BACKGROUND AND OBJECTIVE

The Philippine Inter-Agency Task Force for the Management of Emerging Infectious Diseases implemented health protocol guidelines to reduce the risk of COVID-19 transmission. Individuals with comorbidities were advised to take precautionary measures due to their increased vulnerability. This study aimed to assess the relationship between knowledge, acceptance, and adherence to health protocols among fully vaccinated individuals with comorbidities in the National Capital Region, Philippines.

The study employed an explanatory-sequential mixed-method design. The quantitative phase involved an online survey with 384 respondents. The survey included questions on socio-demographic profile, COVID-19 knowledge, acceptability of health protocols, and adherence to preventive practices. Chi-square Test of Independence and Pearson’s Correlation Test were used to analyze the data. Semi-structured interviews were conducted with 11 participants, providing rich insights into their personal experiences. The interview transcripts were analyzed using Colaizzi’s descriptive method with the aid of qualitative analysis software (MAXQDA), ensuring a rigorous approach to thematic analysis. The integration of the two phases was achieved by connecting quantitative results with qualitative insights, creating a comprehensive understanding of the phenomena under study.

Findings showed that the relationship of sociodemographic characteristics and level of knowledge (Gender pCONCLUSION

The study suggests that multiple factors contribute to non-adherence to health protocols. Recognizing these holes and weaknesses in the COVID-19 pandemic response stresses the need for national leaders to place urgency on properly implementing preventive measures and providing health education to the masses during public health situations. Collaboration from all sectors is crucial in addressing public health crises. This study can be a valuable resource for future researchers, local government units, and policymakers in prioritizing public health care and pandemic preparedness.

Background: The global impact of the COVID-19 pandemic has been significant, affecting individuals across all health spectrums. Many have adapted their lifestyles to navigate the challenges posed by the pandemic. Despite this, there remains a lack of understanding regarding the specific lifestyle changes made by Filipinos with comorbidities during this time. Objectives: We aimed to ascertain the lifestyle changes among Filipinos with comorbidities and examine how their condition and various sociodemographic factors influenced these changes during the pandemic. Methodology: We conducted a community-based cross-sectional study involving 402 Filipino adults with comorbidities residing in Metro Manila. Using descriptive statistics, we summarized sociodemographic profiles and considerations for lifestyle changes. We assessed lifestyle changes using principal component analysis. Multiple linear regression was used to identify factors associated with these changes. Results: Lifestyle modifications include positive changes in a healthy diet, nutrition, and social support, as well as negative changes in restorative sleep, mental and physical states, and unhealthy eating habits. Monthly household income was positively associated with lifestyle changes. Specifically, individuals belonging to the middle to upper-income categories tend to adopt these modifications compared to those in the lower-income brackets (B [unstandardized beta]=3.99; 95% CI [Confidence Interval)= 0.98, 6.99). The primary reason for embracing these changes was to delay or prevent the progression of diseases, followed by the desire to minimize health complications. Conclusions High-income Filipinos are more inclined to adopt lifestyle modifications compared to lower-income individuals. Prioritizing disease prevention and minimizing health complications are common considerations for these changes.
Chronic Disease ; Comorbidity ; COVID-19 ; Health

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

Restless legs syndrome （RLS） is a common sensory-motor disorder of the nervous system， and its mechanism remains unknown， which may be related to neuropsychiatric diseases， nutritional and metabolic diseases， kidney diseases， and pregnancy. We report a special case of RLS which was diagnosed prior to hyperthyroidism and experienced worsening of the RLS symptoms. We aim to discuss the mechanism of hyperthyroidism aggravating RLS， helping clinicians have a better understanding of the influencing factors for RLS.
Hyperthyroidism ; Comorbidity

OBJECTIVE: To observe the effect of Shugan Tiaoshen acupuncture (acupuncture for soothing the liver and regulating the mentality) combined with western medication on depression and sleep quality in the patients with depression-insomnia comorbidity due to COVID-19 quarantine, and investigate the potential mechanism from the perspective of cortical excitability. METHODS: Sixty patients with depression-insomnia comorbidity due to COVID-19 quarantine were randomly divided into an acupuncture group and a sham-acupuncture group, 30 cases in each one. The patients of both groups were treated with oral administration of sertraline hydrochloride tablets. In the acupuncture group, Shugan Tiaoshen acupuncture was supplemented. Body acupuncture was applied to Yintang (GV 24⁺), Baihui (GV 20), Hegu (LI 4), Zhaohai (KI 6), Qihai (CV 6), etc. The intradermal needling was used at Xin (CO₁₅), Gan (CO₁₂) and Shen (CO₁₀). In the sham-acupuncture group, the sham-acupuncture was given at the same points as the acupuncture group. The compensatory treatment was provided at the end of follow-up for the patients in the sham-acupuncture group. In both groups, the treatment was given once every two days, 3 times a week, for consecutive 8 weeks. The self-rating depression scale (SDS) and insomnia severity index (ISI) scores were compared between the two groups before and after treatment and 1 month after the end of treatment (follow-up) separately. The cortical excitability indexes (resting motor threshold [rMT], motor evoked potential amplitude [MEP-A], cortical resting period [CSP]) and the level of serum 5-hydroxytryptamine (5-HT) were measured before and after treatment in the two groups. RESULTS: After treatment and in follow-up, SDS and ISI scores were decreased in both groups compared with those before treatment (P<0.05), and the scores in the acupuncture group were lower than those in the sham-acupuncture group (P<0.05), and the decrease range in the acupuncture group after treatment was larger than that in the sham-acupuncture group (P<0.05). After treatment, rMT was reduced (P<0.05), while MEP-A and CSP were increased (P<0.05) in the acupuncture group compared with that before treatment. The levels of serum 5-HT in both groups were increased compared with those before treatment (P<0.05). The rMT in the acupuncture group was lower than that in the sham-acupuncture group, while MEP-A and CSP, as well as the level of serum 5-HT were higher in the acupuncture group in comparison with the sham-acupuncture group (P<0.05). CONCLUSION Shugan Tiaoshen acupuncture combined with western medication can relieve depression and improve sleep quality in the patients with depression-insomnia comorbidity due to COVID-19 quarantine, which is probably related to rectifying the imbalanced excitatory and inhibitory neuronal functions.
Humans ; Depression ; Quarantine ; Serotonin ; Sleep Initiation and Maintenance Disorders ; COVID-19 ; Acupuncture Therapy ; Comorbidity

Humans ; Comorbidity ; Diabetes Mellitus/genetics* ; East Asian People ; Hypertension/genetics* ; Hypertriglyceridemia/genetics* ; Obesity/genetics* ; Receptors, Calcitriol/genetics*

OBJECTIVE: To explore the characteristics of comorbidities in patients with osteoporosis(OP) and factors associated health-related quality of life, so as to provide decision-making reference for improving the ability of disease co-prevention and co-treatment and the patient's life-cycle quality of life. METHODS: From November 2017 to July 2018, clinical information and biological samples from residents in 10 communities in Chaoyang District and Fengtai Distric of Beijing were collected, and bone density testing was conducted. Based on the Charlson comorbidity index (CCI), the comorbidity of the population was quantified, and grouped according to factors such as gender, age, and the differences between the groups were explored. Combined with the clinical information of patients, the difference characteristics of comorbidity and non-comorbidity population were analyzed. Pearson/Spearman correlation analysis and binary Logistic regression analysis were used to explore the factors affecting the health-related quality of life in patients with OP. RESULTS: Among the 521 OP patients, 121 patients had no comorbidities, and there were 153, 106, 65, and 30 patients with one, two, three, and four comorbidities, respectively, 46 patients with 5 or more kinds of comorbidites. Hypertension was the most common comorbidity in OP patients, accounting for 21.60%;followed by hyperlipidemia, accounting for 13.51%. The most common combination of the two diseases was hypertension plus hyperlipidemia (64 cases, 12.28%). Through the analysis of differences between age groups, it was found that the older patients, showed higher the CCI, and the difference between groups was statistically significant(Z=1.93, P=0.05). There were significant differences in the total EQ-5D score and the dimensions of anxiety and depression between patients with comorbidities (CCI≠0) and non-comorbidities (CCI=0) (Z=-2.67, P=0.01;Z=-2.44, P=0.02). Correlation analysis found that CCI, history of fracture, history of falls, hip bone mineral density T value and parathyroid hormone were all related to the health-related quality of life in OP patients (P<0.05). Binary Logistic regression analysis suggested that the right hip bone mineral density T value (P=0.02), CCI (P=0.01), fracture history (P=0.03) and fall history (P=0.01) were the risk factors that affect the health-related quality of life in OP patients. CONCLUSION The burden of comorbidities among middle-aged and elderly OP populations in Beijing is relatively heavy, and the health management of such populations should be further strengthened, specifically the combination of multiple comorbidities should be given high priority. Comorbid factors are of great importance for the diagnosis and treatment strategy of OP patients, which could further improve the quality of life.
Aged ; Middle Aged ; Humans ; Quality of Life ; Osteoporosis/epidemiology* ; Comorbidity ; Risk Factors ; Fractures, Bone ; Hypertension/epidemiology*

OBJECTIVE: To evaluate the accuracy of cardiac troponin (cTn) levels in the diagnosis of acute myocardial infarction (AMI) in patients with chronic kidney disease (CKD) and explore a potential strategy for improving the diagnostic accuracy. METHODS: We retrospectively analyzed the data from patients with high-risk chest pain admitted in Zhujiang Hospital from January, 2018 to December, 2020, including 126 patients with and 272 patients without CKD, and 122 patients diagnosed to have AMI and 276 patients without AMI. The baseline clinical data of the patients and blood test results within 12 h after admission were collected. RESULTS: In patients without AMI, cTnT level was significantly higher in those with co-morbid CKD than in those without CKD (P < 0.001), and showed a moderate negative correlation with eGFR (r_s=- 0.501, P < 0.001), while cTnI level did not differ significantly between the two groups (P=0.72). In patients with CKD, the optimal cutoff level was 0.177 μg/L for cTnT and 0.415 ng/mL for cTnI for diagnosis of AMI, for which cTnI had a higher specificity than cTnT. The diagnostic model combining both cTnT and cTnI levels [P=e^Y/(1+ e^Y), Y=6.928 (cTnT)-0.5 (cTnI)-1.491] had a higher AUC value than cTn level alone. CONCLUSION In CKD patients, the cutoff level of cTn is increased for diagnosing AMI, and cTnI has a higher diagnostic specificity than cTnT. The combination of cTnT and cTnI levels may further improve diagnostic efficacy for AMI.
Humans ; Retrospective Studies ; Myocardial Infarction/diagnosis* ; Comorbidity ; Troponin T ; Troponin I ; Renal Insufficiency, Chronic/diagnosis* ; Biomarkers

OBJECTIVE: To observe the diurnal difference of acute gout attacks in men, and provide reference for accurate clinical prevention and treatment. METHODS: Using a single-center, cross-sectional study design, the patients diagnosed with gout in the outpatient department of Rheumatology and Immuno-logy of PLA Joint Logistic Support Force No.980 Hospital from October 2021 to April 2022 were selected. The information about the patient's current/last acute gout attacks (less than 2 weeks from visit), date and time of attacks, joint symptoms and signs, medication use, and relevant biochemical tests on the day of visit was recorded. The diurnal time difference of acute gout attacks in male patients was analyzed, and univariate comparison and multivariate Logistic regression analyses were conducted to compare the diurnal difference of acute gout attacks with clinical characteristics and biochemical indicators. RESULTS: A total of 100 male gout patients were included, and 100 acute attacks were recorded. Diurnal distribution of acute gout attacks: morning (6:00~11:59, 18, 18%), afternoon (12:00~17:59, 11, 11%), the first half of the night (18:00~23:59, 22, 22%), the second half of the night (0:00~05:59, 49, 49%); During the day (included morning and afternoon, 29, 29%) and at night (included the first half of the night and the second half of the night, 71, 71%). The rate of acute gout attack was significantly higher at night than in the day (about 2.5 ∶1). No matter the first or recurrent gout, no matter the duration of the disease, the number of acute gout attacks had the difference of less in the day and more in the night. Serum urate (SU) level was higher in the patients with nocturnal attack than in those with daytime attack (P=0.044). Comorbidities were significantly different in the day-night ratio of the number of acute gout attack (P=0.028). Multiple Logistic regression analysis showed that SU level (OR=1.005, 95%CI: 1.001-1.009) and comorbidities (OR=3.812, 95%CI: 1.443-10.144) were the correlative factors of nocturnal acute gout attacks. CONCLUSION No matter the first or recurrent gout, no matter the duration of the disease, it has a diurnal variation characterized by multiple attacks at night, increased SU level and comorbidities are correlative factors for nocturnal acute attack of gout.
Humans ; Male ; Cross-Sectional Studies ; Gout/drug therapy* ; Arthritis, Gouty ; Gout Suppressants/therapeutic use* ; Comorbidity

Machine learning approaches are increasingly being applied to neuroimaging data from patients with psychiatric disorders to extract brain-based features for diagnosis and prognosis. The goal of this review is to discuss recent practices for evaluating machine learning applications to obsessive-compulsive and related disorders and to advance a novel strategy of building machine learning models based on a set of core brain regions for better performance, interpretability, and generalizability. Specifically, we argue that a core set of co-altered brain regions (namely 'core regions') comprising areas central to the underlying psychopathology enables the efficient construction of a predictive model to identify distinct symptom dimensions/clusters in individual patients. Hypothesis-driven and data-driven approaches are further introduced showing how core regions are identified from the entire brain. We demonstrate a broadly applicable roadmap for leveraging this core set-based strategy to accelerate the pursuit of neuroimaging-based markers for diagnosis and prognosis in a variety of psychiatric disorders.
Humans ; Obsessive-Compulsive Disorder/epidemiology* ; Brain/pathology* ; Neuroimaging/methods* ; Machine Learning ; Comorbidity ; Magnetic Resonance Imaging/methods*