BACKGROUND OF THE STUDY

Post-obstructive diuresis (POD) is a common diagnosis among urologic patients that is medically diagnosed and managed. It is defined as urine production exceeding 200 mL per hour for two consecutive hours or producing greater than 3 L of urine in 24 hours. There is limited data on the risk factors of developing POD, but the need to identify such is important to prevent its complications such as dehydration, electrolyte imbalance, acute renal failure and even death.

The study aims to identify clinical and renal predictors of developing POD. It also seeks to show the outcome of patients diagnosed with POD and its correlation with medical management.

This is a retrospective study of all patients diagnosed with POD centered in the University of Santo Tomas Hospital from January 2017 to December 2018. Renal parameters such as serum creatinine, sodium, potassium, urea and ionized calcium were analyzed. Urinalysis and arterial blood gases were also noted and correlated.

Among a total of 106 patients with obstruction, 28.32% developed POD after decompression. The mean age is 58.2 ± 13.89, and most are male. Patients with POD have significantly longer days of obstruction (14 days, p = 0.049) compared to non-POD. Overweight patients comprise a significantly larger proportion of patients who had POD (p =CONCLUSION

POD occurs more likely among patients with a baseline AKI, low level of eGFR, longer duration of obstructions beyond 14 days and those with prostate cancer. Serum sodium and creatinine were higher among patients with POD. POD is associated with prolonged hospital stay, but obstruction relief leads to renal function improvement.

Human ; Mass Screening ; Mothers ; Nuchal Translucency Measurement ; Prenatal Diagnosis

INTRODUCTION: The National Institute of Health and Care Excellence (NICE) has defined the terms, 'acute coronavirus disease 2019' (COVID-19), 'ongoing symptomatic COVID-19' and 'post-COVID-19 syndrome', with the latter two described as having persistent symptoms after the onset of COVID-19 symptoms for 4-12 weeks and >12 weeks, respectively. Persistent symptoms can either be due to the after-effects of COVID-19 or new-onset diseases after acute COVID-19. All symptoms observed beyond 4 weeks after the onset of COVID-19 need not be present at the time of onset. Previous studies on persistent post-COVID-19 symptoms have not mentioned new-onset diseases after acute COVID-19, and only a select few studies have discussed such new-onset symptoms. METHODS: Ninety-five patients who attended the post-COVID-19 clinic completed the requisite follow-up till 16 weeks after COVID-19 symptom onset. Data was recorded on a predesigned proforma. Necessary investigations were conducted to rule out any other cause of persistent symptoms. RESULTS: Fatigue (62.1%), breathlessness (50.5%) and cough (27.4%) were the most common symptoms present beyond 4 weeks after the onset of COVID-19 symptoms. Forty-nine (51.57%) patients developed post-COVID-19 syndrome - their severity of symptoms (odds ratio [OR] 17.77) and longer duration of hospital stay (OR 1.095) during acute disease were significantly associated with the development of post-COVID-19 syndrome. During follow-up, 25 patients developed new-onset symptoms, such as diabetes mellitus, hypertension and idiopathic tachycardia. CONCLUSION Patients can have persistent symptoms, new-onset symptoms and new-onset diseases after recovery from acute COVID-19.
Humans ; COVID-19/diagnosis* ; Female ; Male ; Prospective Studies ; Middle Aged ; Adult ; Fatigue/etiology* ; Post-Acute COVID-19 Syndrome ; SARS-CoV-2 ; Aged ; Cough/etiology* ; Dyspnea/etiology*

INTRODUCTION: Rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibody (ACPA) are used in the diagnosis and prognostication of rheumatoid arthritis (RA). We wanted to determine the specific contributions of RF and ACPA to the biological nature of RA and whether they act synergistically. METHODS: We identified 731 patients from our prospective multi-ethnic RA cohort and categorised them into four groups: ACPA-positive, RF-positive, doubly positive and doubly negative. We compared the demographics, Disease Activity Score-28, Health Assessment Questionnaire score, quality of life using Short Form 36 and the use of prednisolone and disease-modifying antirheumatic drugs (DMARDs) of these patient groups. RESULTS: Four hundred and ninety-one patients (67.2%) were ACPA+RF+, 54 (7.4%) were ACPA+RF-, 82 (11.2%) were ACPA-RF+ and 104 (14.2%) were ACPA-RF-. Mean disease duration before the study entry was not different in the four groups. Patients with older age of onset were less likely to be positive for RF and ACPA. Fewer ACPA+RF+ patients were in remission compared to those in the other groups ( P < 0.05). Erythrocyte sedimentation rate (ESR) was higher at study entry in the ACPA+RF+ group (40.4 mm/h vs. 30.6-30.9 mm/h, P < 0.05). Prednisolone and number of DMARDs used were higher in the ACPA+RF+ group compared to the doubly negative group. There were no differences in the functional status and quality of life. CONCLUSIONS RA patients who were positive for both ACPA and RF had lower remission rate, higher baseline ESR and required more corticosteroid and DMARD treatment compared to those who were singly positive or doubly negative. Being doubly positive confers a worse outcome to RA patients.
Humans ; Arthritis, Rheumatoid/diagnosis* ; Male ; Female ; Middle Aged ; Rheumatoid Factor/blood* ; Anti-Citrullinated Protein Antibodies/blood* ; Adult ; Quality of Life ; Prospective Studies ; Antirheumatic Agents/therapeutic use* ; Aged ; Peptides, Cyclic/immunology* ; Prednisolone/therapeutic use* ; Surveys and Questionnaires ; Severity of Illness Index ; Prognosis

INTRODUCTION: The COVID-19 pandemic has changed care provision models, with a rapid increase in the adoption of telemedicine to reduce in-person visits. Although there are many benefits to teledermatology, there are also factors that hinder its widespread adoption. We aimed to examine patients' perceptions of teledermatology to identify the barriers to its adoption. METHODS: A prospective study was conducted from 15 June to 14 August 2020. Patients were invited to complete a questionnaire in an outpatient dermatology clinic via direct approach by clinical staff or posters posted at the door of consultation rooms. RESULTS: Out of 2,276 clinic attendances, 997 survey responses (43.8%) were collected over a 3-month period. When asked if they would change their subsequent visit to teledermatology, 294 (29.5%) patients were keen, 166 (16.6%) were unsure and 537 (53.9%) declined. Significant factors for declining teledermatology were lack of prior exposure to videoconferencing ( P < 0.01) and lower educational level ( P = 0.019). Patients also raised concerns regarding the ability of teledermatology to address medical concerns (32.1%) and indicated a preference for face-to-face consultation (29.7%). CONCLUSION Factors that influence patients' decision to adopt teledermatology, such as concerns about its ability to address medical issues, lack of IT literacy or experience in teleconferencing, are modifiable. Targeted strategies such as careful patient selection, a dedicated teleconsultation workflow, and the use of a novel 'teledermatology patient journey' (including a clinic walkthrough at the first visit) and an intuitive audio-enabled user interface, may improve patient perceptions and adoption of teleconsultation service.
Humans ; COVID-19/epidemiology* ; Dermatology/methods* ; Telemedicine ; Male ; Female ; Prospective Studies ; Middle Aged ; Adult ; Surveys and Questionnaires ; SARS-CoV-2 ; Aged ; Perception ; Young Adult ; Pandemics ; Skin Diseases/diagnosis* ; Videoconferencing

INTRODUCTION: Cancer patients attending emergency departments (EDs) often present with acute symptoms and are frequently admitted. This study aimed to characterise the profile of oncology patients who were discharged from the ED. METHODS: This was a retrospective audit of patients with cancer-related diagnoses who presented to the ED at the Singapore General Hospital (SGH) over a 6-month period from 1 October 2018 to 31 March 2019 and were directly discharged from the ED. Data was extracted from the hospital's electronic medical record system. RESULTS: Of the 492 participants included in the study, the majority were triaged as Priority 2 (61.4%), while 30.7% were triaged as Priority 3, 6.9% as Priority 1 and 1.0% as Priority 4. There was no statistical difference between the National Early Warning scores across the different triage categories in these patients. The most common complaint was (44.3%), followed by genitourinary symptoms (19.5%) and those related to devices, catheters or stomas (17.3%). More investigations of all types were done for patients being managed in Priority 1 (57.6%) than in the other triage categories (40.1% for Priority 2, 23.2% for Priority 3 and 12.0% for Priority 4). Treatment procedures carried out were mainly symptomatic (analgesics, antiemetics, proton pump inhibitors) for 79.8% of the patients. There were no significant differences in the proportion of patients requiring various treatment modalities among the triage categories. CONCLUSION Selected oncological patients may potentially be managed in an ambulatory setting.
Humans ; Emergency Service, Hospital/statistics & numerical data* ; Retrospective Studies ; Female ; Neoplasms/diagnosis* ; Male ; Singapore ; Patient Discharge/statistics & numerical data* ; Middle Aged ; Aged ; Triage ; Adult ; Emergencies ; Aged, 80 and over

INTRODUCTION: Obstructive sleep apnoea (OSA) is a serious but underdiagnosed condition. Demand for the gold standard diagnostic polysomnogram (PSG) far exceeds its availability. More efficient diagnostic methods are needed, even in tertiary settings. Machine learning (ML) models have strengths in disease prediction and early diagnosis. We explored the use of ML with oximetry, demographic and anthropometric data to diagnose OSA. METHODS: A total of 2,996 patients were included for modelling and divided into test and training sets. Seven commonly used supervised learning algorithms were trained with the data. Sensitivity (recall), specificity, positive predictive value (PPV) (precision), negative predictive value, area under the receiver operating characteristic curve (AUC) and F1 measure were reported for each model. RESULTS: In the best performing four-class model (neural network model predicting no, mild, moderate or severe OSA), a prediction of moderate and/or severe disease had a combined PPV of 94%; one out of 335 patients had no OSA and 19 had mild OSA. In the best performing two-class model (logistic regression model predicting no-mild vs. moderate-severe OSA), the PPV for moderate-severe OSA was 92%; two out of 350 patients had no OSA and 26 had mild OSA. CONCLUSION Our study showed that the prediction of moderate-severe OSA in a tertiary setting with an ML approach is a viable option to facilitate early identification of OSA. Prospective studies with home-based oximeters and analysis of other oximetry variables are the next steps towards formal implementation.
Humans ; Oximetry/methods* ; Sleep Apnea, Obstructive/diagnosis* ; Male ; Female ; Middle Aged ; Machine Learning ; Polysomnography ; Adult ; Anthropometry ; ROC Curve ; Aged ; Algorithms ; Predictive Value of Tests ; Sensitivity and Specificity ; Neural Networks, Computer ; Demography

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has caused significant mental distress in populations globally. At the frontline of the pandemic, emergency departments (EDs) are the prime setting to observe the effects of the pandemic on the mental health of the population. We aimed to describe the trend of mental health-related ED attendances at an acute hospital in Singapore before and during the various stages of the COVID-19 pandemic. METHODS: This is a retrospective, descriptive study of patients who presented to the ED between 1 January 2019 and 31 December 2020. Patients diagnosed with mental health-related systematised nomenclature of medicine who visited the ED during this period were identified and were placed into mental health diagnosis categories for analysis. A comparison was made between patients who presented before the pandemic (2019) and during the pandemic (2020). RESULTS: During the study periods, we identified 1,421 patients, of whom 27 were excluded due to non-mental health-related diagnoses, leaving 1,394 patients for analysis. There was a 36.7% increase in mental health-related ED presentations from 2019 to 2020. The proportion of higher-acuity mental health-related ED attendances and number of suicide attempts also increased. CONCLUSION Our study described an increase in the proportion of high-acuity mental health-related ED attendances during the COVID-19 pandemic. Emergency physicians must be cognisant of the effects of the pandemic on mental health. Further research should be conducted to better equip the healthcare system for handling all aspects of the pandemic.
Humans ; COVID-19/psychology* ; Emergency Service, Hospital/statistics & numerical data* ; Retrospective Studies ; Singapore/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Mental Disorders/diagnosis* ; Mental Health ; SARS-CoV-2 ; Tertiary Care Centers ; Pandemics ; Aged ; Suicide, Attempted/statistics & numerical data* ; Young Adult ; Adolescent

INTRODUCTION: Arrhythmias, especially atrial fibrillation (AF) and ventricular arrhythmias, are independent risk factors of mortality in patients with ischaemic heart disease (IHD). While there is a growing body of evidence that suggests an association between obstructive sleep apnoea (OSA) and cardiac arrhythmias, evidence on this relationship in patients with IHD has been scant and inconsistent. We hypothesised that in patients with IHD, severe OSA is associated with an increased risk of nocturnal arrhythmias. METHODS: We studied 103 consecutive patients with IHD who underwent an overnight polysomnography. Exposed subjects were defined as patients who had an apnoea-hypopnoea index (AHI) ≥30/h (severe OSA), and nonexposed subjects were defined as patients who had an AHI <30/h (nonsevere OSA). All electrocardiograms (ECGs) were interpreted by the Somte ECG analysis software and confirmed by a physician blinded to the presence or absence of exposure. Arrhythmias were categorised as supraventricular and ventricular. Arrhythmia subtypes (ventricular, atrial and conduction delay) were analysed as dichotomous outcomes using multiple logistic regression models. RESULTS: Atrial fibrillation and AF/flutter (odds ratio 13.5, 95% confidence interval 1.66-109.83; P = 0.003) were found to be more common in the severe OSA group than in the nonsevere OSA group. This association remained significant after adjustment for potential confounders. There was no significant difference in the prevalence of ventricular and conduction delay arrhythmias between the two groups. CONCLUSION In patients with IHD, there was a significant association between severe OSA and nocturnal AF/flutter. This underscores the need to evaluate for OSA in patients with IHD, as it may have important implications on clinical outcomes.
Humans ; Sleep Apnea, Obstructive/diagnosis* ; Atrial Fibrillation/diagnosis* ; Male ; Female ; Middle Aged ; Polysomnography ; Electrocardiography ; Myocardial Ischemia/complications* ; Aged ; Risk Factors ; Logistic Models

Pulmonary hypertension in pregnancy has been associated with negative maternal and fetal outcomes over the past decades. With the emergence of novel treatment modalities, morbidity and mortality of women who have pulmonary hypertension in pregnancy have improved. In this review, we aim to explore the contemporary updates in the management of pre-capillary and post-capillary pulmonary hypertension in pregnancy.
Humans ; Pregnancy ; Female ; Hypertension, Pulmonary/physiopathology* ; Pregnancy Complications, Cardiovascular/diagnosis* ; Pregnancy Outcome ; Antihypertensive Agents/therapeutic use*