge, skills and character in handling difficult situation. Nurses serve as change agent in the society and were considered modern superheroes. Nursing serves as integral part in providing health care services and function uniquely to assist individual, family, and community. The nursing care process focused on entity that promote caring in preserving, assisting well-being to achieved physical, emotional, psychological and spiritual health. Purpose: The aim of the study to exploring experiences of ED nurses withstanding Covid-19 patients. The character of nurses' being resilience in dealing the crisis, strengthen readiness and accelerate recovery from the crisis and look the epistemology as change agent in the society as leader and as health advocate. Methods: A non-probability sampling technique was utilized in this study specifically purposive sampling. This technique is used in the study where samples are selected based on the characteristics of a population and the objective of the study (Crossman, 2016) [5]. The researchers have selected 10 participants with the following inclusion criteria: (1) must be registered nurse, (2) nurse working at the emergency room, (3) with a minimum work experience of 6 months in the facility (4) undergo training and seminar in handling pandemic. Results: Based on the extracted responses from a semistructured one-on-one interview with Covid-19 Nurse front liners, the following themes are (1) Knowledge inherent in clinical practice, (2) Patient care and decision making amidst pandemic, (3) Epistemology of Nurse leader in patient outcome. Conclusion: Nurses who are at the frontline service and are currently working in hospitals have different interventions in providing healthcare services to COVID-19 patients. Nursing practice involve different aspect like critical appraisal, evidence base practice and understanding the patient. Knowledge in caring and engaging epistemology of caring will provide strategic platform in responding the pandemic. [ABSTRACT FROM AUTHOR]

Hemifacial spasm (HFS) and temporomandibular joint (TMJ) pain are common facial diseases which cause depression, anxiety, insomnia, and poor quality of life. However, currently there are still no effective therapies to treat HFS and TMJ. Electroacupuncture (EA) has advantages of safety, rapid work, easy operation and convenience. Here, we reported a case of a 50-year-old woman who presented with irregular spasm of eyelids and facial muscles on the left side, and TMJ pain on the right side. The patient had been treated with carbamazepine (20mg per day) and alternative therapies for a year, but still not much improvement in the symptoms. The scores of the Jankovic Rating Scale (JRS), global rating scale (GRS), and visual analog scale (VAS) were 7, 60, and 7 points, respectively. The EMG test showed that the spastic side had higher R1 amplitude, longer R2 duration, and larger R2 area than the non-spasmodic side, and the occurrence rate of the lateral spread responses (LSR) in the Orbicularis oris and the Orbicularis oculi muscle was 60% and 40%, respectively. We considered this patient had left HFS and right TMJ pain. EA was successfully undertaken for two periods over 30 weeks. After EA, JRS and VAS were reduced sharply, and the symptoms of HFS were stable without recurrence. However, the frequency of the lower eyelid increased gradually during the 6-month follow-up. These findings reveal that EA with the frequency of 2 Hz and intensity of ~ 1–2 mA may be a benefit for alleviating symptoms of HFS and TMJ pain without adverse reaction. The potential mechanisms of EA in HFS and TMJ pain co-morbidity involve brain stem mechanism and DNIC mechanism for distal acupuncture and segmental mechanism for local acupuncture analgesia. [ABSTRACT FROM AUTHOR]

Background and Aims: Coronavirus disease 2019 (COVID 19) has spread to every corner of the world and has led to significant health consequences, especially in patients with co morbidities. This study aimed to estimate the prevalence of co morbidities among COVID 19 patients in the Indian population and their association with mortality. Methods: PubMed, Google Scholar, and World Health Organization website were searched for Indian studies on COVID 19 published from February 2020 up to 20 May 2021. English language publications from India, studies reporting epidemiological characteristics, prevalence of co morbidities and in hospital mortality were included in the meta analysis. Results: 34 studies were identified with a total of 23,034 patients. The pooled prevalence for co morbidities in COVID 19 patients was 18.1% [95% confidence interval (CI), 13.3 to 24.3%] for hypertension, 17.7% (95% CI, 12.2 to 25.1%) for diabetes, 7.9% (95% CI, 4.6 to 13.4%) for hypothyroidism and 7.7%(95% CI, 4.8 to 12. 1%) for cardiovascular diseases. For chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), cerebrovascular diseases, asthma, chronic liver disease, tuberculosis and cancer, the pooled prevalence was less than 4%. Additionally, the mortality risk was increased significantly in patients with CKD [odds ratio (OR) = 4.1], COPD (OR = 3.9), diabetes (OR = 3.7), cardiovascular diseases (OR = 4.07), tuberculosis (OR = 6.11), chronic liver disease (OR = 8.5), malignancy (OR = 1.89) and hypertension (OR = 2.9). Cerebrovascular diseases, hypothyroidism and asthma were not associated with increased mortality. Conclusion: Co-morbidities are more prevalent in COVID 19 hospitalised patients and the presence of co morbidities is associated with increased risk of mortality in Indian COVID 19 patients. [ABSTRACT FROM AUTHOR]

Background: Diabetic mellitus (DM) and cardiovascular diseases (CVD) cause significant healthcare burden globally and often co-exists. Current approaches often fail to identify many people with co-occurrence of DM and CVD, leading to delay in healthcare seeking, increased complications and morbidity. In this paper, we aimed to develop and evaluate a two-stage machine learning (ML) model to predict the co-occurrence of DM and CVD. Methods: We used the diabetes complications screening research initiative (DiScRi) dataset containing >200 variables from >2000 participants. In the first stage, we used two ML models (logistic regression and Evimp functions) implemented in multivariate adaptive regression splines model to infer the significant common risk factors for DM and CVD and applied the correlation matrix to reduce redundancy. In the second stage, we used classification and regression algorithm to develop our model. We evaluated the prediction models using prediction accuracy, sensitivity and specificity as performance metrics. Results: Common risk factors for DM and CVD co-occurrence was family history of the diseases, gender, deep breathing heart rate change, lying to standing blood pressure change, HbA1c, HDL and TC\HDL ratio. The predictive model showed that the participants with HbA1c >6.45 and TC\HDL ratio > 5.5 were at risk of developing both diseases (97.9% probability). In contrast, participants with HbA1c >6.45 and TC\HDL ratio ≤ 5.5 were more likely to have only DM (84.5% probability) and those with HbA1c ≤5.45 and HDL >1.45 were likely to be healthy (82.4%. probability). Further, participants with HbA1c ≤5.45 and HDL <1.45 were at risk of only CVD (100% probability). The predictive accuracy of the ML model to detect co-occurrence of DM and CVD is 94.09%, sensitivity 93.5%, and specificity 95.8%. Conclusions: Our ML model can significantly predict with high accuracy the co-occurrence of DM and CVD in people attending a screening program. This might help in early detection of patients with DM and CVD who could benefit from preventive treatment and reduce future healthcare burden. [ABSTRACT FROM AUTHOR]

Introduction: Since the end of 2019, a novel Coronavirus Disease 2019 (COVID-19), declared a pandemic by World Health Organization (WHO) has ravaged the world. Diabetic patients have been reported to be more susceptible to intensive care admissions, and deaths due to COVID-19. Diabetes Mellitus (DM) and COVID-19, both associated with chronic and acute inflammation respectively can impact each other in terms of clinical progression and outcome. Given the novelty of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) pathogen, there is need to update and increase the limited evidence on the probability of DM acting as a risk factor and influencing disease severity and progression. Aim: To compare the markers of inflammation and coagulation dysfunction between COVID-19 patients with and without DM as co-morbidity and thereby to study the effect DM has on the prognosis of COVID-19. Materials and Methods: This was a retrospective, observational, single-centre study, conducted Department of Biochemistry at Gauhati Medical College and Hospital, Guwahati, Assam, India, from January 2021 to June 2021. Clinical and laboratory data of 500 laboratory confirmed COVID-19 patients were reviewed in this study. The patients were grouped as diabetic case group and non diabetic control group. Data was presented as percentages for categorical variables and median (interquartile range) for continuous variables. Chi-square test was used to see the association of different qualitative information and Mann-Whitney U test was used to see the association of quantitative data and all p-values were given for justification. A p-value <0.05 was considered statistically significant. Results: The sample included 300 diabetic and 200 non diabetic COVID-19 patients. The mean age non diabetic patients (47.5 years) was significantly less as compared to the diabetic group (54.5 years), p-value <0.001. The serum level of inflammatory biomarkers, C-Reactive Protein (CRP), ferritin, and markers of hypercoagulable state, D-dimer, was found to be significantly high (p-value <0.001) in diabetic patients as compared to non diabetic patients. Diabetics had a poor prognosis with 231 (77%) receiving oxygen as compared to 51 (25.5%) of non diabetic patients. Total 173 (57.7%) of diabetic COVID-19 patients had to be shifted to ICU, 201 (67%) suffered from post COVID-19 complications and the mortality rate was higher at 18% in diabetics as compared to 1.5% in non diabetic subjects. Conclusion: Diabetic patients are at higher risk of uncontrolled inflammation and hypercoagulable state which eventually leads to deterioration of COVID-19 infection status. [ABSTRACT FROM AUTHOR]

A novel coronavirus (COVID-19) has emerged as a global serious public health issue from December 2019. People having a weak immune system are more susceptible to coronavirus infection. It is a double challenge for people of any age with certain underlying medical conditions including cardiovascular disease, diabetes, high blood pressure and cancer etc. Co-morbidity increases the probability of COVID-19 complication. In this paper a deterministic compartmental model is formulated to understand the transmission dynamics of COVID-19. Rigorous mathematical analysis of the model shows that it exhibits backward bifurcation phenomenon when the basic reproduction number is less than unity. For the case of no re-infection it is shown that having the reproduction number less than one is necessary and sufficient for the effective control of COVID-19, that is, the disease free equilibrium is globally asymptotically stable when the reproduction threshold is less than unity. Furthermore, in the absence of reinfection, a unique endemic equilibrium of the model exists which is globally asymptotically stable whenever the reproduction number is greater than unity. Numerical simulations of the model, using data relevant to COVID-19 transmission dynamics, show that the use of efficacious face masks publicly could lead to the elimination of COVID-19 up to a satisfactory level. The study also shows that in the presence of co-morbidity, the disease increases significantly. [ABSTRACT FROM AUTHOR]

Objective: To appraise the methodological quality of studies on the prevalence of psychiatric comorbidities for children presenting with gender dysphoria, including diagnosis and management. Study design: A systematic review of 15 articles on psychiatric comorbidities for children diagnosed with gender dysphoria between the ages of two – 12 years. Data sources: A systematic literature search of Medline, PsychINFO, CINAHL, Scopus and Web of Science for English-only studies published from 1980 to 2019, supplemented by other sources. Of 736 studies, 721 were removed following title, abstract or full-text review. Results: Ten studies were retrospectively-oriented clinical case series or observational studies. There were few randomised, controlled trials. Over 80% of the data came from gender clinics in the United States and the Netherlands. Funding or conflicts of interest were often not declared. Mood and anxiety disorders were the most common psychiatric conditions studied. There was little research on complex comorbidities. One quarter of studies made a diagnosis by a comprehensive psychological assessment. A wide range of psychological tests was used for screening or diagnostic purposes. Over half of the studies diagnosed gender dysphoria using evidence-based criteria. A quarter of the studies mentioned treating serious psychopathology prior to addressing gender dysphoria. KEY POINTS What is already known about this topic: Children with gender dysphoria are likely to experience profound psychological and physical difficulties. Gender clinics around the world have different ways of assessing and treating children with gender dysphoria. Children often rely on caregivers and health professionals to make treatment decisions on their behalf. What this topic adds: Children with gender dysphoria often experience a range of psychiatric comorbidities, with a high prevalence of mood and anxiety disorders, trauma, eating disorders and autism spectrum conditions, suicidality and self-harm. It is vitally important to consider psychiatric comorbidities when prioritising and sequencing treatments for children with gender dysphoria. The development of international treatment guidelines would provide greater consistency across diagnosis, treatment and ongoing management.

Background: Diabetes mellitus (DM) describes a group of metabolic disorders characterized by high blood glucose levels. People with diabetes have an increased risk of developing a number of serious life-threatening health problems resulting in higher medical care costs, reduced quality of life and increased mortality. Knowledge of the prevalence about coexisting medical conditions in specific population groups helps healthcare providers and policymakers to allocate health resources efficiently and tailor diabetic care management to effectively utilize healthcare programs while decreasing healthcare expenditure. Aims and Objectives: To find out the pattern of comorbidity burden among Type-II diabetes mellitus patients attending outpatient department of a rural tertiary care institute of North India. Materials and Methods: Study setting: Outpatient department (OPD) of General Medicine of Rural Tertiary Care Institute in North India. Study design: Descriptive, cross-sectional. Study population: Patients who had already been diagnosed by a physician of having Type 2 diabetes mellitus (T2DM) and attended OPD for follow-up during study period i.e. 1st November 2019 to 31st January 2020. Results: Among 82 study participants, 36 were males and 46 females. A total of sixty-six study participants had co-morbidities along with diabetes mellitus. Most common co-morbidity recorded was related to cardiovascular system and neuropathies. Adherence to treatment was followed by 46 (56%) and dietary advice by 42 (51%) study participants. Conclusion: In light of the chronicity of the disease and increasing prevalence of diabetes with associated comorbid conditions, there is a need for clearcut guidelines to address health risks of diabetes with other comorbid conditions. There should be provision for regular formal health education sessions to address co-morbidities, complications due to diabetes.

Abstract Background Benign prostatic obstruction (BPO) due to benign prostatic hyperplasia (BPH) is a leading cause of morbidity in men over the age of 40. This study examined whether there was an association between body mass index (BMI) and pre-operative prostate volume and whether expression of two genes, alpha-2-macroglobulin (A2M) and transforming growth factor beta 3 (TGFB3), was correlated with BMI, pre-operative prostate volume, and age at surgery. Methods Medical records of patients who underwent holmium enucleation of the prostate surgery for treatment of BPO were retrospectively reviewed. Surgical specimens were obtained from formalin-fixed paraffin-embedded blocks, and expression of the targeted genes was quantified using a real time PCR approach. Linear regression analysis was performed to assess association between BMI and prostate volume adjusting for demographic characteristics and co-morbidity. Spearman’s correlation was used to examine whether gene expression was correlated with BMI, prostate volume, and age at surgery. Results A total of 278 patients were identified, including 62.9% European Americans (n = 175) and 27.7% Hispanic Americans (n = 77). BMI was significantly correlated with prostate volume (Spearman’s rho = 0.123, P = 0.045). In linear regression analysis, BMI was positively associated with prostate volume (β = 0.01, P = 0.004), while hyperlipidemia was negatively associated with prostate volume (β = −0.08, P = 0.02). A trend for a positive association was also observed for diabetes (β = 0.07, P = 0.099). In the race/ethnicity stratified analysis, age at surgery showed a trend for significantly positive association with prostate volume in European Americans (β = 0.005, P = 0.08), but not in Hispanic Americans. Expression of the A2M gene in the stroma was negatively correlated with age at surgery (P = 0.006). A2M expression in the gland was positively correlated with prostate volume among older men (Age ≥ 70, P = 0.01) and overweight men (BMI 25–30, P = 0.04). TGFB3 expression in the gland was positively correlated with BMI (P = 0.007) among older men. Conclusions This study demonstrated the positive correlation between BMI and prostate volume. Expression of TGFB3 and A2M was correlated with BMI, prostate volume, and age at surgery.

Epilepsy is common in Rett syndrome, an X-linked dominant disorder caused by mutations in the MECP2 gene, and in Rett-related disorders, such as MECP2 duplication. However, neither the longitudinal course of epilepsy nor the patterns of seizure onset and remission have been described in Rett syndrome and related conditions. The present study summarizes the findings of the Rett syndrome Natural History study. Participants with clinical Rett syndrome and those with MECP2 mutations without the clinical syndrome were recruited through the Rett Natural History study from 2006 to 2015. Clinical details were collected, and cumulative lifetime prevalence of epilepsy was determined using the Kaplan-Meier estimator. Risk factors for epilepsy were assessed using Cox proportional hazards models. Of 1205 participants enrolled in the study, 922 had classic Rett syndrome, and 778 of these were followed longitudinally for 3939 person-years. The diagnosis of atypical Rett syndrome with a severe clinical phenotype was associated with higher prevalence of epilepsy than those with classic Rett syndrome. While point prevalence of active seizures ranged from 30% to 44%, the estimated cumulative lifetime prevalence of epilepsy using Kaplan-Meier approached 90%. Specific MECP2 mutations were not significantly associated with either seizure prevalence or seizure severity. In contrast, many clinical features were associated with seizure prevalence; frequency of hospitalizations, inability to walk, bradykinesia, scoliosis, gastrostomy feeding, age of seizure onset, and late age of diagnosis were independently associated with higher odds of an individual having epilepsy. Aggressive behaviour was associated with lower odds. Three distinct patterns of seizure prevalence emerged in classic Rett syndrome, including those who did not have seizures throughout the study, those who had frequent relapse and remission, and those who had relentless seizures. Although 248 of those with classic Rett syndrome and a history of seizures were in terminal remission at last contact, only 74 (12% of those with a history of epilepsy) were seizure free and off anti-seizure medication. When studied longitudinally, point prevalence of active seizures is relatively low in Rett syndrome, although lifetime risk of epilepsy is higher than previously reported. While daily seizures are uncommon in Rett syndrome, prolonged remission is less common than in other causes of childhood onset epilepsy. Complete remission off anti-seizure medications is possible, but future efforts should be directed at determining what factors predict when withdrawal of medications in those who are seizure free is propitious.

Idiopathic pulmonary fibrosis (IPF), a fibrosing interstitial pneumonia of unknown etiology, primarily affects older adults and leads to a progressive decline in lung function and quality of life. With a median survival of 3-5 years, IPF is the most common and deadly of the idiopathic interstitial pneumonias. Despite the poor survivorship, there exists substantial variation in disease progression, making accurate prognostication difficult. Lung transplantation remains the sole curative intervention in IPF, but two anti-fibrotic therapies were recently shown to slow pulmonary function decline and are now approved for the treatment of IPF in many countries around the world. While the approval of these therapies represents an important first step in combatting of this devastating disease, a comprehensive approach to diagnosing and treating patients with IPF remains critically important. Included in this comprehensive assessment is the recognition and appropriate management of comorbid conditions. Though IPF is characterized by single organ involvement, many comorbid conditions occur within other organ systems. Common cardiovascular processes include coronary artery disease and pulmonary hypertension (PH), while gastroesophageal reflux and hiatal hernia are the most commonly encountered gastrointestinal disorders. Hematologic abnormalities appear to place patients with IPF at increased risk of venous thromboembolism, while diabetes mellitus (DM) and hypothyroidism are prevalent metabolic disorders. Several pulmonary comorbidities have also been linked to IPF, and include emphysema, lung cancer, and obstructive sleep apnea. While the treatment of some comorbid conditions, such as CAD, DM, and hypothyroidism is recommended irrespective of IPF, the benefit of treating others, such as gastroesophageal reflux and PH, remains unclear. In this review, we highlight common comorbid conditions encountered in IPF, discuss disease-specific diagnostic modalities, and review the current state of treatment data for several key comorbidities.

Autism spectrum disorder (ASD) is characterized by deficits in sociability and communication, and increased repetitive and/or restrictive behaviors. While the etio-pathogenesis of ASD is unknown, clinical manifestations are diverse and many possible genetic and environmental factors have been implicated. As such, it has been a great challenge to identify key neurobiological mechanisms and to develop effective treatments. Current therapies focus on co-morbid conditions (such as epileptic seizures and sleep disturbances) and there is no cure for the core symptoms. Recent studies have increasingly implicated mitochondrial dysfunction in ASD. The fact that mitochondria are an integral part of diverse cellular functions and are susceptible to many insults could explain how a wide range of factors can contribute to a consistent behavioral phenotype in ASD. Meanwhile, the high-fat, low-carbohydrate ketogenic diet (KD), used for nearly a century to treat medically intractable epilepsy, has been shown to enhance mitochondrial function through a multiplicity of mechanisms and affect additional molecular targets that may address symptoms and comorbidities of ASD. Here, we review the evidence for the use of metabolism-based therapies such as the KD in the treatment of ASD as well as emerging co-morbid models of epilepsy and autism. Future research directions aimed at validating such therapeutic approaches and identifying additional and novel mechanistic targets are also discussed.

Introduction: Pre-existing respiratory diseases were recognised as risk factors for COVID-19 associated morbidity and mortality. One year after the launch of vaccines against COVID-19, vaccination status in specific population was not clear. Vaccination of population at risk is crucial for COVID-19 control. Aim: To estimate the COVID-19 vaccination status and to detect the reasons for vaccine hesitancy among people with chronic respiratory diseases. Materials and Methods: This cross-sectional observational study was conducted in Respiratory Medicine Department at Narayana Medical College, Nellore, Andhra Pradesh, India, from January 2022 and February 2022. All the patients above 18 years of age, who presented with chronic respiratory diseases, were included in the study. After taking informed consent, their responses were noted using a validated questionnaire containing data like demographic data and details of vaccination against COVID-19 and reasons for refusal/hesitancy. Results: Out of total 755 subjects, 44.50% were of Chronic Obstructive Pulmonary Disease (COPD), 42.38% were of asthma, 9.40% were of Post-tuberculosis lung disease, 2.52% were of bronchiectasis, and 1.72% were of Interstitial Lung Disease (ILD). Mean age of study population was 51.37±15.30 years, 58% were male and 42% were female. Overall, 75% subjects received atleast single dose of COVID-19 vaccine. Higher vaccine acceptance was noted among 31-42 years age group, males, residents of rural area, graduates, subjects with income more than one lac per month and smokers. Vaccine hesitancy was 25%. Intake of a native medicine (72.87%) was the most common cause for vaccine refusal among these subjects. Other reasons for vaccine hesitancy were, worries about side-effects (63.3%), associated multiple co-morbidities (44.15%), lack of confidence in vaccines (15.96%) and fear of injection (14.89%). Conclusion: Vaccine acceptance against COVID-19 is nearly 75% among people with chronic respiratory diseases in India. Nonetheless, some people were still hesitant to receive vaccine. Continuous health education at every level is needed to achieve vaccination targets.

Introduction: Sepsis has a death rate of ∼25% globally and its clinical treatment presents an important clinical challenge. The rapid progression of sepsis requires correspondingly swift adjustments in therapy, and accurate identification of disease severity is therefore vitally important for predicting prognosis, treatment, preventing complications, reducing complication and mortality. With this background, the present research is aimed to study the relation of serum procalcitonin levels in cases with sepsis, to calculate APACHE II scores and to correlate the levels of serum PCT levels with APACHE II Score with the outcome. Methodology: This was a prospective observational non interventional cohort study was conducted in the Clinic of Intensive Care unit of a tertiary care hospital and medical college in western India from May 2020 to December 2020. Results: A total of 75 patients, admitted to the ICU with the diagnosis of sepsis, were included in this prospective observational study. Of them 47 (62.7%) were males and highest cases were aged between 60 to 69 years. Of the total 75 patients, 47 (62.7%) patients were survivors. Age, gender and involvement of system were not associated with mortality while lower APACHE II score and presence of co-morbidities were significantly associated with mortality. Conclusion: From this study we conclude that the lower APCHE II score and presence of co-morbidity significantly increases the mortality in ICU patients admitted with sepsis.

Introduction: Since the end of 2019, a novel Coronavirus Disease 2019 (COVID-19), declared a pandemic by World Health Organisation (WHO) has ravaged the world. Diabetic patients have been reported to be more susceptible to intensive care admissions, and deaths due to COVID-19. Diabetes Mellitus (DM) and COVID-19, both associated with chronic and acute inflammation respectively can impact each other in terms of clinical progression and outcome. Given the novelty of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) pathogen, there is need to update and increase the limited evidence on the probability of DM acting as a risk factor and influencing disease severity and progression. Aim: To compare the markers of inflammation and coagulation dysfunction between COVID-19 patients with and without DM as co-morbidity and thereby, to study the effect DM has on the prognosis of COVID-19. Materials and Methods: This was a retrospective, observational, single-centre study, conducted Department of Biochemistry at Gauhati Medical College and Hospital, Guwahati, Assam, India, from January 2021 to June 2021. Clinical and laboratory data of 500 laboratory confirmed COVID-19 patients were reviewed in the present study. The patients were grouped as diabetic case group and non diabetic control group. Data was presented as percentages for categorical variables and median (interquartile range) for continuous variables. Chi-square test was used to see the association of different qualitative information and Mann-Whitney U test was used to see the association of quantitative data and all p-values were given for justification. A p-value

Hemifacial spasm (HFS) and temporomandibular joint (TMJ) pain are common facial diseases which cause depression, anxiety, insomnia, and poor quality of life. However, currently there are still no effective therapies to treat HFS and TMJ. Electroacupuncture (EA) has advantages of safety, rapid work, easy operation and convenience. Here, we reported a case of a 50-year-old woman who presented with irregular spasm of eyelids and facial muscles on the left side, and TMJ pain on the right side. The patient had been treated with carbamazepine (20mg per day) and alternative therapies for a year, but still not much improvement in the symptoms. The scores of the Jankovic Rating Scale (JRS), global rating scale (GRS), and visual analog scale (VAS) were 7, 60, and 7 points, respectively. The EMG test showed that the spastic side had higher R1 amplitude, longer R2 duration, and larger R2 area than the non-spasmodic side, and the occurrence rate of the lateral spread responses (LSR) in the Orbicularis oris and the Orbicularis oculi muscle was 60% and 40%, respectively. We considered this patient had left HFS and right TMJ pain. EA was successfully undertaken for two periods over 30 weeks. After EA, JRS and VAS were reduced sharply, and the symptoms of HFS were stable without recurrence. However, the frequency of the lower eyelid increased gradually during the 6-month follow-up. These findings reveal that EA with the frequency of 2 Hz and intensity of ~ 1–2 mA may be a benefit for alleviating symptoms of HFS and TMJ pain without adverse reaction. The potential mechanisms of EA in HFS and TMJ pain co-morbidity involve brain stem mechanism and DNIC mechanism for distal acupuncture and segmental mechanism for local acupuncture analgesia.

Abstract Aims Co‐morbidities are associated with poor clinical outcomes in patients with chronic heart failure, while cardiac iodine‐123 (I‐123) metaiodobenzylguanidine (MIBG) imaging provides prognostic information in such patients. We sought to prospectively investigate the incremental prognostic value of cardiac MIBG imaging over the co‐morbid burden, in patients admitted for acute decompensated heart failure (ADHF). Methods and results In 433 consecutive ADHF patients with survival to discharge, we measured the co‐morbidity using age‐adjusted Charlson co‐morbidity index (ACCI), commonly employed to evaluate a weighted and scored co‐morbid condition, adding additional points for age. In cardiac MIBG imaging, the cardiac MIBG heart‐to‐mediastinum ratio (late HMR) was measured on the delayed image. Over a follow‐up period of 2.9 ± 1.5 years, 160 patients had a cardiac event (a composite of cardiac death and unplanned hospitalization for worsening heart failure). Patients with high ACCI (≥6: median value) had a significantly greater risk of a cardiac event. In multivariate Cox analysis, the ACCI and late HMR were significantly and independently associated with a cardiac event. In both high and low ACCI subgroups (ACCI ≥ 6 and

Abstract Background Substance use disorders show a high comorbidity with externalizing behavior difficulties, creating treatment challenges, including difficulties with compliance, a high risk of conflict, and a high rate of offending post-treatment. Compared with people with other substance use disorders those with opioid use disorders have the highest risk of criminal activity, but studies on the evidence base for psychosocial treatment in opioid agonist treatment (OAT) are scarce. The Impulsive Lifestyle Counselling (ILC) program may be associated with better retention and outcomes among difficult-to-treat patients with this comorbidity. Methods The study is a multicenter, randomized, controlled, superiority clinical trial. Participants will be a total of 137 hard-to-treat individuals enrolled in opioid agonist treatment (OAT). Participants will be randomized to either a standard treatment (14 sessions of individual manual-based cognitive behavioral therapy and motivational interviewing (MOVE-I)) or six sessions of ILC followed by nine sessions of MOVE-I. All participants will receive personalized text reminders prior to each session and vouchers for attendance, as well as medication as needed. The primary outcome is retention in treatment. Secondary measures include severity of drug use and days of criminal offending for profit three and nine months post-randomization. A secondary aim is, through a case-control study, to investigate whether participants in the trial differ from patients receiving treatment as usual in municipalities where ILC and MOVE-I have not been implemented in OAT. This will be done by comparing number of offences leading to conviction 12 months post-randomization recorded in the national criminal justice register and number of emergency room contacts 12 months post-randomization recorded in the national hospital register. Discussion This is the first randomized, controlled clinical trial in OAT to test the effectiveness of ILC against a standardized comparison with structural elements to increase the likelihood of exposure to the elements of treatment. Results obtained from this study may have important clinical, social, and economic implications for publicly funded treatment of opioid use disorder. Trial registration ISRCTN, ISRCTN19554367 , registered on 04/09/2020.

Abstract Background Tuberculosis (TB) remains a significant global public health problem. China has the second highest TB burden in the world. With a growing TB population with diabetes mellitus (DM), the TB control system faces mounting challenges. To date, evidence remains inconclusive regarding the association between TB-DM co-morbidity and delayed diagnosis of TB patients. This study aims to assess the diagnostic delay of TB patients with known DM and identify the factors associated with this delay. Methods Data was collected from China’s Tuberculosis information management system in two counties of Zhejiang province, China. Patient delay, health system delay and total diagnostic delay are defined as follows: 1) the interval between the onset of TB symptoms and first visit to any health facility; 2) from the first visit to the health facility to the confirmed TB diagnosis in the designated hospital; 3) the sum of patient and health system’s respective delays. Comparison of these delays was made between TB patients with and without DM using Mann-Whitney U test and Chi-square test. Univariate and multivariate regression analysis was used to identify factors influencing delays among TB patients with DM. Results Of 969 TB patients, 67 (7%) TB patients had DM co-morbidity. Compared with TB patients without DM, TB patients with DM experienced significantly shorter health system delays (p 14 days (7.0% vs. 18%, p 14 days. Conclusions Our study suggests that DM does not contribute to further diagnostic delay as expected. Instead, we observed significantly improved health system delay among TB patients with DM. The findings indicate the importance of early screening and diagnosis for TB among diabetic patients and of strengthening the integrated control and management of TB and diabetic programs.

Abstract Background Social Prescribing is increasingly popular, and several evaluations have shown positive results. However, Social Prescribing is an umbrella term that covers many different interventions. We aimed to test, develop and refine a programme theory explaining the underlying mechanisms operating in Social Prescribing to better enhance its effectiveness by allowing it to be targeted to those who will benefit most, when they will benefit most. Methods We conducted a realist evaluation of a large Social Prescribing organisation in the North of England. Thirty-five interviews were conducted with stakeholders (clients attending Social Prescribing, Social Prescribing staff and general practice staff). Through an iterative process of analysis, a series of context-mechanism-outcome configurations were developed, refined and retested at a workshop of 15 stakeholders. The initial programme theory was refined, retested and ‘applied’ to wider theory. Results Social Prescribing in this organisation was found to be only superficially similar to collaborative care. A complex web of contexts, mechanisms and outcomes for its clients are described. Key elements influencing outcomes described by stakeholders included social isolation and wider determinants of health; poor interagency communication for people with multiple needs. Successful Social Prescribing requires a non-stigmatising environment and person-centred care, and shares many features described by the asset-based theory of Salutogenesis. Conclusions The Social Prescribing model studied is holistic and person-centred and as such enables those with a weak sense of coherence to strengthen this, access resistance resources, and move in a health promoting or salutogenic direction.

This article provides original insight into women’s experiences of adulthood diagnoses of attention deficit hyperactivity disorder (ADHD) and autism. Research exploring experiences of adulthood diagnoses of these conditions is emerging. Yet, there is no research about the gendered experiences of an adulthood combined ADHD and autism (AuDHD) diagnosis. This article addresses this gap through interpretative phenomenological analysis of email interviews with six late-diagnosed AuDHD women revealing the complex interplay between late diagnosis, being a woman, and combined diagnoses of ADHD and autism. It underscores how gender norms and stereotypes contribute to the oversight and dismissal of women’s neurodivergence. Interpretative phenomenological analysis reveals the inextricability of femininity and neurotypicality, the gendered burden, discomfort, and adverse consequences of masking, along with the adverse outcomes of insufficient masking. Being an undiagnosed AuDHD woman is a confusing and traumatising experience with profound and enduring repercussions. The impact of female hormones exacerbated participants’ struggles with (peri)menopause often being a catalyst for seeking diagnosis after decades of trauma. The epistemic injustice of not knowing they were neurodivergent compounded this trauma. Diagnosis enabled participants to overcome epistemic injustice and moved them into a feminist standpoint from which they challenge gendered inequalities relating to neurodiversity. This article aims to increase understanding and representation of late-diagnosed AuDHD women’s lived experiences. The findings advocate for trauma-informed pre- and post-diagnosis support which addresses the gendered dimension of women’s experiences of being missed and dismissed as neurodivergent. There needs to be better clinical and public understanding of how AuDHD presents in women to prevent epistemic injustice. [ABSTRACT FROM AUTHOR]

These diverse outcomes of Covid-19 are influenced by various factors including age, gender, underlying health conditions, immune responses, viral variants, external factors, and overall quality of life. Demographic analysis of patients aged 0-18 years experienced mild to moderate cases, above 55 years with co-morbidities, were more severely affected.COVID-19 incidence was higher in males (58 %) & (42 %) in females. The reduced expression of Toll-like receptors (TLR) in severe and critical patients is a crucial determinant. This reduced TLR expression is primarily attributed to the dominance of the PLpro viral protein of COVID-19. Disease enrichment analysis highlights the long-term impact of COVID-19, which can lead to post-recovery complications such as hypertension, diabetes, cardiac diseases, and brain ischemia in Covid-19 patients. In conclusion, a comprehensive strategy targeting key factors like PLpro, TLR, and inflammatory cytokines such as IL-1 and IL-6 could offer an effective approach to mitigate the devastating effects of COVID-19. [Display omitted] [ABSTRACT FROM AUTHOR]

Comorbidities are common in children with epilepsy, with nearly half of the patients having at least one comorbidity. Attention deficit hyperactivity disorder (ADHD) is a psychiatric disorder characterized by hyperactivity and inattentiveness level disproportional to the child’s developmental stage. The burden of ADHD in children with epilepsy is high and can adversely affect the patients’ clinical outcomes, psychosocial aspects, and quality of life. Several hypotheses were proposed to explain the high burden of ADHD in childhood epilepsy; the well-established bidirectional connection and shared genetic/non-genetic factors between epilepsy and comorbid ADHD largely rule out the possibility of a chance in this association. Stimulants are effective in children with comorbid ADHD, and the current body of evidence supports their safety within the approved dose. Nonetheless, safety data should be further studied in randomized, double-blinded, placebo-controlled trials. Comorbid ADHD is still under-recognized in clinical practice. Early identification and management of comorbid ADHD are crucial to optimize the prognosis and reduce the risk of adverse long-term neurodevelopmental outcomes. The identification of the shared genetic background of epilepsy and ADHD can open the gate for tailoring treatment options for these patients through precision medicine.

Background: Wilson's disease is a hereditary disorder of copper metabolism resulting mainly in hepatic, neurological, and psychiatric symptoms. Multiple sclerosis (MS) is an immune-mediated demyelinating disease affecting the central nervous system (CNS). The co-occurrence of these two, although not unheard of in literature, is still considered to be very rare and can give rise to diagnostic difficulties. Also, comorbidity in MS highly influences quality of life and disease progression, which makes the timely diagnosis and treatment of these conditions essential.Case Presentation: The aim of this study is to present a patient exhibiting symptoms of both MS and Wilson's disease, as well as to conduct a detailed review of previously reported cases. The patient's neurological symptoms (sensory disorder) as well as MRI and CSF findings were characteristic for MS. The diagnosis of MS preceded that of Wilson's disease and was relatively mild in course. Currently, the patient receives cladribine as an immunomodulatory treatment after escalation from glatiramer acetate therapy. Apart from one episode of acute hepatic decompensation, during which transfusion, albumin supplementation and diuretic treatment was necessary, Wilson's disease manifested as chronic impairment of liver function. The diagnosis of Wilson's disease was established by the analysis of serum coeruloplasmin levels, histological examination and genetic findings. Continuous oral penicillamine therapy led to the slow normalization of hepatic function and significant amelioration of the patient's symptoms. Correlating with cases previously reported, the course of MS was relatively mild, and like in three out of four other known cases, the symptoms of Wilson's disease were mostly restricted to hepatic dysfunction.Conclusion: The case presented in our report is similar to those reported before. The co-occurrence of the two diseases seems to be more a coincidence than a sharing of common factors in their pathogenesis; however, they are considered to influence one another. Regarding rare co-occurrences such as this one, every new case is of high importance, as it enables a better evaluation and understanding of the clinical presentations that are more characteristic of these cases, thus aiding the estimation of disease course as well as possible therapeutic choices. [ABSTRACT FROM AUTHOR]