Potential Drug-Drug Interactions and Related Factors among Geriatric Outpatients of a Tertiary Care Hospital.

(1) Background: Drug-drug interactions (DDIs) possess the potential to lead to a range of clinically significant consequences in the older population. (2) Aims: To investigate the prevalence and associated factors of DDIs among older patients within an outpatient setting of a university hospital. (3) Methods: This is a descriptive analysis of patients aged ≥65 years, who received a minimum of two medications. The electronic medical records were obtained from the outpatient clinic of a tertiary care hospital between November 2021 and November 2022. The outcomes were analyzed using descriptive and regression analysis. (4) Results: The study enrolled 10,877 patients, with a mean age of 74.3 ± 6.8 years. The prevalence of major DDI was 36.8%. Factors associated with major DDI were age (odds ratio [OR] 1.03), female sex (OR 1.23), polypharmacy (OR 2.27-13.78), metabolic disease (OR 1.89), psychiatric disorder (OR 1.79), cardiovascular disease (OR 1.51), musculoskeletal disease (OR 1.37), central nervous system disease (OR 1.24), and tuberculosis (OR 0.18). There was a significant difference observed in the primary healthcare facilities for emergency medicine (OR 1.72), orthopedics (OR 1.36), internal medicine (OR 1.29), and radiology (OR 0.45). (5) Conclusions: Major DDI was prevalent among older patients receiving care at outpatient settings. Several factors linked to major DDIs were identified. Developing appropriate strategies to improve the prescription process and avoid any missed interactions with geriatric patients is recommended.

Prevalence and factors influencing slow gait speed among geriatric patients at outpatient clinic of a tertiary care hospital.

BACKGROUND: Slow gait speed (GS) is a marker of functional decline and overall poor health status and could be considered as possible sarcopenia. Early detection with modified treatable causes is likely to lessen adverse health outcomes in older adults. AIMS: The aim of this study is to determine the prevalence of slow GS and related factors of older adults in an outpatient setting of a tertiary care hospital. METHODS: A cross-sectional study of older adults at an outpatient clinic of Internal Medicine Department of a tertiary care hospital was conducted during April 2020 and December 2021. Demographic data were collected including Montreal Cognitive Assessment (MoCA) for cognitive assessment and Pittsburgh Sleep Quality Index (PSQI) for sleep quality assessment. A 4-m walk test < 1 m/s was defined as slow GS. RESULTS: A total of 198 participants were available for analysis. The prevalence of slow GS was 75.8% (66.2% in men and 81.5% in women). The multivariate analysis showed that age, the presence of cerebrovascular disease (CVA), and MoCA scores were associated with slow GS with adjusted odds ratios of 1.1, 8.8, and 0.9, respectively. CONCLUSIONS: Slow gait speed was frequent among older patients in an outpatient setting indicating of a high prevalence of patients with poor physical performance and impending frailty. Increasing age, presence of CVA, and cognitive decline were associated with slow GS. Interventions concentrating on the amendable factors might help to reduce unfavorable health consequences.

Transmission sources and severe rat lung worm diseases in travelers: a scoping review.

BACKGROUND: Rat lung worm disease (RLWD) has several clinical forms including eosinophilic meningitis (EOM) and two severe forms, eosinophilic meningoencephalitis (EOME) and eosinophilic radiculomyelitis (EORM). It remains unclear whether transmission sources are associated with severe forms of RLWD. This study aimed to evaluate if transmission factors are related to the severity of RLWD among travelers by using a scoping review of case reports. METHODS: This was a review using five databases to retrieve case reports and case series of travelers with RLWD. Clinical data and transmission sources of reported cases diagnosed as RLWD were retrieved. The outcome of the study was occurrence of severe forms of RLWD defined as EOME, EORM, and combined EOME/EORM. RESULTS: We retrieved 1,326 articles from five databases and 31 articles were included in the analysis. There were 84 cases eligible from 15 countries. Four cases were excluded. Seventy cases were in EOM group and 10 cases had EOME or EORM. Compared with the EOM group, the EOME, EORM, and combination EOME/EORM group had similar age, sex, and risk factors of consumptions of apple snails, shrimp and prawn, and salad/vegetables. The EOME group had higher proportion of consumption of African snails than the EOM group (60% vs 13.8%). However, only one study reported the consumption of African snails and the heterogeneity between studies and the small sample size impeded direct comparisons between groups. CONCLUSIONS: RLWD in travelers can be found in most continents and mostly get infected from endemic countries of RLWD. Further studies are required to evaluate the association between transmission vectors and severity of RLWD.

Risk factors of left ventricular hypertrophy in obstructive sleep apnea.

Obstructive sleep apnea (OSA) and left ventricular hypertrophy (LVH) are both related to major cardiovascular diseases. Previous studies have indicated that, compared with non-OSA, OSA is related to LVH with an odds ratio (OR) of 1.70 (95% CI: 1.44-2.00), particularly in patients with coronary artery disease. Meta-analysis has revealed that the severity of OSA is significantly associated with left ventricular mass compared with non-OSA controls. There is, however, limited data on the risk factors of LVH in patients with OSA. The present study aimed to assess the prevalence and clinical factors that are predictive of LVH in patients with OSA. A retrospective analysis of adult patients diagnosed with OSA who had undergone echocardiography was performed. LVH defined by echocardiography indicated an enlarged LV mass index. Clinical factors predictive of LVH were assessed using multivariate logistic regression analyses. An unadjusted OR and an adjusted OR with 95% confidence intervals (CI) were determined. During the study period, 130 patients met the study criteria, with an LVH prevalence of 27.69% (36 patients). The final predictive model of LVH comprised six factors: Age, sex, unrefreshed sleep, body mass index, systolic blood pressure and apnea-hypopnea index. Only age was independently associated with LVH, with an adjusted OR of 1.048 (95% CI: 1.002-1.096). The prevalence rate of LVH in patients with OSA was 27.69%. Older age was independently related to LVH in patients with OSA.

Prevalence and risk factors for persistent atrial fibrillation in obstructive sleep apnea.

Objectives: Obstructive sleep apnea (OSA) is a common cause of atrial fibrillation (AF). The prevalence rate of OSA in AF is highest at 80%. There is limited data if who will develop AF in OSA patients. This study aimed to evaluate the prevalence of AF in patients with OSA and find clinical factors predictive of AF in patients with OSA. Material and Methods: This was a cross-sectional study. We enrolled consecutive patients diagnosed with obstructive sleep apnea diagnosed by polysomnography. The primary outcome was persistent AF identified by electrocardiogram. Prevalence and predictors of AF in patients with OSA were analyzed. Results: During the study period, there were 199 patients with OSA enrolled in the study. Of those, 31 patients (15.57%) had AF. There were five factors in the final model predictive for AF in OSA patients. Among those factors, three factors were independently associated with AF in OSA including age, tiredness, and glomerular filtration rate. The latter two factors were protective factors, while age was a predictor for AF with an adjusted odds ratio (95% confidence interval) of 1.052 (1.004, 1.103). Conclusion: The prevalence of AF in patients with OSA was 15.57%. Elderly patients with renal deterioration are at risk of AF but AF risk was decreasing in patients with tiredness.

Eosinophilic meningitis epidemiological data from a national database in Thailand's Department of Disease Control: a pragmatic, retrospective analytical study.

BACKGROUND: Eosinophilic meningitis (EOM) is a rare neurological disease that can be misdiagnosed or underdiagnosed. Based on reported cases in the literature, there have been 2,827 cases worldwide since 1945. There are limited data on the prevalence and trends of EOM in a real-world setting, even in Thailand, the country with the highest prevalence of EOM. Therefore, this study aimed to evaluate the prevalence of EOM and EOM epidemiological data in a real-world setting. METHODS: This was a pragmatic, retrospective analytical study using a national database. We retrieved EOM epidemiological data reported from government hospitals to Thailand's Bureau of Epidemiology, within the Ministry of Public Health's Department of Disease Control (DDC), between 2014 and 2019. The study was conducted by retrieving the data of all patients diagnosed with EOM and reported to the DDC. Diagnosis of EOM is made clinically by evidence of eosinophils of 10% or more of the total white blood cells in cerebrospinal fluid. Details of each patient were retrieved from the 506 Report Form, including age, month of reported case, zone of country, occupation, and mortality. Data regarding infection rate in each year and each zone were reported in rate/100,000 population, while data regarding age, month of reported case, and occupation were reported by year. Differences between means of age group, month of reported case, and occupation were tested by one-way analysis of variance (ANOVA). For those factors with significant differences among groups, Bonferroni method was used to compute pairwise differences. RESULTS: There were 1,083 EOM cases reported in Thailand during the six-year study period. The average annual incidence of EOM was 180.5 cases, or 0.27 cases/100,000 population. The northeast zone had the highest rate, with 0.89/100,000 population. The common age groups were 25-54 years, with the highest rate among the 35-44 age group, with a mean of 38.3 persons/year. These age groups were significantly different from other age groups (F value 39.23; p < 0.001). A relatively high cumulative monthly incidence (> 100 cases) was seen in four months, including January (117 cases), September (103 cases), October (112 cases), and November (103 cases), though these rates were not significantly different from the other months' rates. Regarding occupation, the top two occupations with EOM diagnoses were farmers and laborers, which were significantly different from other occupations (F value 99.95; p < 0.001). There was no reported case of death during the study period. CONCLUSION: EOM is common in Northeast Thailand among people of working age. The disease can be found throughout the year but is more common in the last quarter of the year. Farmers and laborers have the highest infection rate. To better understand the burden and outcomes of EOM, a national EOM reporting system with a better reporting form is required in endemic countries. Such a report form should include more details on risk exposure, symptoms, signs, treatment, and outcomes.

A national surveillance of eosinophilic meningitis in Thailand.

Introduction: Eosinophilic meningitis (EOM) is an emerging infectious disease worldwide. The most common cause of EOM is infection with Angiostrongylus cantonensis One possible method of monitoring and control of this infection is surveillance and prediction. There are limited data on national surveillance and predictive models on EOM. This study aimed to develop an online surveillance with a predictive model for EOM by using the national database. Methods: We retrospectively retrieved reported cases of EOM from all provinces in Thailand and quantified them by month and year. Data were retrieved from Ministry of Public Health database. We developed a website application to explore the EOM cases in Thailand including regions and provinces using box plots. The website also provided the Autoregressive Integrated Moving Average (ARIMA) models and Seasonal ARIMA (SARIMA) models for predicting the disease cases from nation, region, and province levels. The suitable models were considered by minimum Akaike Information Criterion (AIC). The appropriate SARIMA model was used to predict the number of EOM cases. Results: From 2003 to 2021, 3330 EOM cases were diagnosed and registered in the national database, with a peak in 2003 (median of 22 cases). We determined SARIMA(1,1,2)(2,0,0)[12] to be the most appropriate model, as it yielded the fitted values that were closest to the actual data. A predictive surveillance website was published on http://202.28.75.8/sample-apps/NationalEOM/. Conclusions: We determined that web application can be used for monitoring and exploring the trend of EOM patients in Thailand. The predictive values matched the actual monthly numbers of EOM cases indicating a good fit of the predictive model.

Frailty as a Predictor of Hospitalization and Low Quality of Life in Geriatric Patients at an Internal Medicine Outpatient Clinic: A Cross-Sectional Study.

Frailty is an aging-associated state that increases patients' vulnerability to disease, and can lead to various adverse outcomes. It is classified as either physical frailty alone or physical frailty in combination with cognitive impairment (cognitive frailty). There are currently limited data available regarding the prevalence and adverse outcomes of frailty in Thailand. This was a cross-sectional study aimed at determining the prevalence of physical and cognitive frailty and their effects on hospitalization and quality of life. Participants were older patients who attended an internal medicine outpatient clinic. Frailty was diagnosed using the Thai Frailty Index. The Thai version of the MoCA was used to evaluate cognitive status. Univariate and multivariate analyses were performed to compare adverse outcomes in terms of poor quality of life and history of admission to hospital between patients with frailty and non-frail patients, and among patients with physical frailty, cognitive frailty, cognitive impairment, and robust (non-frail and non-cognitively impaired) patients. We enrolled 198 participants. The prevalence of physical and cognitive frailty was 28.78% and 20.70%, respectively. When compared with non-frail patients, frailty was associated with hospitalization (adjusted OR 3.01, p = 0.002) but was not significantly related to quality of life (adjusted OR = 1.98, p = 0.09). However, physical and cognitive frailty were associated with fair quality of life when compared with normal patients (adjusted OR = 4.34, p = 0.04 and adjusted OR = 4.28, p = 0.03, respectively). The prevalence of frailty-particularly cognitive frailty-was high. Frailty was associated with adverse outcomes in terms of hospitalization and quality of life.

The Prevalence of Low Handgrip Strength and Its Predictors among Outpatient Older Adults in a Tertiary Care Setting: A Cross-Sectional Study.

BACKGROUND: Low muscle strength is linked to several adverse health outcomes. However, there are limited data regarding its prevalence and associated factors in Thai older adults. This study aimed to fill that gap. METHODS: This cross-sectional study was conducted with patients aged ≥ 60 years at the outpatient clinic of the internal medicine department of a tertiary care hospital from April 2020 to December 2021. Patient characteristics were collected, and a handgrip dynamometer was used to measure handgrip strength (HGS). Low HGS was defined according to the 2019 recommendations of the Asian Working Group for Sarcopenia. RESULTS: In total, 198 patients were recruited. The prevalence of low HGS was 51%. Median HGS was 17.8 kg and 27.7 kg in women and men, respectively. Every age per year increase, greater number of medications of any type, and lower Montreal Cognitive Assessment (MoCA) score were independent factors associated with low HGS, with adjusted odds ratios of 1.1, 1.2, and 0.9, respectively. CONCLUSIONS: Low HGS was prevalent among older patients in this setting, indicating a high degree of possible sarcopenia. As there were some modifiable factors associated with low HGS, routine measurement, medication review, and cognitive evaluation are recommended for early diagnosis and management.

Cognitive Impairment in Thalassemia and Associated Factors.

INTRODUCTION: Patients with thalassemia increase the risk of developing cognitive impairment. Chronic anemia, oxidative stress from excess iron, and hypercoagulable state were related to this condition. The study regarding its prevalence and the associated factor in Southeast Asia is limited. Therefore, the study aimed to investigate the prevalence of cognitive impairment and associated factors. METHODS: This was a cross-sectional study of thalassemic patients aged 18 years or more at the Hematology Clinic of Srinagarind Hospital, Khon Kaen University, Thailand, from January to May 2021. The Thai version of the Mini-Cog test was used to determine the presence of cognitive impairment. The clinical and laboratory parameters indicated as potential risk factors for dementia were evaluated in all patients. A stepwise logistic regression analysis was used to determine the associated risk factors for cognitive impairment. RESULTS: Among 150 patients, cognitive impairment was found in 40 patients (26.7%). Age per 10-year increase (adjusted odds ratio [AOR] of 1.6), no iron chelation therapy (AOR of 9.8), current smoking (AOR of 5.0), hemoglobin (Hb) (AOR of 0.63), and ferritin (AOR of 1.0001) were independent factors associated with cognitive impairment. CONCLUSIONS: The prevalence of cognitive impairment was high among thalassemic patients. Increasing age, low Hb, iron overload, and current smoking were significant associated factors with cognitive impairment. Screening for dementia in these patients is recommended, particularly in patients with high-risk factors.

Validity and reliability of the Thai version of the simple frailty questionnaire (T-FRAIL) with modifications to improve its diagnostic properties in the preoperative setting.

BACKGROUND: Several methods are available for identifying frailty, but limited tools have been validated in Thai context. Our objective was to evaluate the validity and reliability of the Thai version of the Simple Frailty Questionnaire (T- FRAIL) compared to the Thai Frailty Index (TFI) and to explore modifications to improve its diagnostic properties. METHODS: The T-FRAIL was translated with permission using a standardized protocol, that included forward and back-translation. Content validity analysis was performed using input from 5 geriatricians. Test-retest reliability, concurrent validity, diagnostic properties, and options to increase the sensitivity of the questionnaire were explored. A cross-sectional study for evaluation validity and reliability was carried out among 3 hundred patients aged 60 or more undergoing elective surgery at a university hospital. RESULTS: The item content validity index (I-CVI) showed 1.0 for each questionnaire item. Test-retest reliability within a 7-day interval was done in 30 patients with a good intraclass correlation coefficient of 0.880. Compared with the TFI, the T-FRAIL yielded an excellent accuracy (area under the curve = 0.882). The identification of frailty using a score of 2 points or more provided the best Youden's index at 63.1 with a sensitivity of 77.5% (95% CI 69.0-84.6) and a specificity of 85.6% (95% CI 79.6-90.3). A cutoff point of 1 out of 5 items for original T-FRAIL provided a sensitivity of 93.3% and a specificity of 61.1%. The modified T-FRAIL (T-FRAIL_M1), by reducing the "illnesses" criterion to 4 or more diseases, at a cutoff point at 1 had a sensitivity of 94.2% and a specificity of 57.8%. Another modified T-FRAIL (T-FRAIL_M2), by combining three components, at a cutoff point at 1 yielded a sensitivity of 85.8% and a specificity of 80.6%. CONCLUSION: The T-FRAIL and its modification demonstrated satisfactory validity and reliability to identify frailty in elderly patients. The cutoff score of 1 point from 5 items from the original version of T-FRAIL and T-FRAIL_M1 provides a highly sensitive screening tool. T-FRAIL_M1 with a cutoff point of 2 and T-FRAIL_M2 yields reasonable sensitivity and specificity for practical use.

Comparison of the clinical efficacy of subcutaneous vs. oral administration of methotrexate in patients with psoriasis vulgaris: a randomized controlled trial.

BACKGROUND: Evidence demonstrates that parenteral administration of methotrexate (MTX) has a higher drug bioavailability than oral administration. This difference is even more pronounced for medium to high dosages. AIM: To compare the efficacy, safety, and tolerability of oral and subcutaneous (SC) MTX for treatment of psoriasis. METHODS: A randomized, comparative, single-blind, 32-week study was conducted. The clinical response was evaluated using the Psoriasis Area Severity Index (PASI) and patient global satisfaction was assessed using a visual analogue scale (VAS). RESULTS: In total, 77 completed the study: 38 in the SC and 39 in the oral MTX group. No significant between-group differences were found in the number attaining PASI improvement of 75% (PASI75), 90% (PASI90) and 100% (PASI100) at Weeks 16 and 32: PASI75 (P = 0.14 and P = 0.21, respectively), PASI90 (P = 0.23 and P = 0.18) and PASI100 (P = 0.62 and P = 0.22). According to the mean VAS, no significant differences between the groups were found at any time points except at Week 32 that the mean VAS was significantly higher in the SC group (P = 0.03). Adverse events were comparable in both groups. CONCLUSION: SC and oral administration of MTX had similar efficacies in improving the PASI score even at the highest tolerable dose; however, the SC MTX group had higher overall patient satisfaction than the oral MTX group. No difference in tolerability was found.

Can RUDAS Be an Alternate Test for Detecting Mild Cognitive Impairment in Older Adults, Thailand?

The Montreal Cognitive Assessment (MoCA) is the commonly used cognitive test for detecting mild cognitive impairment (MCI) in Thailand. Nevertheless, cultural biases and educational levels influence its performance. The Rowland Universal Dementia Assessment Scale (RUDAS) seems to lower the limitation of the MoCA. This study aimed to compare the performance of the RUDAS and the MoCA for the diagnosis of MCI and demonstrate the correlation between them. A cross-sectional study of 150 older participants from the outpatient setting of the Internal Medicine Department, Srinagarind Hospital, Thailand was recruited during January 2020 and March 2021. The diagnostic properties in detecting MCI of the RUDAS and the MoCA were compared. MCI was diagnosed in 42 cases (28%). The AUC for both RUDAS (0.82, 95% CI 0.75-0.89) and MoCA (0.80, 95% CI 0.72-0.88) were similar. A score of 25/30 provided the best cut-off point for the RUDAS (sensitivity 76.2%, specificity 75%) and a score of 19/30 for the MoCA had sensitivity and specificity of 76.2% and 71.3%. The Spearman's correlation coefficient between both tests was 0.6. In conclusion, the RUDAS-Thai could be an option for MCI screening. It was correlated moderately to the MoCA.

Performance of the Rowland Universal Dementia Assessment Scale in Screening Mild Cognitive Impairment at an Outpatient Setting.

INTRODUCTION: Mild cognitive impairment (MCI) is defined as the symptomatic pre-dementia phase on the continuum of cognitive decline. Early recognition and application of potential interventions could prevent or delay the progression to dementia. The Rowland Universal Dementia Assessment Scale (RUDAS) shows good performance in the screening of dementia but has limited data regarding its diagnostic properties in the screening of MCI. The objectives of this study were to assess the psychometric properties of the Thai version of the RUDAS (RUDAS-Thai) in the screening of MCI, identify associated factors for the RUDAS performance, and determine the optimal cutoff point in detecting MCI. METHODS: This was a cross-sectional study conducted from January 2020 to March 2021. Older patients at the outpatient clinic of an internal medicine department at a tertiary care hospital in Thailand were examined. Baseline data were collected, and the RUDAS-Thai was administered to each patient. Afterward, a geriatrician assessed each patient for MCI. RESULTS: A total of 150 patients were included, of whom 42 cases (28%) had MCI. The overall performance of the test using an area under the receiver operating characteristic curve (AUC) was 0.82 (95% confidence interval 0.75-0.89). At the optimal cutoff point of 25/30, the AUC was 0.76 with sensitivity and specificity of 76.2 and 75%, respectively. The educational level affected the test performance according to regression analysis. For patients with years of education ≤6 and >6, the optimal cutoff points were 25/30 and 26/30, respectively. CONCLUSION: The RUDAS-Thai performed well in differentiating patients with MCI from normal cognition; however, it was affected by educational level. A score of 25/30 or lower for persons with ≤6 years of education or 26/30 or lower for persons with higher than 6 years of education is the optimal cutoff point for indication of developing MCI.

Predictive models for Angiostrongylus cantonensis and Gnathostoma spinigerum infection in pathologically or serologically proved eosinophilic meningitis.

OBJECTIVE: The two most common causes of eosinophilic meningitis (EOM) are the parasites: Angiostrongylus cantonensis and Gnathostoma spinigerum. This study aimed to evaluate whether clinical factors can predict either neuroangiostrongyliasis or gnathostomiasis in EOM patients. MATERIALS AND METHODS: We included reports of patients with eosinophils in the CSF and either serological or pathological diagnosis of neuroangiostrongyliasis or gnathostomiasis published in 2014 or earlier and available on PubMed. Predictive clinical models were generated for neuroangiostrongyliasis and gnathostomiasis. RESULTS: In total, 155 patients were included in the study, 24 in the gnathostomiasis group and 131 in the neuroangiostrongyliasis group. According to the separate models, factors associated with neuroangiostrongyliais were gender of male, Pila/Pomacea snail exposure, and headache, and independent factors for gnathostomiasis were weakness (adjusted odds ratio 50.8) and radicular pain (adjusted odds ratio 35.3). The combined model identified two independent factors for neuroangiostrongyliasis: weakness and radicular pain. The laboratory models revealed that xanthochromic CSF perfectly predicted both neuroangiostrongyliasis and gnathostomiasis. Two other predictive factors were blood eosinophilia and CSF eosinophils, which positively predicted gnathostomiasis (adjusted odds ratios of 1.13 and 1.08, respectively). CONCLUSION: Clinical factors may be predictive of neuroangiostrongyliasis and gnathostomiasis in EOM.

Prevalence and factors correlated with hypertension secondary from obstructive sleep apnea.

BACKGROUND: In 2003, the JNC 7 reported obstructive sleep apnea (OSA) as a cause of secondary hypertension. The prevalence of OSA in hypertension ranges from 30-80%. There are limited data on the prevalence and risk factors of OSA in hypertensive patients. This study thus aimed to evaluate prevalence and clinical predictors of obstructive sleep apnea (OSA) in these patients. METHODS: This was a cross-sectional study and conducted at the hypertension clinic at Khon Kaen University's Srinagarind Hospital, Thailand. We enrolled patients with hypertension treated at the clinic. OSA was defined as apnea-hypopnea index of 5 events/hour or over according to cardiopulmonary monitoring. Patients whose hypertension was due to any other causes were excluded. The prevalence of OSA was calculated and risk factors for OSA were analyzed using multivariate logistic regression. RESULTS: There were 726 hypertensive patients treated at the clinic. Out of those, 253 (34.8%) were randomly studied and categorized as either non-OSA (147 patients, 58.1%) or OSA (106 patients, 41.9%). There were four independent factors associated with OSA-induced hypertension: age, sex, history of snoring, and history of headache. Headache had an adjusted odds ratio (95% confidence interval) of 3.564 (95% confidence interval of 1.510, 8.411). CONCLUSION: Age, male sex, history of snoring, and headache were independent predictors of hypertension caused by OSA.

The Mini-Cog, Clock Drawing Test, and Three-Item Recall Test: Rapid Cognitive Screening Tools with Comparable Performance in Detecting Mild NCD in Older Patients.

BACKGROUND: Early mild neurocognitive disorder (mild NCD) detection can allow for appropriate planning and delay disease progression. There have been few studies examining validated mild NCD detection tools. One such tool that may be of use is the Mini-Cog, which consists of the clock drawing test (CDT) and three-item recall. METHODS: This study aimed to compare the diagnostic properties of the Mini-Cog, the CDT alone, and the three-item recall test alone in mild NCD detection according to DSM-5 criteria. The participants were older patients attending the medicine outpatient clinic. Area under receiver operating characteristic (ROC) curve (AUC) analysis was used to compare the tools' accuracy. RESULTS: A total of 150 patients were enrolled, 42 of whom were diagnosed as having mild NCD. The AUCs of ROC curves of the three-item recall, CDT, Mini-Cog1, and Mini-Cog2 were 0.71, 0.67, 0.73, and 0.71, respectively (p = 0.36). The sensitivity of the tools was 85.7%, 66.7%, 57.4%, and 69% respectively. The tests performed similarly in participants with ≤6 years of education (p = 0.27) and those with >6 years of education (p = 0.49). CONCLUSIONS: All tools exhibited similar acceptable performance in detecting mild NCD and were not affected by education. These convenient tools might be suitable for use in clinical practice.

A simpler screening tool for sarcopenia in surgical patients.

BACKGROUND: Sarcopenia is defined as decreased skeletal muscle mass and muscle functions (strength and physical performance). Muscle mass is measured by specific methods, such as bioelectrical impedance analysis and dual-energy X-ray absorptiometry. However, the devices used for these methods are costly and are usually not portable. A simple tool to screen for sarcopenia without measuring muscle mass might be practical, especially in developing countries. The aim of this study was to design a simple screening tool and to validate its performance in screening for sarcopenia in older adult cancer patients scheduled for elective surgery. METHODS: Cancer surgical patients aged >60 years were enrolled. Their nutritional statuses were evaluated using the Mini Nutrition Assessment-Short Form. Sarcopenia was assessed using Asian Working Group for Sarcopenia (AWGS) criteria. Appendicular skeletal muscle mass was measured by bioelectrical impedance analysis. Four screening formulas with differing combinations of factors (muscle strength, physical performance, and nutritional status) were assessed. The validities of the formulas, compared with the AWGS definition, are presented as sensitivity, specificity, accuracy, and area under a receiver operating characteristic curve. RESULTS: Of 251 enrolled surgical patients, 84 (34%) were diagnosed with sarcopenia. Malnutrition (odds ratio [OR]: 2.89, 95% CI: 1.40-5.93); underweight status (OR: 2.80, 95% CI: 1.06-7.43); and age increments of 5 years (OR: 1.78, 95% CI: 1.41-2.24) were independent predictors of preoperative sarcopenia. The combination of low muscle strength and/or abnormal physical performance, plus malnutrition/risk of malnutrition had the highest sensitivity, specificity, and accuracy (81.0%, 78.4%, and 79.3%, respectively). This screening formula estimated the probability of sarcopenia with a positive predictive value of 65.4% and a negative predictive value of 89.1%. CONCLUSION: Sarcopenia screening can be performed using a simple tool. The combination of low muscle strength and/or abnormal physical performance, plus malnutrition/risk of malnutrition, has the highest screening performance.

Prevalence and Risk Factors of Obstructive Sleep Apnea in Hypertensive Emergency.

INTRODUCTION: Obstructive sleep apnea (OSA) is a common factor associated with hypertensive crises. There is limited evidence of prevalence and risk factors of OSA in hypertensive emergency. METHODS: This study recruited adult patients who diagnosed as hypertensive emergency and tested for OSA. The study period was between July 2019 and January 2020. The patients were categorized as OSA and non-OSA groups by the evidence from polysomnography. Prevalence and risk factors for OSA were executed. RESULTS: During the study, there were 52 eligible patients. Of those, 30 patients (57.69%) were diagnosed with OSA. The stepwise logistic regression analysis for predicting OSA had two remaining factors: body mass index and diastolic blood pressure. Only body mass index was independently associated with OSA with an adjusted odds ratio of 1.166 (95% confidence interval of 1.033, 1.316). The body mass index of 25.02 kg/m2 gave sensitivity and specificity of 80.00% and 59.09%, respectively. The area under the receiver operating characteristic curve was 70.98%. CONCLUSION: OSA had high incidence rate in patients with hypertensive emergency. High body mass index was a predictor for OSA associated with hypertensive emergency.