METHODS: This was a retrospective cross-sectional study conducted on specialist medical reports written from 2009 to 2019, involving patients who survived after TBI from RTA. The functional outcome was assessed using the Glasgow Outcome Scale-Extended (GOSE). Factors associated with good outcome were analysed via logistic regression analysis. Multivariate logistic regression analysis was used to derive the best fitting Prediction Model and split-sample cross-validation was performed to develop a prediction model.
RESULTS: A total of 1939 reports were evaluated. The mean age of the study participants was 32.4 ± 13.7 years. Most patients were male, less than 40, and with average post RTA of two years. Good outcome (GOSE score 7 & 8) was reported in 30.3% of the patients. Factors significantly affecting functional outcome include age, gender, ethnicity, marital status, education level, severity of brain injury, neurosurgical intervention, ICU admission, presence of inpatient complications, cognitive impairment, post-traumatic headache, post traumatic seizures, presence of significant behavioural issue; and residence post discharge (p<0.05). After adjusting for confounding factors, prediction model identified age less than 40, mild TBI, absence of post traumatic seizure, absence of behaviour issue, absence of cognitive impairment and independent living post TBI as significant predictors of good functional outcome post trauma. Discrimination of the model was acceptable (C-statistic, 0.67; p<0.001, 95% CI: 0.62-0.73).
CONCLUSION: Good functional outcome following TBI due to RTA in this study population is comparable to other low to middle income countries but lower than high income countries. Factors influencing outcome such as seizure, cognitive and behavioural issues, and independent living post injury should be addressed early to achieve favourable long-term outcomes.
Methods: This study used five series of National Health and Morbidity Survey data from 1986 to 2015. Healthcare utilisation for inpatient, outpatient and dental care were analysed. SES was grouped based on household expenditure variables accounting for total number of adults and children in the household using consumption per adult equivalents approach. The determination of healthcare utilisation across the SES segments was measured using concentration index.
Results: The overall distribution of inpatient utilisation tended towards the pro-poor, although only data from 1996 (P-value = 0.017) and 2006 (P-value = 0.021) were statistically significant (P < 0.05). Out-patient care showed changing trends from initially being pro-rich in 1986 (P < 0.05), then gradually switching to pro-poor in 2015 (P < 0.05). Dental care utilisation was significantly pro-rich throughout the survey period (P < 0.05). Public providers mostly showed significantly pro-poor trends for both in- and out-patient care (P < 0.05). Private providers, meanwhile, constantly showed a significantly pro-rich (P < 0.05) trend of utilisation.
Conclusion: Total health utilisation was close to being equal across SES throughout the years. However, this overall effect exhibited inequities as the effect of pro-rich utilisation in the private sector negated the pro-poor utilisation in the public sector. Strategies to improve equity should be consistent by increasing accessibility to the private sectors, which has been primarily dominated by the richest population.
PATIENTS AND METHODS: With concern over its rising microbial resistance, we explored the association of empiric antibiotics choices with the hospital outcomes of patients treated for microbial proven K. pneumoniae pneumonia in an urban-based teaching hospital.
RESULTS: In 313 eligible cases reviewed retrospectively, hospital mortality and requirement for ventilation were 14.3% and 10.8% respectively. Empiric regimes that had in vitro resistance to at least one empiric antibiotic (n = 90) were associated with higher hospital mortality (23.3% vs. 10.8%, P = 0.004) with risk increased by about two-fold [Odds ratio (OR), 2.5; 95% confidence interval (CI), 1.3 to 4.8]. Regimes (n = 84) other than the commonly recommended "standard" regimes (a beta-lactam stable antibiotic with or without a acrolide) were associated with higher ventilation rates (16.7% vs. 8.8%, P = 0.047) with similar increased risk [OR, 2.0; 95% CI, 1.0 to 4.3].
CONCLUSIONS: Our findings reiterate the clinical relevance of in vitro microbial resistance in adult K. pneumoniae pneumonia and support empiric regimes that contain beta-lactam stable antibiotics.
OBJECTIVE: The aim of this study was to externally validate the GerontoNet ADR risk score and to assess its validity in specific subpopulations of older inpatients.
METHODS: Data from the prospective CRIteria to assess appropriate Medication use among Elderly complex patients (CRIME) cohort were used. Dose-dependent and predictable ADRs were classified as type A, probable or definite ADRs were defined according to the Naranjo algorithm, and diagnostic accuracy was tested using receiver operating characteristic (ROC) analyses. Sensitivity and specificity were calculated for a cut-off point of 4.
RESULTS: The mean age of the 1075 patients was 81.4 years (standard deviation 7.4) and the median number of drugs was 10 (range 7-13). At least one ADR was observed in 70 patients (6.5%); ADRs were classified as type A in 50 patients (4.7%) and defined as probable or definite in 41 patients (3.8%). Fair diagnostic accuracy to predict both type A and probable or definite ADRs was found in subpopulations aged <70 or ≥80 years with heart failure, diabetes, or a previous ADR. Good accuracy to predict type A ADRs was found in patients with a low body mass index (BMI; >18.5 kg/m2) and a Mini-Mental State Examination (MMSE) score of >24/30 points, as well as in patients with osteoarthritis. The cut-off point of 4 points yielded very good sensitivity but poor specificity results in these subpopulations.
CONCLUSION: This study suggests that the GerontoNet ADR risk score might represent a pragmatic approach to identifying specific subpopulations of older inpatients at increased risk of an ADR with a fair to good diagnostic accuracy.
DESIGN: We conducted a multi-country cross-sectional study.
METHODS: Following a literature review and patient focus groups, an expert panel generated questionnaire items. Following a pilot study, item numbers were reduced. The final questionnaire consisted of three sections: demographics, perceived QoC and one open-ended question. Data was collected from patients (n = 531) discharged from hospitals across seven countries in South East Europe (languages: Turkish, Greek, Portuguese, Romanian, Croatian, Macedonian and Bulgarian). Reliability and validity of the measure were assessed.
RESULTS: Confirmatory factor analysis was used to compare various factor models of patient-perceived QoC. Good model fit was demonstrated for a two-factor model: communication and interpersonal care, and hospital facilities.
CONCLUSIONS: The ORCAB (Improving quality and safety in the hospital: The link between organisational culture, burnout and quality of care) Patient QoC questionnaire has been collaboratively and exhaustively developed between healthcare professionals and patients. It enables patient QoC data to be assessed in the context of the IOM pillars of quality, considering both technical and interpersonal dimensions of care. It represents an important first step in including the patient perspective.
OBJECTIVE: To determine the incidence, clinical features and risk factors of cADRs among hospitalized patients.
METHODS: A prospective study was conducted among medical inpatients from July to December 2014.
RESULTS: A total of 43 cADRs were seen among 11 017 inpatients, yielding an incidence rate of 0.4%. cADR accounted for hospitalization in 26 patients. Previous history of cADR was present in 14 patients, with 50% exposed to the same drug taken previously. Potentially lifethreatening severe cutaneous adverse reactions (SCAR), namely drug reaction with eosinophilia and systemic symptoms (DRESS: 14 cases) and Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis (SJS/TEN: 6 cases) comprise almost 50% of cADRs. The commonest culprit drug group was antibiotics (37.2%), followed by anticonvulsants (18.6%). Cotrimoxazole, phenytoin and rifampicin were the main causative drugs for DRESS. Anticonvulsants were most frequently implicated in SJS/TEN (66.7%). Most cases had "probable" causality relationship with suspected drug (69.8%). The majority of cases were of moderate severity (65.1%), while 18.6% had severe reaction with 1 death recorded. Most cases were not preventable (76.7%). Older age (> 60 years) and mucosal involvement were significantly associated with a more severe reaction.
CONCLUSION: The incidence of cADRs was 0.4%, with most cases classified as moderate severity and not preventable. The commonest reaction pattern was DRESS, while the main culprit drug group was antibiotics. Older age and mucosal membrane involvement predicts a severe drug reaction.
OBJECTIVE: Identify the predictive factors for development of CI-AKI in patients prescribed NAC.
DESIGN: Prospective, cross-sectional.
SETTING: A tertiary hospital in Malaysia.
PATIENTS AND METHODS: All adult patients who were prescribed NAC for prevention of CI-AKI were identified through an NAC drug us.age monitoring card maintained by the inpatient pharmacy. The study was conducted from March to July 2017.
MAIN OUTCOME MEASURES: Statistically significant predictive fac.tors for development of CI-AKI despite NAC administration.
SAMPLE SIZE: 152 RESULTS: The most commonly recognized risk factors for CI-AKI present in the study population were renal impairment (n=131, 86.2%), anemia (n=107, 70.4%), and diabetes mellitus (n=90, 59.2%). Hydration therapy was initiated in 128 patients (84.2%) prior to the contrast-enhanced procedure. Sixty-one (40.1%) were treated with nephrotoxic medications concomitantly with NAC. Fifteen (9.9%) patients developed AKI. Hypotension (OR: 6.02; 95% CI 1.25-28.97) and use of high contrast volume (OR: 6.56; 95% CI: 1.41-30.64) significantly increased the odds for AKI. Prior hydration therapy (OR: 0.13; 95% CI 0.03-0.59) showed protective effects.
CONCLUSION: The risk predictors identified for CI-AKI were hypotension, high contrast volume and prior hydration therapy.
LIMITATION: May not have identified other confounding factors for development of CI-AKI.
CONFLICT OF INTEREST: None.