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1.
J Infect Prev ; 21(5): 189-195, 2020 Sep.
Article in English | MEDLINE | ID: mdl-33193821

ABSTRACT

BACKGROUND: From September 2014, a tertiary care hospital in Karachi, Pakistan, started diagnosing 3-5 cases/month of a yeast locally identified as Saccharomyces spp. resistant to fluconazole. US Centers for Disease Control and Prevention identified the isolates as Candida auris. The Pakistan Field Epidemiology and Laboratory Training Program (FELTP) and the hospital investigated the outbreak from April 2015 to January 2016. OBJECTIVE: The aim of the outbreak investigation was to determine the risk factors and to inform measures to limit the spread of the organism in the hospital. METHODS: Medical records, nursing schedules and infection control practices were reviewed. Sixty-two age- and sex-matched hospital controls from the same wards were identified. RESULTS: Thirty cases (17 males) were identified (mean age = 51.6 years, age range = 2-91 years), case fatality was 53%. Multivariate logistic regression showed that a history of surgery within 90 days of diagnosis, admission to the emergency department and history of chronic kidney disease were significantly associated with C. auris infection. DISCUSSION: This is the report of the outbreak investigation that triggered a global exploration of C. auris as a newly identified multidrug-resistant nosocomial organism, spreading within the hospital, especially among patients with invasive procedures. Unfortunately, we could not identify any specific source of the outbreak nor stop the transmission of the organism.

2.
Clin Infect Dis ; 64(2): 134-140, 2017 Jan 15.
Article in English | MEDLINE | ID: mdl-27988485

ABSTRACT

BACKGROUND: Candida auris, a multidrug-resistant yeast that causes invasive infections, was first described in 2009 in Japan and has since been reported from several countries. METHODS: To understand the global emergence and epidemiology of C. auris, we obtained isolates from 54 patients with C. auris infection from Pakistan, India, South Africa, and Venezuela during 2012-2015 and the type specimen from Japan. Patient information was available for 41 of the isolates. We conducted antifungal susceptibility testing and whole-genome sequencing (WGS). RESULTS: Available clinical information revealed that 41% of patients had diabetes mellitus, 51% had undergone recent surgery, 73% had a central venous catheter, and 41% were receiving systemic antifungal therapy when C. auris was isolated. The median time from admission to infection was 19 days (interquartile range, 9-36 days), 61% of patients had bloodstream infection, and 59% died. Using stringent break points, 93% of isolates were resistant to fluconazole, 35% to amphotericin B, and 7% to echinocandins; 41% were resistant to 2 antifungal classes and 4% were resistant to 3 classes. WGS demonstrated that isolates were grouped into unique clades by geographic region. Clades were separated by thousands of single-nucleotide polymorphisms, but within each clade isolates were clonal. Different mutations in ERG11 were associated with azole resistance in each geographic clade. CONCLUSIONS: C. auris is an emerging healthcare-associated pathogen associated with high mortality. Treatment options are limited, due to antifungal resistance. WGS analysis suggests nearly simultaneous, and recent, independent emergence of different clonal populations on 3 continents. Risk factors and transmission mechanisms need to be elucidated to guide control measures.


Subject(s)
Antifungal Agents/pharmacology , Candida/drug effects , Candida/genetics , Candidiasis/epidemiology , Candidiasis/microbiology , Drug Resistance, Fungal , Drug Resistance, Multiple , Adolescent , Adult , Aged , Candida/classification , Candida/isolation & purification , Candidemia/epidemiology , Candidemia/microbiology , Candidiasis/etiology , Child , Child, Preschool , Cytochrome P-450 Enzyme System/genetics , DNA, Ribosomal Spacer , Female , Genome, Fungal , Global Health , Humans , Infant , Infant, Newborn , Male , Microbial Sensitivity Tests , Middle Aged , Mutation , Phylogeny , Polymorphism, Single Nucleotide , RNA, Ribosomal, 28S/genetics , Whole Genome Sequencing , Young Adult
3.
Lancet ; 386(10009): 2145-91, 2015 Nov 28.
Article in English | MEDLINE | ID: mdl-26321261

ABSTRACT

BACKGROUND: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. METHODS: We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. FINDINGS: Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. INTERPRETATION: Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition--in which increasing sociodemographic status brings structured change in disease burden--is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. FUNDING: Bill & Melinda Gates Foundation.


Subject(s)
Chronic Disease/epidemiology , Communicable Diseases/epidemiology , Global Health/statistics & numerical data , Health Transition , Life Expectancy , Wounds and Injuries/epidemiology , Aged , Female , Humans , Male , Middle Aged , Mortality, Premature , Quality-Adjusted Life Years , Socioeconomic Factors
5.
Lancet ; 384(9947): 980-1004, 2014 Sep 13.
Article in English | MEDLINE | ID: mdl-24797575

ABSTRACT

BACKGROUND: The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100,000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery. METHODS: We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basis of a systematic review of the relative risk of dying during pregnancy for HIV-positive women compared with HIV-negative women. We also estimated the fraction of these deaths aggravated by pregnancy on the basis of a systematic review. To estimate the numbers of maternal deaths due to nine different causes, we identified 61 sources from a systematic review and 943 site-years of vital registration data. We also did a systematic review of reports about the timing of maternal death, identifying 142 sources to use in our analysis. We developed estimates for each country for 1990-2013 using Bayesian meta-regression. We estimated 95% uncertainty intervals (UIs) for all values. FINDINGS: 292,982 (95% UI 261,017-327,792) maternal deaths occurred in 2013, compared with 376,034 (343,483-407,574) in 1990. The global annual rate of change in the MMR was -0·3% (-1·1 to 0·6) from 1990 to 2003, and -2·7% (-3·9 to -1·5) from 2003 to 2013, with evidence of continued acceleration. MMRs reduced consistently in south, east, and southeast Asia between 1990 and 2013, but maternal deaths increased in much of sub-Saharan Africa during the 1990s. 2070 (1290-2866) maternal deaths were related to HIV in 2013, 0·4% (0·2-0·6) of the global total. MMR was highest in the oldest age groups in both 1990 and 2013. In 2013, most deaths occurred intrapartum or postpartum. Causes varied by region and between 1990 and 2013. We recorded substantial variation in the MMR by country in 2013, from 956·8 (685·1-1262·8) in South Sudan to 2·4 (1·6-3·6) in Iceland. INTERPRETATION: Global rates of change suggest that only 16 countries will achieve the MDG 5 target by 2015. Accelerated reductions since the Millennium Declaration in 2000 coincide with increased development assistance for maternal, newborn, and child health. Setting of targets and associated interventions for after 2015 will need careful consideration of regions that are making slow progress, such as west and central Africa. FUNDING: Bill & Melinda Gates Foundation.


Subject(s)
Global Health/trends , Maternal Mortality/trends , Age Distribution , Cause of Death/trends , Female , Global Health/statistics & numerical data , HIV Infections/mortality , Humans , Models, Statistical , Organizational Objectives , Pregnancy , Pregnancy Complications, Infectious/mortality , Risk Factors , Socioeconomic Factors , Time Factors
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