No abstract available.
Comorbidity ; Humans

Comorbidity ; Humans

No abstract available.
Comorbidity ; Osteoporosis

Comorbidity ; Humans

No abstract available.
Comorbidity ; Dyspepsia ; Humans

No abstract available.
Bipolar Disorder ; Comorbidity

No abstract available.
Comorbidity ; Conduct Disorder ; Humans

The analysis of the relationship between personality and depression can facilitate the development of subclinical preventive measures and clinical treatment schemes. Moreover, the personality is associated with a variety of mental diseases, and there is substantial comorbidity between depression and some other mental diseases. So, to reveal pathological relationships between personality and depression is helpful to understand the etiology of the comorbidity between depression and multiple mental disorders. In this review, we first summarize the empirical researches on the relationship between personality and depression from the aspects of behavior and neural mechanisms, and then discuss the hypothetical model to explain the relationship between personality and depression. In a word, high neuroticism, low extroversion and conscientiousness, and other related traits (rumination, self-criticism, dependency, etc.) have a moderate to strong correlation with depression. Among them, neuroticism is the most concerned. To a certain extent, it can predict the onset of depression and affect the duration and treatment outcome of depression. Other traits, such as positive emotionality/ extroversion and effortful control/responsibility, can moderate the relationship between negative emotionality/neuroticism and depression. And after the onset of depression, the neuroticism may change, but the extroversion does not seem to change.
Comorbidity ; Depression ; Humans ; Personality

Background: Gout is one of the most common arthritides affecting Filipinos; yet, there is a lack of updated local data and Clinical Practice Guidelines. Objective: To describe Clinical Case Scenario (CCS) of Filipino patients with gout in a tertiary referral hospital seen over a year. Design: Cross-sectional study. Methods: Patients’ characteristics, risk factors, disease course, management, and CCS were obtained by a rheumatologist using a questionnaire. Descriptive statistics were used. Results: One hundred eight patients were included with a median age of 58 (range 26–80) years. 106 were male (98%); and, 2 were female (2%) who were menopause and had chronic kidney disease (CKD). Most prevalent CCS were stages 9 (29%), 1 (16%), and 2 (15%). The majority of cases had tophi and belonged to CCS 4-9 (62%). This signifies that most patients had advanced gout. Consistent with international and local data: almost half had hypertension (46%), a third had CKD (36%). Most were ethanol drinkers (65%) and smokers (57%). Unexpectedly, not many were obese (10%) or had metabolic syndrome (2%). The initial joint involved was the ankle (52%) rather than the first metatarsophalangeal joint (40%). Almost half of the patients presented with two or more joint involvement (46%) than monoarthritis (54%). Patients with acute flare were most commonly prescribed NSAIDs (77%), followed by colchicine (62%). Most were prescribed allopurinol (44%) compared with febuxostat (37%) for urate-lowering therapy. Only 16% received patient education. Medication compliance was 65%, but follow-up compliance was less than 18%. Comparing the Filipino clinical profile to historical data suggests an increased incidence of gout in the young and an increase in comorbidity prevalence. Conclusion: This study reports a cohort of Filipino gout patients. Comorbidities are similar to world figures but differ in the low incidence of obesity and metabolic syndrome. It also differs from literature in having the ankle as the most common initial joint presentation. Management and compliance were also described. As a pilot study for a registry, this study can be implemented at different institutions to broaden and monitor the ever-changing Filipino gout profile. Recommendation A larger sample size and a more extended observation period are recommended to estimate gout CCS prevalence, flare risk factors, and treatment response more accurately. Other outcomes that can be measured are mortality rates and etiologies for each CCS.
Gout ; Classification ; Comorbidity ; Registries

Background: The prevalence of confirmed cases of COVID-19 is high and tends to continue to increase in Indonesia. Based on data, the Province of South Kalimantan, Indonesia in early mid-2021 experienced a high spike in cases, resulting in a large number of deaths, especially in Banjar Regency. Active COVID-19 cases in South Kalimantan in July 2021 were recorded at 5,279 (12.41%) out of 42,527 positive cases. Data compiled from the COVID-19 Task Force (Satgas) showed that Banjar Regency was the third highest area of the cumulative number of deaths, with as many as 47 people dying in one day. The results of many research on risk factors for COVID-19 cases vary widely. People with comorbidities are a very vulnerable group. Objective: This study aims to identify the relationship between comorbid conditions and death based on data from COVID-19 admission in the Wetland Environment community in Banjar Regency, South Kalimantan, Indonesia in the years 2020-2021. Methods: This is a retrospective analytical observational study which used purposive sampling. The data were collected from the case form report (CFR). The dependent variable in this study was inpatients at Ratu Zaleha Hospital who died and were diagnosed as positive for COVID-19, while the independent variables were age (productive/non-productive), tuberculosis, hypertension, diabetes mellitus, asthma, pneumonia, heart disease, COPD (lung disease), HIV/AIDS, chronic kidney disease (CKD), and stroke (CVA). Data were analyzed by univariate, bivariate, and multivariate analyses with logistic regression method to obtain adjusted OR. Results: Out of 700 patients with confirmed COVID-19 infection, 273 (39%) had no comorbidity while 427 (61%) had at least one comorbid condition. There were 330 (47.1%) male patients and 370 (52.9%) female patients. There were 565 (80.7%) patients who belong in the productive age and 135 (19.35%) in the nonproductive age. Results showed that age (p=0.002), asthma (p=0.026), chronic kidney disease (p=0.000), and heart disease (p=0.002) are significant risk factors of COVID-19 death in Banjar Regency. Conclusion Based on our analysis of COVID-19-related deaths in Banjar Regency in Ratu Zaleha Hospital on the year 2020-2021, diabetes, pneumonia, kidney failure, and COPD were associated with increased mortality.
COVID-19 ; Comorbidity ; Mortality