Risk factors for hospital-acquired infection during the SARS-CoV-2 pandemic

Impact of infection prevention and control practices, including personal protective equipment, on the prevalence of hospital-acquired infections in acute care hospitals during COVID-19: a systematic review and meta-analysis

BACKGROUND

The COVID-19 pandemic has posed an unprecedented challenge to healthcare systems globally. Personal protective equipment has played a fundamental role in protecting healthcare workers and patients, but its effectiveness in reducing hospital-acquired infections (HAIs) during the pandemic remains a subject of debate.

AIM

To conduct a synthesis and meta-analysis of the best available evidence of the prevalence of HAIs using a before/after approach.

METHODS

A three-step search strategy was undertaken to locate published and unpublished studies. A search was performed in MEDLINE, CINAHL, Embase, PsycINFO, and Google Scholar. Screening of studies, data extraction and critical appraisal were performed by four independent reviewers. Meta-analysis was conducted using Review Manager. The review is reported in accordance with PRISMA and JBI guidelines for systematic reviews.

FINDINGS

Fifteen studies were included in the review. Three studies indicated a statistically significant increase in the number of positive cultures during the COVID-19 period compared to the pre-COVID-19 period. Pooled data showed a non-significant decrease in the number of patients with positive cultures in the COVID-19 period compared to pre-COVID-19. There were no significant differences in various bacterial infections except for a significant decrease in respiratory infections. Pooled data for central line-associated bloodstream infections (CLABSIs) indicated a significant increase during the COVID-19 period, but one study reported an increase in CLABSI incidence.

CONCLUSION

The evidence from this review demonstrates a mixed impact of the COVID-19 pandemic precautions on HAIs.

Clinical and Laboratory Profile, Management and Outcome of Pediatric SARS-CoV-2 Infection Admitted at the Philippine General Hospital

Background

The Philippines has recorded over 470,000 COVID-19 cases in children, with over 1,500 deaths during the same period. Although a Philippine online pediatric COVID-19 registry exists, this only relies on passive surveillance.

Objectives

This study determined the clinical and laboratory profile, risk factors for severe COVID-19, and mortality, management, and outcome of pediatric SARS-CoV-2 patients admitted at the Philippine General Hospital (PGH) from April 2020 to June 2022 to fill in knowledge gaps on the epidemiology of COVID-19 infection in children.

Methods

This was a retrospective cohort study of pediatric COVID-19 cases admitted at the PGH, a designated COVID referral center during the study period. Demographic and clinical profile, risk factors, comorbidities, laboratory and radiologic findings, management, and outcomes across different disease severity states were gathered by chart review and the data were analyzed using STATA 17.

Results

There were 448 pediatric patients admitted and diagnosed with COVID-19 during the study period. Most patients belonged to the 1-5-year age group (25.9%), had no known exposure to a COVID-19 case (65.4%), were mild cases (37.3%%), and did not receive any dose of the COVID-19 vaccine (96.7%). The most common presenting symptoms across all disease categories were fever (44.4%), cough (28.6%), and shortness of breath (26.6%). Multisystem inflammatory syndrome in children (MIS-C) presented with fever (100%) and rash (53.9%). The risk factors for severe disease were the presence of a congenital anomaly lung disease, and elevated procalcitonin. Most patients with MIS-C were previously well with no comorbidities. Laboratory findings which were markedly elevated among severe and critical cases were ESR, CRP, D-dimer, LDH, and IL-6. Ferritin, procalcitonin (PCT) and IL-6 were elevated only in severe to critical COVID-19 cases and remained within normal for the other disease categories. As to treatment, asymptomatic, mild, and moderate cases were given supportive medications (zinc, vitamin D, and vitamin C), while investigational drugs particularly corticosteroids, IVIG, and remdesivir, were used in severe cases.Antibiotics were given to 71.7% of patients at the outset. As to the outcomes, 89% recovered, while 8.9% died. The case fatality rate from COVID-19 infection was at 2.2%.

Conclusion

Admitted pediatric COVID-19 cases are generally mild but admission is due to underlying illness or comorbidities. Those with severe to critical cases have underlying comorbidities and had either progression or complications due to COVID disease. D-dimer, LDH, IL-6, ferritin and procalcitonin were elevated among severe and critical cases which can be utilized as inflammatory markers.

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

BACKGROUND

The 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.

METHODS

We 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.

RESULTS

We 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.

CONCLUSIONS

These 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.

Impact of the Severe acute respiratory syndrome coronavirus 2 pandemic on mortality associated with healthcare-associated infections

Objective

To determine the relationship between severe acute respiratory syndrome coronavirus 2 infection, hospital-acquired infections (HAIs), and mortality.

Design

Retrospective cohort.

Setting

Three St. Louis, MO hospitals.

Patients

Adults admitted ≥48 hours from January 1, 2017 to August 31, 2020.

Methods

Hospital-acquired infections were defined as those occurring ≥48 hours after admission and were based on positive urine, respiratory, and blood cultures. Poisson interrupted time series compared mortality trajectory before (beginning January 1, 2017) and during the first 6 months of the pandemic. Multivariable logistic regression models were fitted to identify risk factors for mortality in patients with an HAI before and during the pandemic. A time-to-event analysis considered time to death and discharge by fitting Cox proportional hazards models.

Results

Among 6,447 admissions with subsequent HAIs, patients were predominantly White (67.9%), with more females (50.9% vs 46.1%, P = .02), having slightly lower body mass index (28 vs 29, P = .001), and more having private insurance (50.6% vs 45.7%, P = .01) in the pre-pandemic period. In the pre-pandemic era, there were 1,000 (17.6%) patient deaths, whereas there were 160 deaths (21.3%, P = .01) during the pandemic. A total of 53 (42.1%) coronavirus disease 2019 (COVID-19) patients died having an HAI. Age and comorbidities increased the risk of death in patients with COVID-19 and an HAI. During the pandemic, Black patients with an HAI and COVID-19 were more likely to die than White patients with an HAI and COVID-19.

Conclusions

In three Midwestern hospitals, patients with concurrent HAIs and COVID-19 were more likely to die if they were Black, elderly, and had certain chronic comorbidities.