Prevalence and risk factors of depression and anxiety in primary care.

Introduction: Anxiety and depressive disorders are highly prevalent mental health conditions worldwide. However, little is known about their specific prevalence in primary care settings. This study aimed to determine the prevalence of depression and anxiety in the primary care population and identify associated patient characteristics. Method: We conducted a cross-sectional study using stratified sampling by age with a self-administered questionnaire survey in Singapore's National Health-care Group Polyclinics from December 2021 to April 2022. A total score of Patient Health Questionnaire-9 (PHQ-9) ≥10 represents clinical depression, and a total score of Generalised Anxiety Disorder-7 (GAD-7) ≥10 indicates clinical anxiety. Multivariable logistic regression was used to identify the factors associated with depression and anxiety. Results: A total of 5694 patients were approached and 3505 consented to the study (response rate=61.6%). There was a higher prevalence of coexisting clinical depression and anxiety (DA) (prevalence=5.4%) compared to clinical depression only (3.3%) and clinical anxiety only (1.9%). The odds of having DA were higher among those aged 21-39 years (odds ratio [OR] 13.49; 95% confidence interval [CI] 5.41-33.64) and 40-64 years (OR 2.28; 95% CI 1.03-5.03) compared to those ≥65 years. Women had higher odds of having DA (OR 2.33; 95% CI 1.54-3.50) compared to men. Respondents with diabetes had higher odds of having DA (OR 1.78; 95% CI 1.07-2.94) compared to those without diabetes. Conclusion: Coexisting clinical depression and anxiety are significantly present in the primary care setting, especially among younger individuals, patients with diabetes and women. Mental health screening programmes should include screening for both depression and anxiety, and target these at-risk groups.

Concordance of self-reporting of diabetes compared with medical records: A comparative study using polyclinic data in Singapore.

INTRODUCTION: Studies of concordance between patients' self-report of diseases and a criterion standard (e.g. chart review) are usually conducted in epidemiological studies to evaluate the agreement of self-reported data for use in public health research. To our knowledge, there are no published studies on concordance for highly prevalent chronic diseases such as diabetes and pre-diabetes. The aims of this study were to evaluate the concordance between patients' self-report and their medical records of diabetes and pre-diabetes diagnoses, and to identify factors associated with diabetes concordance. METHOD: A cross-sectional, interviewer-administered survey was conducted on patients with chronic diseases after obtaining written consent to assess their medical notes. Interviewers were blinded to the participants' profiles. Concordance was evaluated using Cohen's kappa (κ). A multivariable logistic regression model was used to identify factors associated with diabetes concordance. RESULTS: There was substantial agreement between self-reported and medical records of diabetes diagnoses (κ=0.76) and fair agreement for pre-diabetes diagnoses (κ=0.36). The logistic regression model suggested that non-Chinese patients had higher odds of diabetes concordance than Chinese patients (odds ratio [OR]=4.10, 95% confidence interval [CI] 1.19-14.13, P=0.03). Patients with 3 or more chronic diseases (i.e. multimorbidity) had lower odds of diabetes concordance than patients without multimorbidity (OR=0.21, 95% CI 0.09-0.48, P<0.001). CONCLUSION: Diabetes concordance was substantial, supporting the use of self-report of diabetes by patients with chronic diseases in the primary care setting for future research. Pre-diabetes concordance was fair and may have important clinical implications. Further studies to explore and improve health literacy and patient-physician communication are needed.

Portable evaluation of obstructive sleep apnea in adults: A systematic review.

Obstructive sleep apnea (OSA) is a significant healthcare burden affecting approximately one billion people worldwide. The prevalence of OSA is rising with the ongoing obesity epidemic, a key risk factor for its development. While in-laboratory polysomnography (PSG) is the gold standard for diagnosing OSA, it has significant drawbacks that prevent widespread use. Portable devices with different levels of monitoring are available to allow remote assessment for OSA. To better inform clinical practice and research, this comprehensive systematic review evaluated diagnostic performances, study cost and patients' experience of different levels of portable sleep studies (type 2, 3, and 4), as well as wearable devices and non-contact systems, in adults. Despite varying study designs and devices used, portable diagnostic tests are found to be sufficient for initial screening of patients at risk of OSA. Future studies are needed to evaluate cost effectiveness with the incorporation of portable diagnostic tests into the diagnostic pathway for OSA, as well as their application in patients with chronic respiratory diseases and other comorbidities that may affect test performance.

Patterns of patients with multiple chronic conditions in primary care: A cross-sectional study.

OBJECTIVE: Our aim was to identify the patterns of multimorbidity among a group of patients who visited primary care in Singapore. METHODS: A cross-sectional study of electronic medical records was conducted on 437,849 individuals aged 0-99 years who visited National Healthcare Group Polyclinics from 1 Jul 2015 to 30 Jun 2016 for the management of chronic conditions. Patients' health conditions were coded with the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10), and patient records were extracted for analysis. Patients' diagnosis codes were grouped by exploratory factor analysis (EFA), and patterns of multimorbidity were then identified by latent class analysis (LCA). RESULTS: EFA identified 19 groups of chronic conditions. Patients with at least three chronic conditions were further separated into eight classes based on demographics and probabilities of various diagnoses. We found that older patients had higher probabilities of comorbid hypertension, kidney disease and ischaemic heart disease (IHD), while younger patients had a higher probability of comorbid obesity. Female patients had higher probabilities of comorbid arthritis and anaemia, while male patients had higher probabilities of comorbid kidney diseases and IHD. Indian patients presented with a higher probability of comorbid diabetes than Chinese and Malay patients. CONCLUSIONS: This study demonstrated that patients with multimorbidity in primary care could be classified into eight patterns. This knowledge could be useful for more precise management of these patients in the multiethnic Asian population of Singapore. Programmes for early intervention for at-risk groups can be developed based on the findings.

Prevalence of diabetes and its effects on stroke outcomes: A meta-analysis and literature review.

AIMS/INTRODUCTION: Diabetes mellitus is an established risk factor for stroke and maybe associated with poorer outcomes after stroke. The aims of the present literature review were to determine: (i) the prevalence of diabetes in acute stroke patients through a meta-analysis; (ii) the association between diabetes and outcomes after ischemic and hemorrhagic stroke; and (iii) to review the value of glycated hemoglobin and admission glucose-based tests in predicting stroke outcomes. MATERIALS AND METHODS: Ovid MEDLINE and EMBASE searches were carried out to find studies relating to diabetes and inpatient stroke populations published between January 2004 and April 2017. A meta-analysis of the prevalence of diabetes from included studies was undertaken. A narrative review on the associations of diabetes and different diagnostic methods on stroke outcomes was carried out. RESULTS: A total of 66 eligible articles met inclusion criteria. A meta-analysis of 39 studies (n = 359,783) estimated the prevalence of diabetes to be 28% (95% confidence interval 26-31). The rate was higher in ischemic (33%, 95% confidence interval 28-38) compared with hemorrhagic stroke (26%, 95% confidence interval 19-33) inpatients. Most, but not all, studies found that acute hyperglycemia and diabetes were associated with poorer outcomes after ischemic or hemorrhagic strokes: including higher mortality, poorer neurological and functional outcomes, longer hospital stay, higher readmission rates, and stroke recurrence. Diagnostic methods for establishing diagnosis were heterogeneous between the reviewed studies. CONCLUSIONS: Approximately one-third of all stroke patients have diabetes. Uniform methods to screen for diabetes after stroke are required to identify individuals with diabetes to design interventions aimed at reducing poor outcomes in this high-risk population.

Prevalence of pre-existing dysglycaemia among inpatients with acute coronary syndrome and associations with outcomes.

AIMS: We aimed to confirm the hypothesis that dysglycaemia including in the pre-diabetes range affects a majority of patients admitted with acute coronary syndrome (ACS) and is associated with worse outcomes. METHODS: In this prospective observational cohort study, consecutive inpatients aged ≥ 54 years with ACS were uniformly tested and categorised into diabetes (prior diagnosis/ HbA1c ≥ 6.5%, ≥48 mmol/mol), pre-diabetes (HbA1c 5.7-6.4%, 39-47 mmol/mol) and no diabetes (HbA1c ≤ 5.6%, ≤38 mmol/mol) groups. RESULTS: Over two years, 847 consecutive inpatients presented with ACS. 313 (37%) inpatients had diabetes, 312 (37%) had pre-diabetes and 222 (25%) had no diabetes. Diabetes, compared with no diabetes, was associated with higher odds of acute pulmonary oedema (APO, odds ratio, OR 2.60, p < 0.01), longer length of stay (LOS, incidence rate ratio, IRR 1.18, p = 0.02) and, 12-month ACS recurrence (OR 1.86, p = 0.046) after adjustment, while no significant associations were identified for pre-diabetes. Analysed as a continuous variable, every 1% (11 mmol/mol) increase in HbA1c was associated with increased odds of APO (OR 1.28, P = 0.002) and a longer LOS (IRR 1.05, P = 0.03). CONCLUSIONS: The high prevalence of dysglycaemia and association with poorer clinical outcomes justifies routine HbA1c testing to identify individuals who may benefit from cardioprotective anti-hyperglycaemic agents and, lifestyle modification to prevent progression of pre-diabetes.

Routine HbA1c among hematology and oncology inpatients: Diabetes-status and hospital-outcomes.

AIMS: Using routine HbA1c measurement to determine the prevalence of diabetes mellitus (known and previously unrecognized) and their hospital outcomes among hematology and oncology inpatients. METHODS: This was a prospective, observational study. Routine automated HbA1c testing was performed in all hematology and oncology inpatients aged ≥54 years at a tertiary hospital, July 2013-January 2015. The outcome measures were: (i) prevalence of known and previously unrecognized diabetes, and (ii) hospital outcomes: length-of-stay (LOS), intensive-care-unit (ICU) admission, 30-day/18-month readmission, and 18-month mortality. RESULTS: Over the 18-month study period, 1076 inpatients aged ≥54 years were admitted to hematology (n = 298) and oncology (n = 778) units: 21% had known diabetes and 7% had previously unrecognized diabetes. Patients with known diabetes had a longer LOS (IRR: 1.18, 95%CI: 1.02-1.37, p = 0.03), compared to those without diabetes, adjusting for age, hemoglobin level, estimated-glomerular-filtration-rate, admission specialty unit, Charlson's comorbidity index score, and glucocorticoid exposure. No significant differences were observed in ICU admission, 30-day/18-month readmission, and 18-month mortality among patients with known, previously unrecognized and no diabetes (p ≥ 0.05). CONCLUSIONS: Approximately one in five hematology or oncology inpatients aged ≥54 years had known diabetes, and one in fourteen had previously unrecognized diabetes. Those with known diabetes had a longer hospital stay. Routine HbA1c measurement is can be useful for identifying previously unrecognized diabetes, particularly among patients with high glucocorticoid exposure. Further study is required to determine cost-effectiveness in screening for unrecognized diabetes and optimal management of these patients.

Using routine HbA1c measurements in stroke and the associations of dysglycaemia with stroke outcomes.

AIMS: Diabetes is a major risk factor for stroke. We aimed to investigate the prevalence of diabetes and pre-diabetes within a stroke cohort and examine the association of glycaemia status with mortality and morbidity. METHODS: Inpatients aged ≥54 who presented with a diagnosis of stroke had a routine HbA1c measurement as part of the Austin Health Diabetes Discovery Initiative. Additional data were attained from hospital databases and Australian Stroke Clinical Registry. Outcomes included diabetes and pre-diabetes prevalence, length of stay, 6-month and in-hospital mortality, 28-day readmission rates, and 3-month modified Rankin scale score. RESULTS: Between July 2013 and December 2015, 610 patients were studied. Of these, 31% had diabetes while 40% had pre-diabetes. Using multivariable regression analyses, the presence of diabetes was associated with higher odds of 6-month mortality (OR = 1.90, p = 0.022) and higher expected length of stay (IRR = 1.29, p = 0.004). Similarly, a higher HbA1c was associated with higher odds of 6-month mortality (OR = 1.27, p = 0.005) and higher expected length of stay (IRR = 1.08, p = 0.010). CONCLUSIONS: 71% of this cohort had diabetes or pre-diabetes. Presence of diabetes and higher HbA1c were associated with higher 6-month mortality and length of stay. Further research is necessary to determine if improved glycaemic control may improve stroke outcomes.

The Presence of Diabetes and Higher HbA1c Are Independently Associated With Adverse Outcomes After Surgery.

OBJECTIVE: Limited studies have examined the association between diabetes and HbA1c with postoperative outcomes. We investigated the association of diabetes, defined categorically, and the association of HbA1c as a continuous measure, with postoperative outcomes. RESEARCH DESIGN AND METHODS: In this prospective, observational study, we measured the HbA1c of surgical inpatients age ≥54 years at a tertiary hospital between May 2013 and January 2016. Patients were diagnosed with diabetes if they had preexisting diabetes or an HbA1c ≥6.5% (48 mmol/mol) or with prediabetes if they had an HbA1c between 5.7 and 6.4% (39 and 48 mmol/mol). Patients with an HbA1c <5.7% (39 mmol/mol) were categorized as having normoglycemia. Baseline demographic and clinical data were obtained from hospital records, and patients were followed for 6 months. Random-effects logistic and negative binomial regression models were used for analysis, treating surgical units as random effects. We undertook classification and regression tree (CART) analysis to design a 6-month mortality risk model. RESULTS: Of 7,565 inpatients, 30% had diabetes, and 37% had prediabetes. After adjusting for age, Charlson comorbidity index (excluding diabetes and age), estimated glomerular filtration rate, and length of surgery, diabetes was associated with increased 6-month mortality (adjusted odds ratio [aOR] 1.29 [95% CI 1.05-1.58]; P = 0.014), major complications (1.32 [1.14-1.52]; P < 0.001), intensive care unit (ICU) admission (1.50 [1.28-1.75]; P < 0.001), mechanical ventilation (1.67 [1.32-2.10]; P < 0.001), and hospital length of stay (LOS) (adjusted incidence rate ratio [aIRR] 1.08 [95% CI 1.04-1.12]; P < 0.001). Each percentage increase in HbA1c was associated with increased major complications (aOR 1.07 [1.01-1.14]; P = 0.030), ICU admission (aOR 1.14 [1.07-1.21]; P < 0.001), and hospital LOS (aIRR 1.05 [1.03-1.06]; P < 0.001). CART analysis confirmed a higher risk of 6-month mortality with diabetes in conjunction with other risk factors. CONCLUSIONS: Almost one-third of surgical inpatients age ≥54 years had diabetes. Diabetes and higher HbA1c were independently associated with a higher risk of adverse outcomes after surgery.