Risk Factors For Healthcare-associated Infections Research Articles

Risk factors for healthcare-associated infections and their relationship with waves of the COVID-19 pandemic in an intensive care unit: a nested case-control study

Risk factors for healthcare-associated infections and their relationship with waves of the COVID-19 pandemic in an intensive care unit: a nested case-control study

Risk factors for healthcare-associated infection among patients hospitalized with COVID-19 infection.

Risk factors for healthcare-associated infection among patients hospitalized with COVID-19 infection.

Impact of age on antimicrobial prescriptions in hospitalized children at three academic centres in South Africa: a point prevalence survey.

Antimicrobial resistance is a global threat in children, and the emergence of multi-drug-resistant organisms is of concern. This secondary analysis of an antimicrobial point prevalence survey (PPS) in children evaluates the impact of age on antimicrobial use. The mean antimicrobial prescriptions were assessed in neonates, infants, young children (1-5 years), school-going children (6-12 years), and adolescents (13-15 years) from a cross-sectional PPS at three academic hospitals between September 2021 and January 2022. Primary and secondary diagnoses, antibiotic type (World Health Organization AWaRe and Anatomical Therapeutic Chemical classifications), and the incidence of healthcare-associated infections (HAI) were evaluated per age category. Multiple regression models were used to analyse age-related risk factors for HAI. The number of antimicrobials per child (1.7-1.9 per patient) was higher in neonates and infants compared to children 6-12 years old (1.4 per patient). Watch antibiotics, especially carbapenems, were commonly prescribed in neonates (32.5%) and infants (42.2%). Reserve antimicrobial use was notable in neonates (4.7%) and infants (4.1%). The incidence risk ratio (IRR) of HAI was higher in neonates and infants (IRR 2.13; 95% CI 1.23-3.70, IRR 2.20; 95% CI 1.40-3.45, respectively) compared to 6- to 12-year-olds. On multivariate analysis of participants according to age, being HIV infected, length of stay >6 days, high McCabe severity score, having surgery and receipt of blood transfusion were associated with an increased risk of HAI (P < .001 for all) while on univariate analysis only, being premature and/or underweight was associated with an increased risk of HAI in infants (P < .001 for both). Infants with risk factors for HAI significantly influenced antimicrobial prescribing, underscoring the necessity for tailored antimicrobial stewardship and enhanced surveillance. The increased use of Watch antibiotics, particularly carbapenems, in infants warrants closer scrutiny. Further research is required to identify inappropriate antimicrobial use in high-risk hospitalized young children.

A Nomogram of Predicting Healthcare-Associated Infections in Burned Children.

Healthcare-associated infections (HAIs) are a common clinical concern associated with adverse prognosis and mortality in burned children. This study aimed to construct a predictive nomogram of the risk of HAIs in burned children. Children admitted to the burn unit of Wuhan Third Hospital between 2020 and 2022 were included. The univariate and multivariate logistic regression analyses were adopted to ascertain predictors of HAIs. A nomogram was developed to predict the HAI risk of each patient, with receiver operating characteristic curves and calibration curves being generated to assess its predictive ability. Furthermore, decision and impact curves were used to assess the clinical utility. Of 1122 burned children, 61 (5.5%) patients experienced HAIs. The multivariate analysis indicated that total burn surface area, length of stay, surgery, central venous catheter use and urinary catheter use were the independent risk factors of HAIs. Using these variables, we developed a predictive nomogram of the occurrence of HAIs in burned children, and the internal validation results demonstrated good discrimination and calibration of the nomogram. The area under the curve values of the nomogram was 0.926 (95% CI, 0.896-0.957). The calibration curve showed high consistency between the actual and predicted HAIs. The decision and impact curve indicated that the nomogram was of good clinical utility and more credible net clinical benefits in predicting HAIs. The present study constructed a nomogram for predicting the risk of HAIs in burned children. This nomogram may strengthen the effective screening of patients at high risk of HAIs.

Prevalence and risk factors of healthcare-associated infections in children hospitalized in an ICU at a teaching hospital

Introduction: Healthcare-Associated Infections (HAIs) are a public health problem, and their severity increases significantly when affecting pediatric patients in the Intensive Care Unit (ICU). Objectives: To identify the main bacteria and risk factors in a pediatric ICU. Methodology: Retrospective observational cross-sectional study conducted on children admitted to the ICU of a Teaching Hospital in the city of Cascavel-PR, from January 2015 to April 2024. Results: The majority of patients were male (58.5%), and the isolated microorganisms primarily affected the respiratory tract. Of the 65 children with HAIs in the ICU, 3 (4.62%) were diagnosed with Sars-Cov-2 and 5 (7.69%) died. Among the 41 bacterial species isolated, the most prevalent were Pseudomonas aeruginosa (8; 12.3%), Klebsiella pneumoniae (6; 9.2%), and Staphylococcus aureus/Staphylococcus epidermidis/Staphylococcus haemolyticus (4; 6.2%), respectively. Conclusion: The specific microbiological profile of the pediatric ICU allows for the empirical selection of antimicrobials, improving therapeutic effects and reducing the emergence of multidrug-resistant microorganisms. This knowledge contributes to the well-being of pediatric patients, meeting the objective of identifying the main bacteria and risk factors.

Risk factors for healthcare-associated infections: a single-centre study in a university hospital

Risk factors for healthcare-associated infections: a single-centre study in a university hospital

Financial and economic costs of healthcare-associated infections in Africa

Healthcare associated infections (HAI) remain a global health challenge and have elevated rates in Sub-Saharan Africa. HAIs impact patients and their families by causing illness, prolonged hospital stay, potential disability, excess costs and sometimes death. The costs of HAI are increasing due to spreading antimicrobial resistance. A major risk factor for HAIs is lack of water, sanitation, and hygiene (WASH), environmental cleaning and healthcare waste management. In Sub-Saharan Africa these services are lacking in at least 50% of healthcare facilities. This study estimated the costs associated with HAIs at national level in fourteen countries in Sub-Saharan Africa. Economic methodologies were employed to estimate the medical costs, productivity losses and value of premature death from HAIs, drawing on national statistics and published studies to populate the economic model. In 2022, the number of HAIs was estimated at 4.8 million, resulting in 500,000 deaths. Health-related economic losses amounted to US$13 billion per year, equivalent to 1.14% of combined GDP and US$15.7 per capita. Healthcare costs were US$500 per HAI and represented 5.6% of total health expenditure. The costs of providing basic WASH were US$0.91 per capita, which, if they reduced HAIs by 50%, resulted in benefit-cost ratios of 1.6 (financial health care savings only) and 8.6 (including all economic benefits). HAIs have a major health and economic burden on African societies, and a significant share can be prevented. It is critical that health policy makers and practitioners dedicate policy space, resources, and training to address HAIs.

Retrospective analysis of pathogens for guided creation of an EMPIRIc antibiotic prEscribing pathway (EMPIRE).

The objective of this study was to evaluate the susceptibilities of pathogens isolated from cultures within the first 7 days of admission to the burn center and in the absence of healthcare-associated infection risk factors (HAIRF) to determine if current empiric antibiotics can be narrowed for refinement of an empiric antibiotic prescribing pathway according to the suspected source. A 3-year sample of patients and cultures was utilized in hopes of obtaining at least 30 isolates of the most common pathogens and their respective susceptibilities. A total of 268 clinically relevant (e.g., deemed infectious, versus colonization) pathogens were included in the final sample with sources including wounds, respiratory, blood, urine, and bone. Of the 268 pathogens included, 45% were Gram-negative and 69% of all pathogens were isolated from wound cultures. The existing empiric pathway, vancomycin plus cefepime, covered 98% and 84% of all Gram-positive and Gram-negative pathogens, respectively. In patients without HAIRF, coverage rose to 98% and 90%, respectively. Initial use of vancomycin and cefepime remains adequate for pathogens isolated within 1 week of admission in patients without HAIRF. For pneumonias, a narrower spectrum beta-lactam would not sufficiently cover respiratory pathogens isolated within the first week of admission. Regarding early wound infections, difficult-to-treat pathogens remain as a rare isolate of wound cultures within 1 week of admission.

Policy brief: Optimising antimicrobial usage in paediatric inpatient hospital settings.

Antimicrobial resistance (AMR) poses a global threat, partly fueled by antimicrobial overuse. Paediatric inpatients are particularly vulnerable to infections, leading to high antimicrobial consumption. In low-to-middle income countries (LMICs) like South Africa, research on antimicrobial usage for neonatal and paediatric healthcare-associated infections (HAI) is limited. This cross-sectional study evaluated antimicrobial usage in three academic public sector hospitals in South Africa to improve appropriateness. 22.9% of hospitalised children received at least one prescribed antimicrobial, with neonates, infants, and adolescents having higher prescription rates for HAIs. Common antimicrobials prescribed included beta-lactamase sensitive penicillin, aminoglycosides, and carbapenems. Antimicrobial selection aligned with the WHO AWaRe classification system. HIV infection did not emerge as a risk factor for HAIs or excessive antimicrobial usage. The policy brief recommends several strategies, summarized by the acronym 'PRACTICE,' to optimize antimicrobial prescribing practices. These include implementing standardized policies for empiric antimicrobial use, routine review of antimicrobial therapy, age-specific antimicrobial stewardship programs, and continued collaborative efforts and research. Individualized treatment plans, improved infection prevention and control measures, ongoing surveillance, and exploring electronic technology for antimicrobial stewardship are also crucial. Addressing antimicrobial usage is imperative to combat the growing threat of AMR and improve patient outcomes in LMICs like South Africa.

Health care-associated infections after surgical treatment of ruptured intracranial aneurysms

BackgroundAneurysmal subarachnoid hemorrhage (SAH) is catastrophic, and microsurgery for ruptured intracranial aneurysms is one of the preventive modalities for rebleeding. However, patients remain at high risk of medical morbidities after surgery, one of the most important of which is health care-associated infections (HAIs). We analyzed the incidence and risk factors of HAIs, as well as their association with the outcomes after surgical treatment of ruptured aneurysms. MethodsWe retrospectively enrolled 607 patients with SAH who had undergone surgery for intracranial aneurysms. Information was retrieved from the database using codes of the International Classification of Diseases, Ninth Revision, Clinical Modification. ResultsOf the 607 patients, 203 were male and 404 were female. HAIs occurred in 113 patients, accounting for 18.6 % of the population. The independent risk factors for HAIs included age ((p = 0.035), hypertension ((p = 0.042), convulsion ((p = 0.023), external ventricular drain ((p = 0.035), ventricular shunt ((p = 0.033), and blood transfusion ((p = 0.001). The mean length of hospital stay was 25.3 ± 18.2 and 18.8 ± 15.3 days for patients with and without HAIs, respectively ((p = 0.001). The in-hospital mortality rates were 11.5 % in the HAIs group, and 14.0 % in the non-HAIs group ((p = 0.490). ConclusionHAIs are a frequent complication in patients with SAH who underwent surgery for ruptured intracranial aneurysms. The length of hospital stay is remarkably longer for patients with HAIs, and to recognize and reduce the modifiable risks should be implemented to improve the quality of patient care.

Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review.

Healthcare-associated infections (HAIs) are the most common adverse events in healthcare and constitute a major global public health concern. Surveillance represents the foundation for the effective prevention and control of HAIs, yet conventional surveillance is costly and labor intensive. Artificial intelligence (AI) and machine learning (ML) have the potential to support the development of HAI surveillance algorithms for the understanding of HAI risk factors, the improvement of patient risk stratification as well as the prediction and timely detection and prevention of infections. AI-supported systems have so far been explored for clinical laboratory testing and imaging diagnosis, antimicrobial resistance profiling, antibiotic discovery and prediction-based clinical decision support tools in terms of HAIs. This review aims to provide a comprehensive summary of the current literature on AI applications in the field of HAIs and discuss the future potentials of this emerging technology in infection practice. Following the PRISMA guidelines, this study examined the articles in databases including PubMed and Scopus until November 2023, which were screened based on the inclusion and exclusion criteria, resulting in 162 included articles. By elucidating the advancements in the field, we aim to highlight the potential applications of AI in the field, report related issues and shortcomings and discuss the future directions.

Healthcare-Associated Infections' Characteristics Among Burn Patients and Risk Factors of Mortality: A Study Based on Data From a Tertiary Center in Iran: Nosocomial Infections Among Burn Patients.

Background: Burn patients are more likely to get healthcare-associated infections (HAIs). The current study aimed to investigate the characteristics of HAI and mortality risk factors among burn patients admitted to a tertiary center in Iran. Methods: A retrospective study was conducted in 2021 on burn patients who developed HAI after hospitalization in a tertiary center in Ahvaz, Iran. The records of patients admitted and managed between March 2019 and March 2020 were reviewed. Statistical analysis was carried out using IBM SPSS Version 26, with p < 0.05 considered statistically significant. Results: Of the 1,659 admitted patients, 395 (23.8%) developed HAI during the study period. After excluding patients with incomplete medical records and those with fungal or viral infections, 363 patients remained. The majority of these cases occurred in male patients. The most common type of HAI was burn wound infection (56.2%). Patients were mainly affected by Gram-negative bacteria, Pseudomonas aeruginosa (39.7%), while the most common Gram-positive bacteria was Staphylococcus epidermididis (9.6%). The most common antibiotic resistance among P. aeruginosa-infected patients was reported against imipenem, followed by gentamicin and ciprofloxacin; however, the mentioned organism was mainly sensitive to colistin. Gender, age, bloodstream infection (BSI), ventilator-associated infection (VAI), ICU admission, and total burned surface area (TBSA) resulted in 3.585, 1.028, 2.222, 7.469, 5.278-, and 1.031 times higher mortality rates, respectively. Conclusion: Female gender, advanced age, BSI, VAI, and ICU admission are risk factors for HAI. These findings emphasize the need for focused infection prevention and management to improve high-risk burn patient survival.

Healthcare-associated infections in postoperative patients with intracranial aneurysm in Ukraine.

Aim: to investigate the epidemiology, microbiology, and risk factors for healthcare-associated infections (HAIs) in postoperative patients with intracranial aneurysm in Ukraine. Materials and Methods: Retrospective cohort study was conducted from January 2018 to December 2022 in four tertiary care hospitals of Ukraine. The diagnostic criteria were based on specific HAI site were adapted from the CDC/NHSN case definitions. Results: Of 1,084 postoperative patients with intracranial aneurysm, 128 (11.4%) HAIs were observed. The most common of HAI type was possible ventilatorassociated pneumonia (38.2%) followed by central line-associated bloodstream infections (33.8%), catheter -associated urinary tract infection (18.5%), and surgical site infection (9.6%). Inpatient mortality from HAI was 5.1%. Emergency admission, mechanical ventilation, taking antiplatelet aggregation drugs, albumin reduction, hyperglycaemia, hyponatremia, surgical procedure, operation time > 4 h, mechanical ventilation, urinary catheter, and central venous catheterization were risk factors associated with HAI in patients with intracranial aneurysm surgery. A total of 26% cases of HAIs by MDROs were notified over the study period. Klebsiella spp. - essentially K. pneumoniae - were the most frequent, followed by Enterobacter spp. and Escherichia coli. Carbapenemase production in Enterobacterales constituted the most frequent mechanism of resistance, while ESBL-production in Enterobacterales and meticillin-resistance in Staphylococcus aureus (MRSA) were detected in 65,7% 62,3% and 20% of cases, respectively. Conclusions: The present study showed that HAIs is a common complication in postoperative patients with intracranial aneurysm in Ukraine and multidrugresistant organisms the major pathogen causing infection.

Healthcare‑associated infections in intensive care unit patients with and without COVID-19: a single center prospective surveillance study

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic led to a global increase in healthcare-associated infections (HAI) among intensive care unit (ICU) patients. Whether this increase is directly attributable to COVID-19 or whether the pandemic indirectly (via staff shortages or breaches in infection prevention measures) led to this increase, remains unclear. The objectives of this study were to assess HAI incidence and to identify independent risk factors for HAI in COVID-19 and non-COVID-19 ICU patients.MethodsWe established a monocentric prospective HAI surveillance in the medical ICU of our tertiary care center from September 1st 2021 until August 31st 2022, during circulation of the SARS-CoV-2 delta and omicron variants. We consecutively included patients ≥ 18 years of age with an ICU length of stay of > 2 calendar days. HAI were defined according to the European Centre for Disease Prevention and Control definitions. HAI rate was calculated per 1,000 patient-days or device-days; risk ratios (RR) and corresponding 95% confidence intervals (CI) for COVID-19 versus non-COVID-19 patients were calculated. We used multivariable Cox regression to identify independent risk factors for HAI. As a proxy for institutional COVID-19 burden, weekly COVID-19 density (i.e. percentage of COVID-19 patients among all ICU patients) was included in the model as time-dependent co-variable.ResultsWe included 254 patients, 64 (25.1%) COVID-19 and 190 (74.9%) non-COVID-19 patients; 83 HAI in 72 patients were recorded, thereof 45 ventilator-associated lower respiratory tract infections (VA-LRTI) (54.2%) and 18 blood stream infections (BSI) (21.6%). HAI incidence rate was 49.1/1,000 patient-days in COVID-19 and 22.5/1,000 patient-days in non-COVID-19 patients (RR 2.2, 95%-CI 1.4–3.4). This result was mainly due to different VA-LRTI rates (40.3 vs. 11.7/1,000 ventilator days, p < 0.001), whereas BSI rates were not statistically different (9.4 vs. 5.6/1,000 patient days, p = 0.27). Multivariable analysis identified COVID-19 as main risk factor for HAI development, whereas age, mechanical ventilation and COVID-19 density were not significant.ConclusionsThese data from the fourth and fifth wave of the pandemic show a higher HAI incidence in COVID-19 than in non-COVID-19 ICU patients, mainly due to an increase in pulmonary infections. A diagnosis of COVID-19 was independently associated with HAI development, whereas institutional COVID-19 burden was not.

Pooled prevalence of lymphopenia in all-cause hospitalisations and association with infection: a systematic review and meta-analysis

BackgroundLymphopenia is defined as a decrease below normal value (often 1.0 x 109 cells/L) of blood circulating lymphocyte count. In the general population, lymphopenia is associated with an increased risk of hospitalisation secondary to infection, independent of traditional clinical risk factors. In hospital, lymphopenia is associated with increased risk of healthcare-associated infection and mortality. By summarising lymphopenia’s prevalence and impact on clinical outcomes, we can identify an at-risk population and inform future studies of immune dysfunction following severe illness.MethodsPeer-reviewed search strategy was performed on three databases. Primary objective was to summarise the pooled prevalence of lymphopenia. Primary outcome was infection including pre-existing lymphopenia as a risk factor for admission with infection and as an in-hospital risk factor for healthcare-associated infection. Secondary outcomes were length of stay and mortality. Mortality data extracted included in-hospital, 28/30-day (‘early’), and 90-day/1-year (‘late’) mortality. Meta-analysis was carried out using random-effects models for each outcome measure. Heterogeneity was assessed using I2 statistic. Joanna Briggs Institute checklist for cohort studies was used to assess risk of bias. The protocol was published on PROSPERO.ResultsFifteen observational studies were included. The pooled prevalence of lymphopenia in all-cause hospitalisations was 38% (CI 0.34-0.42, I2= 97%, p< 0.01). Lymphopenia was not associated with an infection diagnosis at hospital admission and healthcare associated infection (RR 1.03; 95% CI 0.26-3.99, p=0.97, I2 = 55% and RR 1.31; 95% CI 0.78-2.20, p=0.31, I2=97%, respectively), but was associated with septic shock (RR 2.72; 95% CI 1.02-7.21, p=0.04, I2 =98%). Lymphopenia was associated with higher in-hospital mortality and higher ‘early’ mortality rates (RR 2.44; 95% CI 1.71-3.47, p < 0.00001, I2 = 89% and RR 2.05; 95% CI 1.64-2.56, p < 0.00001, I2 = 29%, respectively). Lymphopenia was associated with higher ‘late’ mortality (RR 1.59; 1.33-1.90, p < 0.00001, I2 = 0%).ConclusionsThis meta-analysis demonstrates the high prevalence of lymphopenia across all-cause hospitalisations and associated increased risk of septic shock, early and late mortality. Lymphopenia is a readily available marker that may identify immune dysfunctional patients. Greater understanding of immune trajectories following survival may provide insights into longer-term poor clinical outcomes.

Healthcare infections and antimicrobial consumption in pre-COVID-19 era: a point prevalence survey in three hospitals in a region of Central Italy.

Healthcare-associated infections (HAIs) are a major global public health concern, increasing the transmission of drug-resistant infections. This point prevalence survey investigated HAIs occurrence and antimicrobial consumption (AMC) in pre-COVID-19 era in the public hospitals of a region of Central Italy. Data were collected using the protocol standardised by the European Centre for Disease Prevention and Control. Three-hundred and sixty-four patients were included (59.3% male) in the study. Overall, HAIs prevalence was 6.6% (95%CI 4.4-9.5), ranging from 5.2% to 7.1% within the surveyed hospitals, with at least one infection in 24 patients (ten each in medical and surgical specialties wards, and four in intensive care). Risk factors for HAIs were advanced age, having undergone surgery and wearing invasive devices. At time of the survey, 44.7% (95%CI 39.7-49.9) of patients was under treatment with at least one antibiotic, and AMC varied between 43% and 48% within hospitals. In all hospitals, a prevalence higher than 10% was found for the prescription reasons other than prophylaxis or therapy. The results revealed a HAIs prevalence lower than that estimated compared to the most recent national data, in contrast to higher antimicrobial usage. These findings highlight the need to reinforce hygiene practices and develop bundles for HAIs, as a broad implementation of infection prevention and control practices extensively applied to both hub and spoke hospitals could significantly reduce their occurrence, as well as to implement antimicrobial stewardship for prescriptive appropriateness.

Health Care–Associated Infection in Elderly Patients With Cerebrovascular Disease in Intensive Care Units: A Retrospective Cohort Study in Taizhou, China

Cerebrovascular diseases are associated with high incidence of health care-associated infections (HAIs) and poor prognosis in elderly patients. This study aimed to investigate the incidence and clinical characteristics of HAIs in elderly patients with cerebrovascular disease in the intensive care unit (ICU). Patients admitted with cerebrovascular disease, aged≥65 years, were included. The clinical data of the patients were retrospectively analyzed to determine the risk factors, infection type, distribution, and pathogenic characteristics of HAIs in the context of cerebrovascular diseases. Out of 381 ICU inpatients monitored, 79 (20.73%) developed HAIs. Risk analysis revealed number of ventilator days as significant risk factors for HAIs in elderly patients with cerebrovascular diseases in the comprehensive ICU. In the HAI group, 56 patients (70.89%) had respiratory tract infection (RTI). Sixty-five patients (82.28%) were infected with Gram-negative bacteria (GNB), and 42 (53.16%) with multi-drug-resistant organism (MDRO). The length of hospitalization days, ventilator days, and overall hospitalization costs were higher in the HAI group than in the non-HAI group (P < 0.05), but there was no significant difference between groups in the treatment outcome of patients. Patients with MDRO infection had longer duration and higher cost of hospitalization than those infected with non-MDRO (P < 0.05), but there was no significant difference between the groups in the treatment outcome of patients. HAIs occurred mostly due to RTI and GNB infection. The hospitalization cost and duration, as well as the length of ventilator days, were higher for cerebrovascular patients with HAIs than for non-HAIs patients.

Risk factors for healthcare-associated infections in intensive care units

Objetivo: Investigar os fatores de risco para infecções relacionadas à assistência entre pacientes internados em uma Unidade de Terapia Intensiva de uma capital do Norte do Brasil. Métodos: Estudo de coorte prospectiva, com 267 pacientes internados no período de 01 de outubro de 2017 a 30 de janeiro 2019. As informações foram coletadas de prontuário eletrônico, físico e padrão de acompanhamento dos pacientes. Investigaram-se informações demográficas sobre a internação e tratamento. Realizada regressão de Poisson para avaliação das variáveis com o desfecho. Resultados: A incidência de infecções foi de 10,49 casos por 100 pacientes, com a maior frequência para infecção de sítio cirúrgico. Na análise ajustada, internação por mais de cinco dias (RR: 6,98; IC95%: 1,42; 34,15), parada cardiorrespiratória (RR: 2,89; IC95%:1,05;7,96), ter ostomia (RR: 9,22; IC95%:1,47; 57,65) ou traqueostomia (RR: 10,23; IC95%: 1,56;67,22) foram associados às infecções relacionadas à assistência. Conclusão: A incidência de infecções encontrada foi superior às outras regiões brasileiras. Recomenda-se vigilância ativa, principalmente em pacientes com internação prolongada e ostomias, avaliação criteriosa da necessidade de dispositivos e uso de protocolos para adoção de boas práticas.

Risk factors for healthcare-associated infections in newborns after surgery in a neonatal intensive care unit.

Health care-associated infections (HAIs) are a common cause of morbidity and mortality. There is little information on the risk factors associated with HAI in surgical newborns. To identify the risk factors associated with healthcare-associated infections in surgical newborns. Nested case-control study carried out during 2016-2017. Cases were newborns with healthcare-associated infections and controls were newborns without infection. Perinatal characteristics, use of antimicrobial prophylaxis, use of central venous catheter (CVC), mechanical ventilation, parenteral nutrition, age, and weight at the time of surgery, type of surgery, surgical wound classification, duration of surgery, number of surgical procedures, postsurgical HAIs and type of infection were registered. Univariate and multivariate analyses were performed. Seventy-one cases and 142 controls were included. The most frequent HAI was bloodstream infection (36.6%); the main microorganisms isolated in blood cultures were gram-positive cocci. Independent risk factors associated with HAIs in the multivariate analysis were CVC duration > 8 days (aOR = 17.2, 95% CI = 3.8-49.1), ≥ 2 surgeries (aOR = 16.5, 95% CI 5.8 -42.1) and abdominal surgery (aOR = 2.6, 95% CI = 1.2-6.6). Newborns undergoing surgery, mainly those with risk factors, require close monitoring during the postoperative period. CVC should be withdrawn as soon as possible.

Age as a risk factor for surgical site infections: German surveillance data on total hip replacement and total knee replacement procedures 2009 to 2018.

BackgroundOlder age is frequently cited as a risk factor for healthcare-associated infections in general, and surgical site infections (SSIs) specifically.AimWe aimed to investigate the correlation between age and SSI occurrence.MethodsData on total hip replacement (THR) and total knee replacement (TKR) surgeries and resulting SSIs documented in the German national surveillance network from a 10-year period from 2009 to 2018 were selected for analysis. SSI rates and adjusted odds ratios (AOR) were calculated and a multivariable analysis to determine risk factors for SSI occurrence was conducted.ResultsA total of 418,312 THR procedures resulting in 3,231 SSIs, and 286,074 TKR procedures with 1,288 SSIs were included in the analyses. For THR, SSI rates were higher in older age groups when compared with the reference age group of 61-65 years. A significantly higher risk was observed in the 76-80 years age group (AOR: 1.21, 95% CI: 1.05-1.4). An age of ≤ 50 years was associated with a significantly lower SSI risk (AOR: 0.64, 95% CI: 0.52-0.8). For TKR, a similar correlation was observed, with the exception of the youngest age group (≤ 52 years), which was shown to have an SSI risk equal to that of the knee prosthesis reference age group (78-82 years).ConclusionA strong correlation between increasing age and SSI occurrence was observed for both procedure types. The results of our analyses provide a basis to consider future targeted SSI prevention measures for different age groups.