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@#Objective: Coronavirus disease (COVID-19) vaccinations have been shown to prevent infection with efficacies ranging from 50% to 95%. This study assesses the impact of vaccination on the clinical severity of COVID-19 during the second wave in Brunei Darussalam in 2021, which was due to the Delta variant. Methods: Patients included in this study were randomly selected from those who were admitted with COVID-19 to the National Isolation Centre between 7 August and 6 October 2021. Cases were categorized as asymptomatic, mild (symptomatic without pneumonia), moderate (pneumonia), severe (needing supplemental oxygen therapy) or critical (needing mechanical ventilation) but for statistical analysis purposes were dichotomized into asymptomatic/mild or moderate/severe/critical cases. Univariate and multivariable analyses were conducted to identify risk factors associated with moderate/severe/critical disease. Propensity score-matched analysis was also performed to evaluate the impact of vaccination on disease severity. Results: The study cohort of 788 cases (mean age: 42.1 + 14.6 years; 400 males) comprised 471 (59.8%) asymptomatic/mild and 317 (40.2%) moderate/severe/critical cases. Multivariable logistic regression analysis showed older age group (>45 years), diabetes mellitus, overweight/obesity and vaccination status to be associated with increased severity of disease. In propensity score-matched analysis, the relative risk of developing moderate/severe/critical COVID-19 for fully vaccinated (two doses) and partially vaccinated (one dose) cases was 0.33 (95% confidence interval [CI]: 0.16–0.69) and 0.62 (95% CI: 0.46–0.82), respectively, compared with a control group of non-vaccinated cases. The corresponding relative risk reduction (RRR) values were 66.5% and 38.4%, respectively. Vaccination was also protective against moderate/severe/critical disease in a subgroup of overweight/obese patients (RRR: 37.2%, P = 0.007). Discussion: Among those who contracted COVID-19, older age, having diabetes, being overweight/obese and being unvaccinated were significant risk factors for moderate/severe/critical disease. Vaccination, even partial, was protective against moderate/severe/critical disease.
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@#Abstract: Objective To analyze the epidemiological characteristics of 151 cases of melioidosis and the drug resistance of Burkholderia pseudomallei (BP), in order to provide the basis for diagnosis, treatment and reasonable prevention of melioidosis. Methods A total of 151 inpatients and outpatients from the Second Affiliated Hospital of Hainan Medical University from January 1, 2013 to August 31, 2022 were collected, and clinical specimens were submitted for examination to isolate and identify BP strains. The clinical data of 151cases of melioidosis and the drug resistance characteristics of pathogenic bacteria were retrospectively analyzed, and using SPSS26.0 software for statistical analysis. Results Among 151 cases with BP infection, there were 138 males (91.4%) and 13 females (8.6%); the most patients were aged from 45-<60 years old, accounting for 74 cases (49.0%); melioidosis incidence was concentrated in October (19.2%), November (19.2%), August (9.9%) and July (8.6%), and; the number of confirmed cases showed an increasing trend and the time for confirmation was <10 d; Internal medicine system (31.1%), surgery system (26.5%) and intensive care department (20.5%) were the common departments for treating melioidosis; blood (49.0%), sputum (9.9%) and wound secretion (8.6%) were the main clinical specimens for detecting BP; pulmonary infection (68.2%), sepsis (35.1%) and local suppurative infection (23.8%) were the top clinical manifestations in patients with BP infection; the effective rate of treating melioidosis was 74.8%; abnormal liver function was a risk factor for the curative effect of melioidosis (χ2=5.010, P<0.05); the sensitivity rates of BP strains to sulfamethoxazole-trimethoprim (SXT), doxycycline (DOX), imipenem(IPM), ceftazidime (CAZ), amoxicillin/clavulanate (AMC) and tetracycline (TCY) were generally more than 90%, with sensitivities of 98.7%, 97.2%, 96.7%, 94.0%, 93.2% and 90.7%, respectively. Conclusions It can be concluded that misdiagnosis or missed diagnosis of melioidosis is easy to occur, and the understanding of the epidemiological characteristics and risk factors in this area should be strengthened. The sensitivity of BP to commonly used antibiotics has shown a certain downward trend, clinical use should be standardized, and drug resistance monitoring should be strengthened to improve the efficacy of melioidosis treatment.
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@#Objective: Patients who recover from coronavirus disease (COVID-19) infection are at risk of long-term health disorders and may require prolonged health care. This retrospective observational study assesses the number of health-care visits before and after COVID-19 infection in Brunei Darussalam. Methods: COVID-19 cases from the first wave with 12 months of follow-up were included. Health-care utilization was defined as health-care visits for consultations or investigations. Post-COVID condition was defined using the World Health Organization definition. Results: There were 132 cases; 59.1% were male and the mean age was 37.1 years. The mean number of health-care visits 12 months after recovery from COVID-19 (123 cases, 93.2%; mean 5.0 ± 5.2) was significantly higher than the prior 12 months (87 cases, 65.9%, P<0.001; mean 3.2 ± 5.7, P<0.001). There was no significant difference when scheduled COVID-19 visits were excluded (3.6 ± 4.9, P = 0.149). All 22 cases with moderate to critical disease recovered without additional health-care visits apart from planned post-COVID-19 visits. Six patients had symptoms of post-COVID condition, but none met the criteria for diagnosis or had alternative diagnoses. Discussion: There were significantly more health-care visits following recovery from COVID-19. However, this was due to scheduled post-COVID-19 visits as per the national management protocol. This protocol was amended prior to the second wave to omit post-COVID-19 follow-up, except for complicated cases or cases with no documented radiological resolution of COVID-19 pneumonia. This will reduce unnecessary health-care visits and conserve precious resources that were stretched to the limit during the pandemic.
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@#Coronavirus disease (COVID-19) and tuberculosis (TB) coinfection is expected to become more common in countries where TB is endemic, and coinfection has been reported to be associated with less favourable outcomes. Knowing about the manifestations and outcomes of coinfection is important as COVID-19 becomes endemic. During the second wave of the COVID-19 pandemic in Brunei Darussalam, we encountered seven patients with COVID-19 and Mycobacterium coinfection. Cases of coinfection included three patients with newly diagnosed pulmonary Mycobacterium infection (two cases of pulmonary TB [PTB] and one case of Mycobacterium fortuitum infection) and four patients who were already being treated for TB (three cases of PTB and one case of TB lymphadenitis). Among the new cases, one had previously tested negative for PTB during a pre-employment medical fitness evaluation and had defaulted from follow up and evaluation. One case died: a 42-year-old man with diabetes mellitus, chronic kidney disease and hypertension who had severe COVID-19 and needed urgent dialysis and supplemental oxygen. All other patients recovered from COVID-19 and completed their TB treatment.
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@#Abstract： Objective To analyze the characteristics and corresponding drug resistance of pathogenic bacterial spectrum in eight major infection sites of hospitalized patients, and to provide epidemiological data for the rational selection of antibiotics in clinical practice. Methods A total of 396 bacterial strains isolated from clinical specimens of hospitalized patients in member institutions of the Hainan Provincial Bacterial Resistance Monitoring Network from September 1, 2020, to September 30, 2022, were included in this study. Data were screened and filtered from the database of MH120 Microbial Identification and Drug Sensitivity Analysis System based on the technical scheme of the National Bacterial Drug Resistance Surveillance Network and Science and Technology Basic Resources Investigation Project research plan in 2020. The testing data were integrated, summarized, and analyzed using EXCEL and WHONET 5.6 software, and statistical analysis was conducted using SPSS 26.0 software. Results Among of 396 strains of bacteria, 78 (19.7%) were isolated from respiratory tract specimens, 74 (18.7%) from urinary tract specimens, 72 (18.2%) from blood specimens, 54 (13.6%) from abdominal cavity specimens, 48 (12.1%) from skin and soft tissue specimens 48 strains (12.1%), 30 (7.6%) from reproductive tract specimens, 22 (5.6%) from central nervous system specimens, 18 (4.5%) from digestive tract specimens. Gram-negative bacteria accounted for 69.4% of the isolates, while gram-positive bacteria accounted for 30.6%. The top five gram-negative bacteria isolated were Klebsiella pneumoniae (14.9%), Escherichia coli (14.4%), Pseudomonas aeruginosa (10.4%), Acinetobacter baumannii (5.3%), and Salmonella species (4.5%). The top five gram-positive bacteria were Staphylococcus aureus (11.1%), Streptococcus agalactis (7.8%), Enterococcus faecalis (3.0%), Enterococcus faecium (2.8%), and Streptococcus suis (1.8%). Respiratory failure and bloodstream infection were independent influencing factors of treatment response (P<0.01). The resistance rate of Escherichia coli to ampicillin was 81.4%, and the resistance rate of Staphylococcus aureus to gentamicin and levofloxacin were both below 7%. Conclusions The pathogen spectra vary with different infection sites of patients, and rational selection of antibiotics based on drug susceptibility testing is crucial to shorten the treatment time of patients and avoid the unnecessary emergence of drug-resistant strains caused by drug abuse.
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@#Abstract: To report the diagnosis and treatment of Mucor infection in two cases of renal transplantation, and to provide reference for diagnosis and treatment of Mucor infection. Case 1, a male patient, who underwent allogeneic kidney transplantation due to increased creatinine for more than 8 years. The renal function had partially recovered 25 days after the operation, but then the patient suddenly got worse epigastric pain. Pathogen culture, smear microscopy, mass spectrometry identification and next-generation metagenomic sequencing (mNGS) were performed on the peritoneal drainage, with the result pointing to Rhizopus microsporus. The patient's condition improved after antifungal treatment using amphotericin B lipid complex (ABLC) and was discharged. Case 2, a male patient with hypertension and increased creatinine for more than 7 years was admitted to the hospital. After allograft kidney transplantation, tissue culture smear and histopathological examination suggested Mucor infection. The patient then underwent a "hand muscle debridement surgery + closed negative pressure drainage (VSD)" procedure, and amphotericin B was given postoperative treatment against Mucor infection and debridement. Subsequent retesting with mNGS showed no signs of Mucor infection. In the course of treatment, two patients developed abdominal pain after treatment with tegacycline, which was immediately diagnosed as pancreatitis and recovered after withdrawal. Both patients being male, with one case associated with hypertension. After initially guiding the diagnosis with traditional smear tests, final confirmation was done using histopathological examination, mNGS and mass spectrometry. One case was infected by Rhizopus microspora, and the other was infected by Rhizopus oryzae and Cunninghamia microbicans. The causes leading to Mucor infection in patients post renal transplantation varied greatly. Early diagnosis is the key to treatment of patients with Mucor infection after renal transplantation. Treatment with amphoteric B and its liposome is an effective means to improve mucormycosis patients after renal transplantation. The use of amphotericin B lipid complex treatment proved to be an effective treatment method for patients with Mucor infection after renal transplantation.
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@#In any infectious disease outbreak, early diagnosis, isolation of cases and quarantine of contacts are central to disease containment. In Brunei Darussalam, suspected cases of coronavirus disease 2019 (COVID-19) were quarantined either at home or at designated centres and were tested immediately for severe acute respiratory syndrome coronavirus 2. We report on 10 cases of COVID-19 that initially tested negative for COVID-19 and were positive on re-testing after becoming symptomatic. These cases comprised 3.8% of the 266 total confirmed COVID-19 cases in Brunei Darussalam as of 9 July 2021, when this study was conducted. All the cases were in quarantine at home and were tested early during their quarantine period. Since then, home quarantine has been replaced by quarantine at designated centres only, with testing on the 12th day of quarantine.
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Abstract@#Differences in clinical manifestations between strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported. This retrospective descriptive study compares the clinical and demographic characteristics of all confirmed coronavirus disease (COVID-19) cases admitted to the National Isolation Centre (NIC) in the first wave and at the beginning of the second wave of the pandemic in Brunei Darussalam.@*Methods@#All COVID-19 cases admitted to the NIC between 9 March and 6 May 2020 (first wave) and 7–17 August 2021 (second wave) were included. Data were obtained from NIC databases and case characteristics compared using Student’s t-tests and chi-squared tests, as appropriate.@*Results@#Cases from the first wave were significantly older than those from the second wave (mean 37.2 vs 29.7 years, P<0.001), and a higher proportion reported comorbidities (30.5% vs 20.3%, P=0.019). Cases from the second wave were more likely to be symptomatic at admission (77.7% vs 63.1%, P<0.001), with a higher proportion reporting cough, anosmia, sore throat and ageusia/dysgeusia; however, myalgia and nausea/vomiting were more common among symptomatic first wave cases (all P<0.05). There was no difference in the mean number of reported symptoms (2.6 vs 2.4, P=0.890).@*Discussion@#Our study showed clear differences in the profile of COVID-19 cases in Brunei Darussalam between the first and second waves, reflecting a shift in the predominating SARS-CoV-2 strain. Awareness of changes in COVID-19 disease manifestation can help guide adjustments to management policies such as duration of isolation, testing strategies, and criteria for admission and treatment.
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Problem@#Soon after the start of the second wave of coronavirus disease 2019 (COVID-19) in Brunei Darussalam, which was confirmed to be due to the more infectious Delta strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it became apparent that the National Isolation Centre (NIC) was not coping.@*Context@#The NIC was the only isolation and treatment centre for COVID-19 in Brunei Darussalam. During the first wave and the first 11 days of the second wave, all confirmed cases were admitted to the NIC for isolation and treatment in line with the management strategy to isolate all confirmed cases to control the outbreak.@*Action@#The Ministry of Health opened five community isolation centres and two quarantine centres to divert asymptomatic and mild cases from the NIC. The community isolation centres also functioned as triage centres for the NIC, and the quarantine centres accommodated recovered patients who did not have their own quarantine facilities.@*Outcome@#The community isolation and quarantine centres diverted cases from the NIC and enabled recovered cases to be transferred to these step-down facilities. This reduced the NIC’s occupancy to a safe level and enabled the reorganization of the NIC to function as a treatment centre and a national COVID-19 hospital.@*Discussion@#During any disease outbreak, health facilities must be prepared to adapt to changing situations. Strong leadership, stakeholder commitments, teamwork and constant communication are important in this process.
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@#Objective: This retrospective, cross-sectional, observational study assessed the duration of coronavirus disease 2019 (COVID-19) symptoms during the second wave in Brunei Darussalam. Methods: Data from COVID-19 cases admitted to the National Isolation Centre during 7–30 August 2021 were included in the study. Symptom onset and daily symptom assessments were entered into a database during hospitalization and disease was categorized by severity. The time between symptom onset and hospital admission, the duration of symptoms and length of hospitalization were assessed separately by age group, disease severity and vaccination status using one-way analysis of variance with Bonferroni post hoc corrections. Results: Data from 548 cases were included in the study: 55.7% (305) of cases were male, and cases had a mean age of 33.7 years. Overall, 81.3% (446) reported symptoms at admission (mean number of symptoms and standard deviation: 2.8 ± 1.6), with cough (59.1%; 324), fever (38.9%; 213) and sore throat (18.4%; 101) being the most common. Being older, having more severe disease and being unvaccinated were significantly associated with the time between symptom onset and hospital admission, symptom duration and length of hospitalization. Discussion: Knowing which factors predict the duration of COVID-19 symptoms can help in planning management strategies, such as the duration of isolation, predict the length of hospitalization and treatment, and provide more accurate counselling to patients regarding their illness.
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@#Abstract: Objective To analyze the etiological characteristics and drug resistance of patients with bloodstream infection (BSI) in the bacterial resistance monitoring network in Hainan Province from 2018 to 2020, so as to provide laboratory data for clinical diagnosis and treatment. Methods The clinical data of the subjects were collected, and the etiological characteristics of BSI patients and drug resistance of commonly used drugs in clinical treatment were analyzed retrospectively. SPSS 26.0 software was used for statistical analysis. Results A total of 877 strains were isolated, including Gram-negative bacteria (584 strains, 66.6%), Gram-positive bacteria (239 strains, 27.2%) and fungi (54 strains, 6.2%); male patients (591 cases, 67.4%), female patients (286 cases, 32.6%); inpatients (780 cases, 88.9%), outpatient and emergency patients (97 cases, 11.1%); the main primary diseases of BSI patients were hypertension, cerebral infarction and type 2 diabetes, and the main primary infections were pulmonary infection and urinary system infection. Intensive care unit (25.2%, 221 cases), emergency department (10.9%, 96 cases), oncology department (9.1%, 80 cases), nephrology department (6.8%, 60 cases) and hepatobiliary and pancreatic surgery department (4.3%, 38 cases) had the highest proportion of pathogenic bacteria. Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Pseudomonas aeruginosa, coagulase-negative Staphylococcus, Viridans group streptococci and Candida albicans were the most frequently isolated pathogens. The detection rates of carbapenem-resistant Klebsiella pneumoniae, carbapenem-resistant Pseudomonas aeruginosa and carbapenem-resistant Acinetobacter baumannii were 3.4%, 15.2% and 36.4% respectively. The carbapenem-resistant Escherichia coli was not checked out. The detection rates of methicillin resistant Staphylococcus aureus and methicillin resistant coagulase negative Staphylococcus were 18.5% and 79.1% respectively. Conclusions Gram-negative bacteria are the most common pathogens of BSI, and inpatients are the main source of BSI. Age, underlying diseases and primary infection are the risk factors of BSI. Clinical laboratories should strengthen the etiological monitoring of high-risk patients with BSI, and the resistance analysis of common antibiotics can provide a basis for the rational use of antibiotics in clinical practice.
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@#From late December 2019, an outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) occurred in Wuhan, China and has spread globally resulting in a pandemic. Brunei Darussalam reported its first case of COVID-19 on 9 March 2020. Several measures were implemented to prevent a national outbreak. We report our experience with surveillance of patients requiring admission in all government hospitals. We detected one positive case, and through contact tracing two further cases were detected. Therefore, without this screening programme, these cases would likely have been missed, leading to further nosocomial and community spread.
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@#Objective: Bacterial co-infections in cases of coronavirus disease 2019 (COVID-19) can lead to less favourable outcomes. The aim of this study was to determine the prevalence of primary bacterial co-infections among patients with COVID-19 in Brunei Darussalam. Methods: Seventy-one of 180 patients admitted to the National Isolation Centre between 9 March 2020 and 4 February 2021 were screened for primary bacterial co-infection (infection occurring <48 h from admission). We compared patients with a primary bacterial co-infection to those without. Results: Of the 71 screened patients, 8 (11.2%) had a primary bacterial co-infection (sputum 37.5% [6/16], blood 2.8% [1/36], urine 1.7% [1/60]), for a period prevalence rate of 4.4% (respiratory tract infection 3.3% [6/180], bloodstream 0.6% [1/180], urine 0.6% [1/180]) among all COVID-19 patients. Older age, presence of comorbidity, symptoms at admission (fever, dyspnoea, nausea/vomiting), abnormal chest X-ray (CXR) and more severe COVID-19 (P < 0.05) were associated with primary bacterial co-infection. Primary bacterial co-infection was also associated with development of secondary infection and death (all P < 0.05). Only one patient with primary bacterial co-infection died (methicillin-sensitive Staphylococcus aureus septicaemia and multiorgan failure). Conclusions: Our study showed that primary bacterial co-infection affected 4.4% of patients with COVID-19 in Brunei Darussalam. Older age, presence of comorbidity, symptoms and abnormal CXR at admission and more severe disease were associated with a primary bacterial co-infection. Lower respiratory tract infection was the most common co-infection.
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@#Problem: The novel coronavirus disease 2019 (COVID-19) pandemic adversely affected the preparation of Malaysia’s National Health and Morbidity Survey for 2020 because conducting it would expose data collectors and participants to an increased risk of infection. Context: The survey is nationally representative and community based and is conducted by the Institute for Public Health, part of the National Institutes of Health, to generate health-related evidence and to support the Malaysian Ministry of Health in policymaking. Its planned scope for 2020 was the seroprevalence of communicable diseases such as hepatitis B and C. Action: Additional components were added to the survey to increase its usefulness, including COVID-19 seroprevalence and facial anthropometric studies to ensure respirator fit. The survey’s scale was reduced, and data collection was changed from including only face-to-face interviews to mainly self-administered and telephone interviews. The transmission risk to participants was reduced by screening data collectors before the survey and fortnightly thereafter, using standard droplet and contact precautions, ensuring proper training and monitoring of data collectors, and implementing other administrative infection prevention measures. Outcome: Data were collected from 7 August to 11 October 2020, with 5957 participants recruited. Only 4 out of 12 components of the survey were conducted via face-to-face interview. No COVID-19 cases were reported among data collectors and participants. All participants were given their hepatitis and COVID-19 laboratory test results; 73 participants with hepatitis B and 14 with hepatitis C who had been previously undiagnosed were referred for further case management. Discussion: Preparing and conducting the National Health and Morbidity Survey during the COVID-19 pandemic required careful consideration of the risks and benefits, multiple infection prevention measures, strong leadership and strong stakeholder support to ensure there were no adverse events.
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Objective:To investigate the effects of Hydroxychloroquine on cell apoptosis in peripheral blood mononuclear cells of systemic lupus erythematosus and its mechanisms.Methods:The peripheral blood mononuclear cells of 30 active SLE patients and 15 healthy persons were separated for cell culture.There were four groups:control group,SLE group and HCQ 5 mg/L and HCQ 25 mg/L group.MTT was used to measure the inhibitory effect.Annexin V/PI flow cytometry was performed to analyze cell apoptosis.Western blot was used to evaluate the expressions of PI3 K,pAKt,mTOR,BCL-2,BAX and caspase-3.Besides,the PBMCs of SLE patients were treated with HCQ 25 mg/L and the PI3K/Akt pathway inhibitor LY294002 20 μmol/L and its cell growth inhibition and apoptosis were observed.Results:Compared with the control group,the cell growth inhibition and apoptosis rate of SLE patients group were significantly increased(P＜0.05);while the cell growth inhibition and apoptosis rate of HCQ 5 mg/L and 25 mg/L were increased significantly than the SLE patients group(P＜0.05).Compared with SLE patients group,the expression levels of PI3K,pAKt,mTOR and BCL-2 of HCQ group were significantly increased while the expression of BAX and caspase-3 decreased significantly (P＜ 0.05).The PI3K/Akt pathway inhibitor LY294002 could block the PBMCs apoptosis of SLE patients.Conclusion:Hydroxychloroquine can promote the PBMCs apoptosis of SLE patients by PI3K/Akt signaling pathways.