Displaying publications 1 - 20 of 102 in total

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  1. Lee KG, Indralingam V
    Med J Malaysia, 2012 Oct;67(5):478-82.
    PMID: 23770862 MyJurnal
    INTRODUCTION: Several studies have found higher in-hospital mortality for admissions during weekend or off hours, known as "weekend or off-hour effect". However, data for this on Malaysian populations is limited. This study was conducted to analyze the 3-year mortality trend in a secondary hospital and its relation to time and date of admission.

    METHODS: The clinical data of 126,627 patients admitted to Taiping Hospital from 1st January 2008 to 31st December 2010 obtained via patient registry database of hospital was analyzed. This study compared mortality during weekdays with weekends, office hours (0800-1700) with off hours (1701-0759), and subanalysis of office hours with evening (1701-2259) or night hours (2300-0759), adjusted for age and gender.

    RESULTS: Although the overall staff-to-patient ratio is improving, analyses showed a statistically significant increased risk of mortality for those patients admitted during weekends (OR = 1.22; 95% confidence interval [CI] = 1.14-1.31) or off hours in a weekday (OR = 1.67; 95% CI = 1.57-1.78). In the comparison between time of admission, there was statistically significant increased risk of mortality for admissions during evening hours (OR = 1.44; 95% CI = 1.28-1.62) and night hours (OR = 1.92; 95% CI = 1.71-2.16). Diseases of cardiovascular and respiratory system remained the top two causes of death over the three years.

    CONCLUSION: The risk of mortality is significantly higher as a result of "weekend or off-hour effect". Recognition and intervention addressing these issues will have important implications for the healthcare system setting, hospital staffing and training, quality and timeliness of medical care delivery.
    Matched MeSH terms: Hospital Mortality*
  2. Jaiswal V, Ang SP, Ishak A, Nasir YM, Chia JE, Naz S, et al.
    J Investig Med, 2023 Mar;71(3):223-234.
    PMID: 36705027 DOI: 10.1177/10815589221140589
    To date, there were limited studies available on myocardial infarction (MI), and consequently, the outcomes of patients with type 1 myocardial infarction (T1MI) compared to type 2 myocardial infarction (T2MI) remained inconclusive. We aimed to compare the outcomes of T1MI and T2MI patients in terms of mortality and adverse cardiovascular outcomes. We performed a systematic literature search on PubMed, Embase, and Scopus for relevant articles from inception until March 20, 2022. 341,049 patients had T1MI, while the remaining 67,537 patients had T2MI. Mean age was similar between both groups (T1MI: 67.3 years, T2MI: 71.03 years), while the proportion of females was lower in T1MI (37.81% vs 47.15%). Our analysis revealed that patients with T1MI had significantly lower odds of all-cause mortality (OR 0.45, 95% CI 0.36-0.56, p 
    Matched MeSH terms: Hospital Mortality
  3. King TL, Tiong LL, Abdul Aziz Z, Law WC
    J Stroke Cerebrovasc Dis, 2023 Sep;32(9):107230.
    PMID: 37478524 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107230
    OBJECTIVES: The study aimed to determine the prevalence of untreated pharmacologically modifiable cardiovascular risk factors (PMRF) among patients with ischaemic stroke and the association with in-hospital mortality and functional outcome.

    METHODS: We analysed the data from ischaemic stroke cases admitted to Sarawak General Hospital between June 2013 and June 2021. We matched the underlying PMRFs with prior medications and categorised them as treated, untreated, or no PMRF. We calculated the prevalence and assessed the association between untreated PMRFs and in-hospital mortality or favourable functional outcome (FFO) at discharge, which was adjusted for age, sex, and other covariates in multivariable models.

    RESULTS: We included 1963 patients [65.4% male, 59.8 (SD 13.4) years]; 43.8% who had at least one untreated PMRF had triple the odds of in-hospital mortality [adjusted OR (aOR) 2.86, (95%CI 1.44, 5.70)], whereas 30.2% who had all PMRFs treated showed no significant association. Untreated hypertension [aOR 2.19 (95%CI 1.21, 3.98)], treated [aOR 3.02 (95%CI 1.32, 6.92)], and untreated atrial fibrillation [aOR 1.89 (95%CI 1.18, 3.03)] were significantly associated with more in-hospital death, whereas treated prior stroke was associated with fewer in-hospital death [aOR 0.31 (95%CI 0.11, 0.84)]. Treated diabetes [aOR 0.66 (95%CI 0.49, 0.88)] and untreated prior stroke [aOR 0.53 (95%CI 0.33, 0.83)] were associated with fewer FFO.

    CONCLUSION: The high prevalence of untreated underlying PMRFs was significantly associated with poorer outcomes among Malaysian patients with ischaemic stroke in Sarawak. Efforts are needed to promote early screening and treatment of cardiovascular risk factors to reduce the burdens and improve stroke outcomes in this region.

    Matched MeSH terms: Hospital Mortality
  4. Lee WS, Ooi TL
    Med J Malaysia, 1999 Sep;54(3):303-9.
    PMID: 11045055
    The risk factors and modes of death following acute diarrhoeal illness in children admitted to University Hospital, Kuala Lumpur between 1982 and 1997 were studied retrospectively. Among 4,689 cases of acute gastroenteritis admitted, ten deaths were noted. The case mortality rate was 2.1/1000 admissions. All deaths were infants below one year, with eight females and two males. Acute renal failure and acute pulmonary oedema were common preceding events. Female sex, infants less than twelve months, the presence of hyper or hyponatraemia and moderate to severe dehydration on admission were risk factors for deaths.
    Matched MeSH terms: Hospital Mortality*
  5. Lim TM, Naidu RR
    Med J Malaysia, 2001 Jun;56(2):240-2.
    PMID: 11771087
    This is a retrospective study of the annual mortality that occurred in the Department of Surgery, Alor Setar Hospital, for the years 1995 to 1997. This study looks at the number of admissions to the surgical wards and categorizes the causes of death. The annual mortality rates were 2.60, 2.89 and 3.25 per hundred admissions for the year 1995, 1996 and 1997 respectively. Head injury was the leading cause of death whilst sepsis and advanced malignancies second and third commonest causes. We hope that with the publication of these figures, we can initiate more studies to analyse similar local data.
    Matched MeSH terms: Hospital Mortality*
  6. Chang SH, Hsieh CH, Weng YM, Hsieh MS, Goh ZNL, Chen HY, et al.
    Biomed Res Int, 2018;2018:6983568.
    PMID: 30327779 DOI: 10.1155/2018/6983568
    Background: Renal abscess is a relatively uncommon yet debilitating and potentially fatal disease. There is no clearly defined, objective risk stratification tool available for emergency physicians' and surgeons' use in the emergency department (ED) to quickly determine the appropriate management strategy for these patients, despite early intervention having a beneficial impact on survival outcomes.

    Objective: This case control study evaluates the performance of Mortality in Emergency Department Sepsis Score (MEDS), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), and Rapid Acute Physiology Score (RAPS) in predicting risk of mortality in ED adult patients with renal abscess. This will help emergency physicians, surgeons, and intensivists expedite the time-sensitive decision-making process.

    Methods: Data from 152 adult patients admitted to the EDs of two training and research hospitals who had undergone a contrast-enhanced computed tomography scan of the abdomen and was diagnosed with renal abscess from January 2011 to December 2015 were analyzed, with the corresponding MEDS, MEWS, REMS, RAPS, and mortality risks calculated. Ability to predict patient mortality was assessed via receiver operating curve analysis and calibration analysis.

    Results: MEDS was found to be the best performing physiologic scoring system, with sensitivity, specificity, and accuracy of 87.50%, 88.89%, and 88.82%, respectively. Area under receiver operating characteristic curve (AUROC) value was 0.9440, and negative predictive value was 99.22% with a cutoff of 9 points.

    Conclusion: Our study is the largest of its kind in examining ED patients with renal abscess. MEDS has been demonstrated to be superior to MEWS, REMS, and RAPS in predicting mortality for this patient population. We recommend its use for evaluation of disease severity and risk stratification in these patients, to expedite identification of critically ill patients requiring urgent intervention.

    Matched MeSH terms: Hospital Mortality*
  7. Mohammed M, Muhammad S, Mohammed FZ, Mustapha S, Sha'aban A, Sani NY, et al.
    J Racial Ethn Health Disparities, 2021 10;8(5):1267-1272.
    PMID: 33051749 DOI: 10.1007/s40615-020-00888-3
    BACKGROUND: The novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in China and later spread rapidly to other parts of the world, including Africa. Africa was projected to be devastated by COVID-19. There is currently limited data regarding regional predictors of mortality among patients with COVID-19. This study aimed to evaluate the independent risk factors associated with mortality among patients with COVID-19 in Africa.

    METHODS: A total of 1028 confirmed cases of COVID-19 from Africa with definite survival outcomes were identified retrospectively from an open-access individual-level worldwide COVID-19 database. The live version of the dataset is available at https://github.com/beoutbreakprepared/nCoV2019 . Multivariable logistic regression was conducted to determine the risk factors that independently predict mortality among patients with COVID-19 in Africa.

    RESULTS: Of the 1028 cases included in study, 432 (42.0%) were females with a median (interquartile range, IQR) age of 50 (24) years. Older age (adjusted odds ratio {aOR} 1.06; [95% confidence intervals {95% CI}, 1.04-1.08]), presence of chronic disease (aOR 9.63; [95% CI, 3.84-24.15]), travel history (aOR 2.44; [95% CI, 1.26-4.72]), as well as locations of Central Africa (aOR 0.14; [95% CI, 0.03-0.72]) and West Africa (aOR 0.12; [95% CI, 0.04-0.32]) were identified as the independent risk factors significantly associated with increased mortality among the patients with COVID-19.

    CONCLUSIONS: The COVID-19 pandemic is evolving gradually in Africa. Among patients with COVID-19 in Africa, older age, presence of chronic disease, travel history, and the locations of Central Africa and West Africa were associated with increased mortality. A regional response should prioritize strategies that will protect these populations. Also, conducting a further in-depth study could provide more insights into additional factors predictive of mortality in COVID-19 patients.

    Matched MeSH terms: Hospital Mortality*
  8. Lim SCL, Hor CP, Tay KH, Mat Jelani A, Tan WH, Ker HB, et al.
    JAMA Intern Med, 2022 Apr 01;182(4):426-435.
    PMID: 35179551 DOI: 10.1001/jamainternmed.2022.0189
    IMPORTANCE: Ivermectin, an inexpensive and widely available antiparasitic drug, is prescribed to treat COVID-19. Evidence-based data to recommend either for or against the use of ivermectin are needed.

    OBJECTIVE: To determine the efficacy of ivermectin in preventing progression to severe disease among high-risk patients with COVID-19.

    DESIGN, SETTING, AND PARTICIPANTS: The Ivermectin Treatment Efficacy in COVID-19 High-Risk Patients (I-TECH) study was an open-label randomized clinical trial conducted at 20 public hospitals and a COVID-19 quarantine center in Malaysia between May 31 and October 25, 2021. Within the first week of patients' symptom onset, the study enrolled patients 50 years and older with laboratory-confirmed COVID-19, comorbidities, and mild to moderate disease.

    INTERVENTIONS: Patients were randomized in a 1:1 ratio to receive either oral ivermectin, 0.4 mg/kg body weight daily for 5 days, plus standard of care (n = 241) or standard of care alone (n = 249). The standard of care consisted of symptomatic therapy and monitoring for signs of early deterioration based on clinical findings, laboratory test results, and chest imaging.

    MAIN OUTCOMES AND MEASURES: The primary outcome was the proportion of patients who progressed to severe disease, defined as the hypoxic stage requiring supplemental oxygen to maintain pulse oximetry oxygen saturation of 95% or higher. Secondary outcomes of the trial included the rates of mechanical ventilation, intensive care unit admission, 28-day in-hospital mortality, and adverse events.

    RESULTS: Among 490 patients included in the primary analysis (mean [SD] age, 62.5 [8.7] years; 267 women [54.5%]), 52 of 241 patients (21.6%) in the ivermectin group and 43 of 249 patients (17.3%) in the control group progressed to severe disease (relative risk [RR], 1.25; 95% CI, 0.87-1.80; P = .25). For all prespecified secondary outcomes, there were no significant differences between groups. Mechanical ventilation occurred in 4 (1.7%) vs 10 (4.0%) (RR, 0.41; 95% CI, 0.13-1.30; P = .17), intensive care unit admission in 6 (2.4%) vs 8 (3.2%) (RR, 0.78; 95% CI, 0.27-2.20; P = .79), and 28-day in-hospital death in 3 (1.2%) vs 10 (4.0%) (RR, 0.31; 95% CI, 0.09-1.11; P = .09). The most common adverse event reported was diarrhea (14 [5.8%] in the ivermectin group and 4 [1.6%] in the control group).

    CONCLUSIONS AND RELEVANCE: In this randomized clinical trial of high-risk patients with mild to moderate COVID-19, ivermectin treatment during early illness did not prevent progression to severe disease. The study findings do not support the use of ivermectin for patients with COVID-19.

    TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04920942.

    Matched MeSH terms: Hospital Mortality
  9. Bateson BP, Deng L, Ange B, Austin E, Dabal R, Broser T, et al.
    World J Pediatr Congenit Heart Surg, 2023 Nov;14(6):701-707.
    PMID: 37386780 DOI: 10.1177/21501351231176189
    BACKGROUND: Mortality associated with the correction of congenital heart disease has decreased to approximately 2% in developed countries and major adverse events are uncommon. Outcomes in developing countries are less well defined. The World Database for Pediatric and Congenital Heart Surgery was utilized to compare mortality and adverse events in developed and developing countries.

    METHODS: A total of 16,040 primary procedures were identified over a two-year period. Centers that submitted procedures were dichotomized to low/middle income (LMI) and high income (HI) by the Gross National Income per capita categorization. Mortality was defined as any death following the primary procedure to discharge or 90 days inpatient. Multiple logistic regression models were utilized to identify independent predictors of mortality.

    RESULTS: Of the total number of procedures analyzed, 83% (n  =  13,294) were from LMI centers. Among all centers, the mean age at operation was 2.2 years, with 36% (n  =  5,743) less than six months; 85% (n  =  11,307) of procedures were STAT I/II for LMI centers compared with 77% (n = 2127) for HI centers (P 

    Matched MeSH terms: Hospital Mortality
  10. Li A, Ling L, Qin H, Arabi YM, Myatra SN, Egi M, et al.
    Am J Respir Crit Care Med, 2022 Nov 01;206(9):1107-1116.
    PMID: 35763381 DOI: 10.1164/rccm.202112-2743OC
    Rationale: Directly comparative data on sepsis epidemiology and sepsis bundle implementation in countries of differing national wealth remain sparse. Objectives: To evaluate across countries/regions of differing income status in Asia 1) the prevalence, causes, and outcomes of sepsis as a reason for ICU admission and 2) sepsis bundle (antibiotic administration, blood culture, and lactate measurement) compliance and its association with hospital mortality. Methods: A prospective point prevalence study was conducted among 386 adult ICUs from 22 Asian countries/regions. Adult ICU participants admitted for sepsis on four separate days (representing the seasons of 2019) were recruited. Measurements and Main Results: The overall prevalence of sepsis in ICUs was 22.4% (20.9%, 24.5%, and 21.3% in low-income countries/regions [LICs]/lower middle-income countries/regions [LMICs], upper middle-income countries/regions, and high-income countries/regions [HICs], respectively; P 
    Matched MeSH terms: Hospital Mortality
  11. Kasim S, Malek S, Song C, Wan Ahmad WA, Fong A, Ibrahim KS, et al.
    PLoS One, 2022;17(12):e0278944.
    PMID: 36508425 DOI: 10.1371/journal.pone.0278944
    BACKGROUND: Conventional risk score for predicting in-hospital mortality following Acute Coronary Syndrome (ACS) is not catered for Asian patients and requires different types of scoring algorithms for STEMI and NSTEMI patients.

    OBJECTIVE: To derive a single algorithm using deep learning and machine learning for the prediction and identification of factors associated with in-hospital mortality in Asian patients with ACS and to compare performance to a conventional risk score.

    METHODS: The Malaysian National Cardiovascular Disease Database (NCVD) registry, is a multi-ethnic, heterogeneous database spanning from 2006-2017. It was used for in-hospital mortality model development with 54 variables considered for patients with STEMI and Non-STEMI (NSTEMI). Mortality prediction was analyzed using feature selection methods with machine learning algorithms. Deep learning algorithm using features selected from machine learning was compared to Thrombolysis in Myocardial Infarction (TIMI) score.

    RESULTS: A total of 68528 patients were included in the analysis. Deep learning models constructed using all features and selected features from machine learning resulted in higher performance than machine learning and TIMI risk score (p < 0.0001 for all). The best model in this study is the combination of features selected from the SVM algorithm with a deep learning classifier. The DL (SVM selected var) algorithm demonstrated the highest predictive performance with the least number of predictors (14 predictors) for in-hospital prediction of STEMI patients (AUC = 0.96, 95% CI: 0.95-0.96). In NSTEMI in-hospital prediction, DL (RF selected var) (AUC = 0.96, 95% CI: 0.95-0.96, reported slightly higher AUC compared to DL (SVM selected var) (AUC = 0.95, 95% CI: 0.94-0.95). There was no significant difference between DL (SVM selected var) algorithm and DL (RF selected var) algorithm (p = 0.5). When compared to the DL (SVM selected var) model, the TIMI score underestimates patients' risk of mortality. TIMI risk score correctly identified 13.08% of the high-risk patient's non-survival vs 24.7% for the DL model and 4.65% vs 19.7% of the high-risk patient's non-survival for NSTEMI. Age, heart rate, Killip class, cardiac catheterization, oral hypoglycemia use and antiarrhythmic agent were found to be common predictors of in-hospital mortality across all ML feature selection models in this study. The final algorithm was converted into an online tool with a database for continuous data archiving for prospective validation.

    CONCLUSIONS: ACS patients were better classified using a combination of machine learning and deep learning in a multi-ethnic Asian population when compared to TIMI scoring. Machine learning enables the identification of distinct factors in individual Asian populations to improve mortality prediction. Continuous testing and validation will allow for better risk stratification in the future, potentially altering management and outcomes.

    Matched MeSH terms: Hospital Mortality
  12. Al Sulaiman K, Aljuhani O, Korayem GB, Alnajjar LI, Altebainawi AF, AlFaifi M, et al.
    Clin Appl Thromb Hemost, 2023;29:10760296231177017.
    PMID: 37322869 DOI: 10.1177/10760296231177017
    Doxycycline has revealed potential effects in animal studies to prevent thrombosis and reduce mortality. However, less is known about its antithrombotic role in patients with COVID-19. Our study aimed to evaluate doxycycline's impact on clinical outcomes in critically ill patients with COVID-19. A multicenter retrospective cohort study was conducted between March 1, 2020, and July 31, 2021. Patients who received doxycycline in intensive care units (ICUs) were compared to patients who did not (control). The primary outcome was the composite thrombotic events. The secondary outcomes were 30-day and in-hospital mortality, length of stay, ventilator-free days, and complications during ICU stay. Propensity score (PS) matching was used based on the selected criteria. Logistic, negative binomial, and Cox proportional hazards regression analyses were used as appropriate. After PS (1:3) matching, 664 patients (doxycycline n = 166, control n = 498) were included. The number of thromboembolic events was lower in the doxycycline group (OR: 0.54; 95% CI: 0.26-1.08; P = .08); however, it failed to reach to a statistical significance. Moreover, D-dimer levels and 30-day mortality were lower in the doxycycline group (beta coefficient [95% CI]: -0.22 [-0.46, 0.03; P = .08]; HR: 0.73; 95% CI: 0.52-1.00; P = .05, respectively). In addition, patients who received doxycycline had significantly lower odds of bacterial/fungal pneumonia (OR: 0.65; 95% CI: 0.44-0.94; P = .02). The use of doxycycline as adjunctive therapy in critically ill patients with COVID-19 might may be a desirable therapeutic option for thrombosis reduction and survival benefits.
    Matched MeSH terms: Hospital Mortality
  13. Inbasegaran K, Kandasami P, Sivalingam N
    Med J Malaysia, 1998 Dec;53(4):334-42.
    PMID: 10971975
    An audit of all perioperative deaths within seven days of surgery in 14 major public hospitals is presented. This study is part of a quality assurance programme examining the surgical and anaesthetic practices in these hospitals. During the study period from July 1992 till June 1994, 211,354 surgeries were performed and 715 deaths were reported out of which 699 were available for analysis. The data was obtained by confidential enquiry using predetermined questionnaires filled by participating surgeons and anaesthetists and analysed by a group of peers. The overall crude mortality rate was 0.34% and the majority of the deaths occurred in severely ill patients in whom the clinical management was satisfactory. Polytrauma including head, intra-abdominal and skeletal trauma accounted for 253 of the deaths (36.19%). The other causes were bowel obstruction with sepsis, burns, ischaemic limbs, congenital malformations in neonates and pregnancy-related hemorrhage. 62.52% of the deaths occurred within two days of surgery and 85.87% were related to emergency procedures. The review identified some shortfalls in perioperative care and these were lack of adequate critical care facilities, lack of supervision, unnecessary surgery in the moribund and inadequate preoperative optimisation. The results of the study have been forwarded to all participating hospitals for implementation of remedial measures.
    Matched MeSH terms: Hospital Mortality*
  14. Goh AY, Mok Q
    Acta Paediatr, 2004 Jan;93(1):47-52.
    PMID: 14989439
    AIM: To study the aetiology and clinical course of children with brainstem death in a paediatric intensive care unit (ICU) and to determine whether current the practices that are used to declare brainstem death conform to accepted criteria.
    METHODS: A retrospective review chart of all patients with brainstem death (n = 31) admitted to the paediatric ICU between January 1995 and December 1998 was drawn up.
    RESULTS: Mean age of the patients was 51.9 +/- 54.5 mo with the main diagnoses being head trauma in 11 children, anoxic encephalopathy in 7, brain tumour in 5, drowning in 4, CNS haemorrhage in 3 and CNS infection in 1 child; 32.3% of the children were given pre-ICU admission cardiopulmonary resuscitation. The average time from insult to suspected brainstem death was 27 h and suspected brainstem death to confirmation was 25 h, with an average of 1.6 examinations performed. EEG was done in 14 patients, with electrocerebral silence in 8 after the first examination and in a further 5 after repeat testing. Cerebral blood-flow scans were done in 3 children and evoked potentials in 1 child.
    CONCLUSIONS: Trauma remains the most common primary diagnosis leading to brainstem death. Intensivists in this large hospital for children mainly conform to accepted guidelines for determination of brainstem death although there is a wider use of ancillary tests to aid diagnosis. The study also showed a low rate of < 10% of organ procurement for transplantation.

    Study site: Paediatric ICU, Great Ormond Street Hospital, London, United Kingdom
    Matched MeSH terms: Hospital Mortality*
  15. Kandasami P, Inbasegaran K, Lim WL
    Med J Malaysia, 2003 Aug;58(3):413-9.
    PMID: 14750382
    This paper examines the surgical pathology associated with perioperative deaths in a country that is undergoing the transition from a developing to a developed nation status. The data from an ongoing nation-wide perioperative mortality study was prospectively collected for the period July 1996 to December 1997 and analyzed. The surgical pathology related to perioperative deaths in Malaysia is different from other developing and developed countries. While death from trauma and the late presentation of surgical conditions are similar to developing countries, infective gastrointestinal conditions were rarely encountered. Diseases associated with advanced age such as colorectal cancer, peptic ulcer, urological diseases and vascular conditions are beginning to emerge. As the country races towards a developed nation status, increasing life expectancy and changing life-styles are expected to influence the disease pattern. The planning of surgical facilities and manpower development must recognize the changes taking place.
    Matched MeSH terms: Hospital Mortality*
  16. Cheng TH, Sie YD, Hsu KH, Goh ZNL, Chien CY, Chen HY, et al.
    PMID: 32646021 DOI: 10.3390/ijerph17134904
    Deciding between palliative and overly aggressive therapies for advanced cancer patients who present to the emergency department (ED) with acute issues requires a prediction of their short-term survival. Various scoring systems have previously been studied in hospices or intensive care units, though they are unsuitable for use in the ED. We aim to examine the use of a shock index (SI) in predicting the 60-day survival of advanced cancer patients presenting to the ED. Identified high-risk patients and their families can then be counseled accordingly. Three hundred and five advanced cancer patients who presented to the EDs of three tertiary hospitals were recruited, and their data retrospectively analyzed. Relevant data regarding medical history and clinical presentation were extracted, and respective shock indices calculated. Multivariate logistic regression analyses were performed. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive performance of the SI. Nonsurvivors within 60 days had significantly lower body temperatures and blood pressure, as well as higher pulse rates, respiratory rates, and SI. Each 0.1 SI increment had an odds ratio of 1.39 with respect to 60-day mortality. The area under the ROC curve was 0.7511. At the optimal cut-off point of 0.94, the SI had 81.38% sensitivity and 73.11% accuracy. This makes the SI an ideal evaluation tool for rapidly predicting the 60-day mortality risk of advanced cancer patients presenting to the ED. Identified patients can be counseled accordingly, and they can be assisted in making informed decisions on the appropriate treatment goals reflective of their prognoses.
    Matched MeSH terms: Hospital Mortality*
  17. Lau MY, Teng FE, Chua KH, Ponnampalavanar S, Chong CW, Abdul Jabar K, et al.
    Pathogens, 2021 Mar 02;10(3).
    PMID: 33801250 DOI: 10.3390/pathogens10030279
    The emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP) is a great concern, as carbapenems are the last-line therapy for multidrug-resistant Gram-negative bacteria infections. This study aims to report the epidemiology of CRKP in a teaching hospital in Malaysia based on the molecular genotypic and clinical characteristics of the isolates. Sixty-three CRKP strains were isolated from a tertiary teaching hospital from January 2016 until August 2017. Carbapenemase genes were detected in 55 isolates, with blaOXA-48 (63.5%) as the predominant carbapenemase gene, followed by blaNDM (36.5%). At least one porin loss was detected in nine isolates. Overall, 63 isolates were divided into 30 clusters at similarity of 80% with PFGE analysis. Statistical analysis showed that in-hospital mortality was significantly associated with the usage of central venous catheter, infection or colonization by CRKP, particularly NDM-producers. In comparison, survival analysis using Cox proportional hazards regression identified a higher hazard ratio for patients with a stoma and patients treated with imipenem but a lower hazard ratio for patients with NDM-producing CRKP. OXA-48 carbapenemase gene was the predominant carbapenemase gene in this study. As CRKP infection could lead to a high rate of in-hospital mortality, early detection of the isolates was important to reduce their dissemination.
    Matched MeSH terms: Hospital Mortality
  18. Chuah CH, Gani Y, Sim B, Chidambaram SK
    J R Coll Physicians Edinb, 2021 03;51(1):24-30.
    PMID: 33877130 DOI: 10.4997/JRCPE.2021.107
    BACKGROUND: Carbapenem-resistant Enterobacteriaceae (CRE) infection has become a major challenge to clinicians. The aim of this study is to identify the risk factors of acquiring CRE to guide more targeted screening for hospital admissions.

    METHODS: This is a retrospective case-control study (ratio 1:1) where a patient with CRE infection or colonisation was matched with a control. The control was an individual who tested negative for CRE but was a close contact of a patient testing positive and was admitted at the same time and place. Univariate and multivariate statistical analyses were done.

    RESULTS: The study included 154 patients. The majority of the CRE was Klebsiella species (83%). From univariate analysis, the significant risk factors were having a history of indwelling devices (OR: 2.791; 95% CI: 1.384-5.629), concomitant other MDRO (OR: 2.556; 95% CI: 1.144-5.707) and hospitalisation for more than three weeks (OR: 2.331; 95% CI: 1.163-4.673). Multivariate analysis showed that being unable to ambulate on admission (adjusted OR: 2.345; 95% CI: 1.170-4.699) and antibiotic exposure (adjusted OR: 3.515; 95% CI: 1.377-8.972) were independent predictors. The in-hospital mortality rate of CRE infection was high (64.5%). CRE acquisition resulted in prolonged hospitalisation (median=35 days; P<0.001).

    CONCLUSION: CRE infection results in high morbidity and mortality. On top of the common risk factors, patients with mobility restriction, prior antibiotic exposures and hospitalisation for more than three weeks should be prioritised in the screening strategy to control the spread of CRE.

    Matched MeSH terms: Hospital Mortality
  19. Kipourou DK, Leyrat C, Alsheridah N, Almazeedi S, Al-Youha S, Jamal MH, et al.
    BMC Public Health, 2021 04 26;21(1):799.
    PMID: 33902520 DOI: 10.1186/s12889-021-10759-z
    BACKGROUND: Subsequent epidemic waves have already emerged in many countries and in the absence of highly effective preventive and curative options, the role of patient characteristics on the development of outcomes needs to be thoroughly examined, especially in middle-east countries where such epidemiological studies are lacking. There is a huge pressure on the hospital services and in particular, on the Intensive Care Units (ICU). Describing the need for critical care as well as the chance of being discharged from hospital according to patient characteristics, is essential for a more efficient hospital management. The objective of this study is to describe the probabilities of admission to the ICU and the probabilities of hospital discharge among positive COVID-19 patients according to demographics and comorbidities recorded at hospital admission.

    METHODS: A prospective cohort study of all patients with COVID-19 found in the Electronic Medical Records of Jaber Al-Ahmad Al-Sabah Hospital in Kuwait was conducted. The study included 3995 individuals (symptomatic and asymptomatic) of all ages who tested positive from February 24th to May 27th, 2020, out of which 315 were treated in the ICU and 3619 were discharged including those who were transferred to a different healthcare unit without having previously entered the ICU. A competing risk analysis considering two events, namely, ICU admission and hospital discharge using flexible hazard models was performed to describe the association between event-specific probabilities and patient characteristics.

    RESULTS: Results showed that being male, increasing age and comorbidities such as chronic kidney disease (CKD), asthma or chronic obstructive pulmonary disease and weakened immune system increased the risk of ICU admission within 10 days of entering the hospital. CKD and weakened immune system decreased the probabilities of discharge in both females and males however, the age-related pattern differed by gender. Diabetes, which was the most prevalent comorbid condition, had only a moderate impact on both probabilities (18% overall) in contrast to CKD which had the largest effect, but presented only in 7% of those admitted to ICU and in 1% of those who got discharged. For instance, within 5 days a 50-year-old male had 19% (95% C.I.: [15,23]) probability of entering the ICU if he had none of these comorbidities, yet this risk jumped to 31% (95% C.I.: [20,46]) if he had also CKD, and to 27% in the presence of asthma/COPD (95% C.I.: [19,36]) or of weakened immune system (95% C.I.: [16,42]).

    CONCLUSIONS: This study provides useful insight in describing the probabilities of ICU admission and hospital discharge according to age, gender, and comorbidities among confirmed COVID-19 cases in Kuwait. A web-tool is also provided to allow the user to estimate these probabilities for any combination of these covariates. These probabilities enable deeper understanding of the hospital demand according to patient characteristics which is essential to hospital management and useful for developing a vaccination strategy.

    Matched MeSH terms: Hospital Mortality
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