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1.
Antimicrob Resist Infect Control ; 12(1): 11, 2023 02 13.
Artigo em Inglês | MEDLINE | ID: mdl-36782267

RESUMO

BACKGROUND: The core components (CCs) of infection prevention and control (IPC) from World Health Organization (WHO) are crucial for the safety and quality of health care. Our objective was to examine the level of implementation of WHO infection prevention and control core components (IPC CC) in a developing country. We also aimed to evaluate health care-associated infections (HAIs) and antimicrobial resistance (AMR) in intensive care units (ICUs) in association with implemented IPC CCs. METHODS: Members of the Turkish Infectious Diseases and Clinical Microbiology Specialization Association (EKMUD) were invited to the study via e-mail. Volunteer members of any healt care facilities (HCFs) participated in the study. The investigating doctor of each HCF filled out a questionnaire to collect data on IPC implementations, including the Infection Prevention and Control Assessment Framework (IPCAF) and HAIs/AMR in ICUs in 2021. RESULTS: A total of 68 HCFs from seven regions in Türkiye and the Turkish Republic of Northern Cyprus participated while 85% of these were tertiary care hospitals. Fifty (73.5%) HCFs had advanced IPC level, whereas 16 (23.5%) of the 68 hospitals had intermediate IPC levels. The hospitals' median (IQR) IPCAF score was 668.8 (125.0) points. Workload, staffing and occupancy (CC7; median 70 points) and multimodal strategies (CC5; median 75 points) had the lowest scores. The limited number of nurses were the most important problems. Hospitals with a bed capacity of > 1000 beds had higher rates of HAIs. Certified IPC specialists, frequent feedback, and enough nurses reduced HAIs. The most common HAIs were central line-associated blood stream infections. Most HAIs were caused by gram negative bacteria, which have a high AMR. CONCLUSIONS: Most HCFs had an advanced level of IPC implementation, for which staffing was an important driver. To further improve care quality and ensure everyone has access to safe care, it is a key element to have enough staff, the availability of certified IPC specialists, and frequent feedback. Although there is a significant decrease in HAI rates compared to previous years, HAI rates are still high and AMR is an important problem. Increasing nurses and reducing workload can prevent HAIs and AMR. Nationwide "Antibiotic Stewardship Programme" should be initiated.


Assuntos
Infecção Hospitalar , Controle de Infecções , Humanos , Controle de Infecções/métodos , Infecção Hospitalar/prevenção & controle , Infecção Hospitalar/microbiologia , Organização Mundial da Saúde , Inquéritos e Questionários , Atenção à Saúde
2.
Eur J Clin Microbiol Infect Dis ; 42(4): 387-398, 2023 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-36790531

RESUMO

Fever of unknown origin (FUO) is a serious challenge for physicians. The aim of the present study was to consider epidemiology and dynamics of FUO in countries with different economic development. The data of FUO patients hospitalized/followed between 1st July 2016 and 1st July 2021 were collected retrospectively and submitted from referral centers in 21 countries through ID-IRI clinical research platform. The countries were categorized into developing (low-income (LI) and lower middle-income (LMI) economies) and developed countries (upper middle-income (UMI) and high-income (HI) economies). This research included 788 patients. FUO diagnoses were as follows: infections (51.6%; n = 407), neoplasms (11.4%, n = 90), collagen vascular disorders (9.3%, n = 73), undiagnosed (20.1%, n = 158), miscellaneous diseases (7.7%, n = 60). The most common infections were tuberculosis (n = 45, 5.7%), brucellosis (n = 39, 4.9%), rickettsiosis (n = 23, 2.9%), HIV infection (n = 20, 2.5%), and typhoid fever (n = 13, 1.6%). Cardiovascular infections (n = 56, 7.1%) were the most common infectious syndromes. Only collagen vascular disorders were reported significantly more from developed countries (RR = 2.00, 95% CI: 1.19-3.38). FUO had similar characteristics in LI/LMI and UMI/HI countries including the portion of undiagnosed cases (OR, 95% CI; 0.87 (0.65-1.15)), death attributed to FUO (RR = 0.87, 95% CI: 0.65-1.15, p-value = 0.3355), and the mean duration until diagnosis (p = 0.9663). Various aspects of FUO cannot be determined by the economic development solely. Other development indices can be considered in future analyses. Physicians in different countries should be equally prepared for FUO patients.


Assuntos
Doenças Transmissíveis , Febre de Causa Desconhecida , Infecções por HIV , Humanos , Febre de Causa Desconhecida/epidemiologia , Febre de Causa Desconhecida/etiologia , Febre de Causa Desconhecida/diagnóstico , Estudos Retrospectivos , Doenças Transmissíveis/diagnóstico , Doenças Transmissíveis/epidemiologia , Colágeno
3.
BMJ Open ; 12(1): e056858, 2022 01 17.
Artigo em Inglês | MEDLINE | ID: mdl-35039302

RESUMO

OBJECTIVES: Healthcare workers (HCWs) are among the risk groups for COVID-19. Determining transmission routes and risk levels during healthcare is of great importance in preventing nosocomial outbreaks. This study aimed to investigate the frequency of nosocomial transmission and factors affecting the transmission in HCW. METHODS: HCWs admitted to the infectious diseases outpatient clinic due to contact with a COVID-19 patient and diagnosed with SARS-COV-2 by reverse-transcriptase PCR (RT-PCR) between 20 March 2020 and 30 June 2020 were included in the study. RESULTS: A total of 822 HCWs with 295 low, 284 intermediate and 243 high-risk exposures were included in the study. 27.1% of the HCWs were male, and the median age was 31.9 years (20-62). 89.5% of these patients were directly in charge of patient care. Of the index cases contacted, 72.6% were HCW, and 27.4% were non-HCW patients. Most of the risky exposure (51.7%) occurred in nurses. The occurrence frequency of high-risk exposure was lower in those assigned to direct patient care when compared with the occurrence frequency of moderate-risk or low-risk exposures (76.5%, 94.7, 95.3, respectively p<0.001). In most high-risk exposures (220/253), the index cases were HCWs (p<0.001). Symptoms were detected in 311 of the HCWs (37.8%) during the follow-up. The median time to perform SARS-CoV-2 RT-PCR was 5.3 days (IQR) after the last risky exposure. In multivariate analysis, SARS-CoV-2 RT-PCR positivity was 5.65 times higher in HCWs not directly involved in patient care than HCWs who are not involved in patient care (95% CI 2.437 to 13.111; p<0.001). CONCLUSIONS: This study provides particularly useful information on post-exposure COVID-19 follow-up and management of working schedules and procedures of HCWs.


Assuntos
COVID-19 , Infecção Hospitalar , Adulto , Infecção Hospitalar/epidemiologia , Pessoal de Saúde , Humanos , Masculino , Estudos Prospectivos , Medição de Risco , SARS-CoV-2
4.
PLoS One ; 13(9): e0204608, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-30256855

RESUMO

Sepsis is a severe clinical syndrome owing to its high mortality. Quick Sequential Organ Failure Assessment (qSOFA) score has been proposed for the prediction of fatal outcomes in sepsis syndrome in emergency departments. Due to the low predictive performance of the qSOFA score, we propose a modification to the score by adding age. We conducted a multicenter, retrospective cohort study among regional referral centers from various regions of the country. Participants recruited data of patients admitted to emergency departments and obtained a diagnosis of sepsis syndrome. Crude in-hospital mortality was the primary endpoint. A generalized mixed-effects model with random intercepts produced estimates for adverse outcomes. Model-based recursive partitioning demonstrated the effects and thresholds of significant covariates. Scores were internally validated. The H measure compared performances of scores. A total of 580 patients from 22 centers were included for further analysis. Stages of sepsis, age, time to antibiotics, and administration of carbapenem for empirical treatment were entered the final model. Among these, severe sepsis (OR, 4.40; CIs, 2.35-8.21), septic shock (OR, 8.78; CIs, 4.37-17.66), age (OR, 1.03; CIs, 1.02-1.05) and time to antibiotics (OR, 1.05; CIs, 1.01-1.10) were significantly associated with fatal outcomes. A decision tree demonstrated the thresholds for age. We modified the quick Sequential Organ Failure Assessment (mod-qSOFA) score by adding age (> 50 years old = one point) and compared this to the conventional score. H-measures for qSOFA and mod-qSOFA were found to be 0.11 and 0.14, respectively, whereas AUCs of both scores were 0.64. We propose the use of the modified qSOFA score for early risk assessment among sepsis patients for improved triage and management of this fatal syndrome.


Assuntos
Escores de Disfunção Orgânica , Síndrome de Resposta Inflamatória Sistêmica/mortalidade , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Árvores de Decisões , Serviços Médicos de Emergência , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Medição de Risco/métodos , Medição de Risco/estatística & dados numéricos , Síndrome de Resposta Inflamatória Sistêmica/diagnóstico , Síndrome de Resposta Inflamatória Sistêmica/terapia , Turquia/epidemiologia
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