PATIENTS AND METHODS: A retrospective cohort study was conducted at a tertiary care hospital in Malaysia from 1st January to 21st May 2019. Seventy admissions for COPD exacerbation involving 58 patients were analyzed.
RESULTS: The majority of the patients were male (89.8%), had a mean age of 71.95 ± 7.24 years and a median smoking history of 40 (IQR = 25) pack-years, 84.5% were in GOLD group D and 91.4% had a mMRC grading of 2 or greater. Approximately 60.3% had upper or lower respiratory tract infection as the cause of exacerbation; one in five patients had uncompensated hypercapnic respiratory failure at presentation, and 27.6% needed mechanical ventilatory support. Approximately 43.1% of patients had a history of exacerbation that required hospitalisation in the past year. The mean blood eosinophil concentration was 0.38 ± 0.46 x109 cells/L. The 30-day readmission rate was 20.3%, revisit rate to the emergency room within 30 days after discharge was 3.4%, and in-hospital mortality rate was 1.7%. Among all characteristics, a higher baseline mMRC grade (p = 0.038) and history of exacerbation in the past 1 year (p < 0.001) were statistically associated with 30-day readmission.
CONCLUSION: The 30-day readmission rate for COPD exacerbation in a Malaysian tertiary hospital is similar to the rates in high-income countries. Exacerbation in the previous year and a higher baseline mMRC grading were significant risk factors for 30-day readmission in patients with COPD. Strategies of COPD management should concentrate on improvement of symptoms control by optimisation of pharmacotherapy, and early initiation of pulmonary rehabilitation, and structured integrated care programs to reduce readmission rates.
METHODS: This prospective observational study assessed 100 patients who were admitted to the general wards at the National Heart Institute. We measured handgrip strength, body composition using bioelectrical impedance analysis (BIA) and recorded the length of stay (LOS), unplanned readmission and incidence of infection within 90 days after discharge. Logistic regression analysis at a significant level p patients with or without T2DM. After adjustment, sarcopenia was significantly associated with 90-day unplanned readmission (adjusted OR 3.5; 95%CI 1.40-8.77; p = 0.007) and LOS (AOR 0.4; 95%CI 0.16-0.88; p = 0.026). After adjustment, the co-existent of T2DM and sarcopenia was significantly associated with 90-day unplanned readmission (AOR 7.3; 95%CI 1.82-29.66; p = 0.005) and 90-day incidence of infection (AOR 4.4; 95%CI 1.12-17.52; p = 0.033).
CONCLUSION: Sarcopenia with co-existent T2DM was associated with increased risk for readmission and infection among hospitalised cardiac patients. Early identification of sarcopenia is important for timely intervention to improve prognosis in hospitalised cardiac patients with T2DM.
MATERIALS AND METHODS: This was a single-centre retrospective cohort study comprising patients admitted to a state hospital in Selangor, Malaysia, between August and October 2021. The demographic data, clinical characteristics, presenting complaints, laboratory tests, organ dysfunction, use of invasive ventilation, intensive care unit (ICU) admissions, length of hospitalisation and mortality were collected and analysed.
RESULTS: The analysis involved a total of 195 cases. More than a quarter of the cases (52 [26.7%]) were related to the initial COVID-19 infection. Nine cases (4.6%) required mechanical ventilation, while eight cases (4.1%) were admitted to the ICU. The overall mortality was 17 cases (8.7%). Surviving patients were younger (49.5 vs. 58.4 years), less likely to have diabetes mellitus (48.3% vs. 82.4%), or chronic kidney disease (12.9% vs. 41.2%); had higher levels of admission haemoglobin (12.6 vs. 9.1g/dL) and albumin (33.0 vs. 21.0g/L); lower white blood cells (10.2 vs. 13.0 × 109/L), creatinine (81.2 vs. 151.9μmol/L) and C-reactive protein (18.2 vs. 135.0mg/L) at admission; less likely to have MI (6.7% vs. 23.5%), sepsis (3.4% vs. 47.1%), or acute kidney injury (3.4% vs. 17.6%) and organ dysfunction (25.3% vs. 94.1%).
CONCLUSION: Approximately a quarter of patients were admitted or readmitted due to direct COVID-19 complications between 21 and 90 days of illness. The baseline oxygen requirements at admission were independently associated with mortality, invasive mechanical ventilation and ICU admissions. Further research is needed to establish a risk model for patients returning to a hospital to predict their risk of post-COVID complications.
DESIGN: A single-center retrospective cross-sectional study.
SETTING: Tertiary referral PICU in Johor, Malaysia.
PATIENTS: All children admitted to the PICU over 8 years were included. Patients readmitted into PICU after the first PICU discharge during the hospitalization period were categorized into "early" (within 48 hr) and "late" (after 48 hr), and factors linked to the readmissions were identified. The mortality rate was determined and compared between no, early, and late readmission.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: There were 2,834 patients in the study with 70 early and 113 late readmissions. Therefore, the rate of early and late PICU readmission was 2.5% (95% CI, 1.9-3.0%) and 3.9% (95% CI, 3.2-4.7%), respectively. The median length of stay of the second PICU admission for early and late readmissions was 2.7 days (interquartile range, 1.1-7.0 d) and 3.2 days (interquartile range, 1.2-7.5 d), respectively. The majority of early and late readmissions had a similar diagnosis with their first PICU admission. Multivariable multinomial logistic regression revealed a Pediatric Index Mortality 2 score of greater than or equal to 15, chronic cardiovascular condition, and oxygen supplement upon discharge as independent risk factors for early PICU readmission. Meanwhile, an infant of less than 1 year old, having cardiovascular, other congenital and genetic chronic conditions and being discharged between 8 AM and 5 PM was an independent risk factor for late readmission. There was no significant difference in the mortality rate of early (12.9%), late (13.3%), and no readmission (10.7%).
CONCLUSIONS: Despite the lack of resources and expertise in lower- and middle-income countries, the rate and factors for PICU readmission are similar to those in high-income countries. However, PICU readmission has no statistically significant association with mortality.
Objective: The objective of this study was to develop interventions to reduce percentage of patients with one or more medication errors during discharge.
Methods: A pharmacist-led quality improvement (QI) program over 6 months was conducted in medical wards at a tertiary public hospital. Percentage of patients discharge with one or more medication errors was reviewed in the pre-intervention and four main improvements were developed: increase the ratio of pharmacist to patient, prioritize discharge prescription order within office hours, complete discharge medication reconciliation by ward pharmacist, set up a Centralized Discharge Medication Pre-packing Unit. Percentage of patients with one or more medication errors in both pre- and post-intervention phase were monitored using process control chart.
Results: With the implementation of the QI program, the percentage of patients with one or more medication errors during discharge that were corrected by pharmacists significantly increased from 77.6% to 95.9% (p<0.001). Percentage of patients with one or more clinically significant error was similar in both pre and post-QI with an average of 24.8%.
Conclusions: Increasing ratio of pharmacist to patient to complete discharge medication reconciliation during discharge significantly recorded a reduction in the percentage of patients with one or more medication errors.
METHODS: Using the national hospital admission records database, we included all stroke patients who were discharged alive between 2008 and 2015 for this secondary data analysis. The risk of readmissions was described in proportion and trends. Reasons were coded according to the International Classification of Diseases, 10th Edition. Multivariable logistic regression was performed to identify factors associated with readmissions.
RESULTS: Among 151729 patients, 11 to 13% were readmitted within 28 days post-discharge from their stroke events each year. The trend was constant for ischemic stroke but decreasing for hemorrhagic stroke. The leading causes for readmissions were recurrent stroke (32.1%), pneumonia (13.0%) and sepsis (4.8%). The risk of 28-day readmission was higher among those with stroke of hemorrhagic (adjusted odds ratio (AOR): 1.52) and subarachnoid hemorrhage (AOR: 2.56) subtypes, and length of index admission >3 days (AOR: 1.48), but lower among younger age groups of 35-64 (AORs: 0.61-0.75), p values <0.001.
CONCLUSION: The risk of 28-day readmission remained constant from 2008 to 2015, where one in eight stroke patients required readmission, mainly attributable to preventable causes. Age, ethnicity, stroke subtypes and duration of the index admission influenced the risk of readmission. Efforts should focus on minimizing potentially preventable admissions, especially among those at higher risk.
Objective: The aim of this study is to evaluate the clinical outcomes that resulted from the use of a new proposed VTE risk stratification protocol for selecting a suitable extended VTE prophylaxis for post TKR surgery patients administered in conjunction with patient education programs.
Method: A randomized controlled trial was conducted in two medical centers in Saudi Arabia. A total of 242 patients were enrolled in the study, 121 patients in each group. The experimental group (A) was assessed by using the proposed VTE risk stratification protocol and also took part in patient education programs about TKR and its complications. The control group (B) was assessed by using the 2005 Caprini risk assessment tool and no education programs were given to this group. Both groups were followed for 35 days post operation.
Results: The mean age of the participants was 65.86 (SD 8.67) and the majority of them were female 137 (56.6%). The mean body mass index of the study sample was 32.46 (SD 5.51). There were no significant differences between the two groups except for surgery type; the proportion of bilateral TKR in group A was higher than in group B (69/121 (28.5%) vs. 40/121(16.5%), p<0.05). There were no confirmed pulmonary embolism cases in the study sample and diagnosis of deep-vein thrombosis was confirmed in 12/242 (5.0%) of patients: 1/121 (0.8%) in group A and 11/121 (9.1%) in group B (p<0.05). The readmission rate for all patients was 2.5% (6/242), all of whom were in group B (p<0.05).
Conclusion: The proposed VTE risk stratification protocol that was applied in conjunction with patient education programs reduced VTE complications and readmission events, post TKR surgery. Trial Registration: ClinicalTrials.gov: Identifier: NCT04031859.