Presence of Invasive Devices and Risks of Healthcare-Associated Infections and Sepsis

Predicting Neutropenic Sepsis in Patients with Hematologic Malignancy: A Retrospective Case-Control Study

Neutropenic sepsis (NS) is one of the leading causes of death among patients with hematologic malignancies. Identifying its predictive factors is fundamental for early detection. Few studies have evaluated the predictive factors in relation to microbial infection confirmation, which is clinically important for initiating sepsis treatment. This study aimed to determine whether selected biomarkers (i.e., body temperature, C-reactive protein, albumin, procalcitonin), treatment-related characteristics (i.e., diagnosis, duration of neutropenia, treatment modality), and infection-related characteristics (i.e., infection source, causative organisms) can predict NS in patients with hematologic malignancies. We also aimed to identify the optimal predictive cutoff points for these parameters. This retrospective case-control study used the data from a total of 163 patients (58 in the sepsis group and 105 in the non-sepsis group). We collected data with reference to the day of specimen collection, with which microbial infection was confirmed. Multiple logistic regression was used to determine predictive risk factors and the area under the curve (AUC) of the receiver operating characteristic for the optimal predictive cutoff points. The independent predictors of NS were average body temperature during a fever episode and procalcitonin level. The odds for NS rose by 9.97 times with every 1°C rise in average body temperature (95% confidence interval, CI [1.33, 75.05]) and by 2.09 times with every 1 ng/mL rise in the procalcitonin level (95% CI [1.08, 4.04]). Average body temperature (AUC = 0.77, 95% CI [0.68, 0.87]) and procalcitonin levels (AUC = 0.71, 95% CI [0.59, 0.84]) have fair accuracy for predicting NS, with the optimal cutoff points of 37.9°C and 0.55 ng/mL, respectively. This study found that average body temperature during a fever episode and procalcitonin are useful in predicting NS. Thus, nurses should carefully monitor body temperature and procalcitonin levels in patients with hematologic malignancies to detect the onset of NS.

A Nomogram of Predicting Healthcare-Associated Infections in Burned Children

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Investigation of multiple nosocomial infections using a semi-Markov multi-state model

BACKGROUND

The prevalence of multiple nosocomial infections (MNIs) is on the rise, however, there remains a limited comprehension regarding the associated risk factors, cumulative risk, probability of occurrence, and impact on length of stay (LOS).

METHOD

This multicenter study includes all hospitalized patients from 2020 to July 2023 in two sub-hospitals of a tertiary hospital in Guangming District, Shenzhen. The semi-Markov multi-state model (MSM) was utilized to analyze risk factors and cumulative risk of MNI, predict its occurrence probability, and calculate the extra LOS of nosocomial infection (NI).

RESULTS

The risk factors for MNI include age, community infection at admission, surgery, and combined use of antibiotics. However, the cumulative risk of MNI is lower than that of single nosocomial infection (SNI). MNI is most likely to occur within 14 days after admission. Additionally, SNI prolongs LOS by an average of 7.48 days (95% Confidence Interval, CI: 6.06-8.68 days), while MNI prolongs LOS by an average of 15.94 days (95% CI: 14.03-18.17 days). Furthermore, the more sites of infection there are, the longer the extra LOS will be.

CONCLUSION

The longer LOS and increased treatment difficulty of MNI result in a heavier disease burden for patients, necessitating targeted prevention and control measures.

Neonatal sepsis in a tertiary health facility in Cape Coast, Ghana

BACKGROUND

Neonatal Sepsis remains a significant burden globally, accounting for over 2.5 million neonatal deaths annually, with low-and middle-income countries (LMIC) including Ghana disproportionately affected. The current study sought to ascertain the prevalence of neonatal sepsis and associated factors based on analysis of institutional records from Cape Coast Teaching Hospital (CCTH) in Ghana.

METHODS

The study involved a retrospective cross-sectional review of randomly sampled medical records of 360 neonates CCTH from January 2018 to December 2021. Descriptive proportions and binary logistic regression analysis were conducted to estimate the prevalence of neonates with sepsis and associated factors.

RESULTS

The prevalence of neonates with sepsis over the period was estimated to be 59%, with early-onset neonatal sepsis (EONS) and late-onset neonatal sepsis (LONS) accounting for about 29% and 30%, respectively. Neonatal factors associated with sepsis were low Apgar score (AOR = 1.64; 95% CI:1.01-2.67, p = 0.047) and low birth weight (AOR = 2.54; 95% CI:1.06-6.09, p = 0.037), while maternal factors were maternal education (AOR = 2.65; 95% CI:1.04-6.7, p = 0.040), caesarean deliveries (AOR = 0.45; 95% CI:0.26-0.75, p = 0.003), maternal infection (AOR = 1.79; 95% CI:1.09-2.94, p = 0.020) and foul-smelling liquor (AOR = 1.84; 95% CI:1.09-3.07, p = 0.020).

CONCLUSION

The study underscores the need for improved routine care and assessment of newborns to prevent the onset of neonatal sepsis, with particular emphasis on the neonatal and maternal risk factors highlighted in the current study.

A machine learning model for the early diagnosis of bloodstream infection in patients admitted to the pediatric intensive care unit

Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric intensive care unit (PICU) and high healthcare costs. Early detection and appropriate treatment of BSI may improve patient's outcome. Data on machine-learning models to predict BSI in pediatric patients are limited and neither study included time series data. We aimed to develop a machine learning model to predict an early diagnosis of BSI in patients admitted to the PICU. This was a retrospective cohort study of patients who had at least one positive blood culture result during stay at a PICU of a tertiary-care university hospital, from January 1st to December 31st 2019. Patients with positive blood culture results with growth of contaminants and those with incomplete data were excluded. Models were developed using demographic, clinical and laboratory data collected from the electronic medical record. Laboratory data (complete blood cell counts with differential and C-reactive protein) and vital signs (heart rate, respiratory rate, blood pressure, temperature, oxygen saturation) were obtained 72 hours before and on the day of blood culture collection. A total of 8816 data from 76 patients were processed by the models. The machine committee was the best-performing model, showing accuracy of 99.33%, precision of 98.89%, sensitivity of 100% and specificity of 98.46%. Hence, we developed a model using demographic, clinical and laboratory data collected on a routine basis that was able to detect BSI with excellent accuracy and precision, and high sensitivity and specificity. The inclusion of vital signs and laboratory data variation over time allowed the model to identify temporal changes that could be suggestive of the diagnosis of BSI. Our model might help the medical team in clinical-decision making by creating an alert in the electronic medical record, which may allow early antimicrobial initiation and better outcomes.

Enhancing competency in infection prevention and control: Identifying priorities for clinical nurse educational needs

BACKGROUND

Healthcare-associated infections (HAIs) have become a significant concern globally, posing risks to patients and imposing social and economic burdens. Competency in infection prevention and control (IPC) practices is essential for nurses to effectively reduce the risk of transmission. However, there is a lack of research on educational needs for competency in IPC practices.

OBJECTIVES

This study aimed to assess and prioritize educational needs for the development of educational content focused on the IPC practices of clinical nurses.

DESIGN

A descriptive cross-sectional design was utilized.

SETTINGS

This study was conducted at six general hospitals located in five urban regions in South Korea, each with 100 to 300 beds.

PARTICIPANTS

A total of 226 nurses were recruited as participants for this study.

METHODS

Data were collected from June to July 2021. A total of 226 nurses participated in this study. After examining the perceived importance and current performance of attributes related to IPC, educational needs were identified by paired-sample t-test, importance-performance analysis, Borich's needs analysis, and the Locus for Focus model.

RESULTS

Items related to IPC were found to have lower performance than importance, highlighting the need for education. Educational needs were the highest for items in the "IPC practices according to microorganisms" category, such as MRSA, VRE, antimicrobial-resistant organisms, Clostridium difficile, scabies, and AIDS. Items in the "isolation precautions" category, including standard precautions, transmission-based precautions, management of isolation rooms, and wearing PPE, also demonstrated high priority in terms of educational needs. The findings suggest the need for training programs for clinical nurses with a focus on specific areas for improving IPC competency.

CONCLUSIONS

The development and implementation of training modules tailored to the educational needs of clinical nurses may enhance their skills, knowledge, and attitudes, ultimately resulting in improved performance.

Infection Associated With Invasive Devices in Pediatric Health Care: A Meta-analysis

CONTEXT

Indwelling invasive devices inserted into the body for extended are associated with infections.

OBJECTIVE

This study aimed to estimate infection proportion and rates associated with invasive devices in pediatric healthcare.

DATA SOURCES

Medline, CINAHL, Embase, Web of Science, Scopus, Cochrane CENTRAL, clinical trial registries, and unpublished study databases were searched.

STUDY SELECTION

Cohort studies and trials published from January 2011 to June 2022, including (1) indwelling invasive devices, (2) pediatric participants admitted to a hospital, (3) postinsertion infection complications, and (4) published in English, were included.

DATA EXTRACTION

Meta-analysis of observational studies in epidemiology guidelines for abstracting and assessing data quality and validity were used.

MAIN OUTCOMES AND MEASURES

Device local, organ, and bloodstream infection (BSIs) pooled proportion and incidence rate (IR) per-1000-device-days per device type were reported.

RESULTS

A total of 116 studies (61 554 devices and 3 632 364 device-days) were included. The highest number of studies were central venous access devices associated BSI (CVAD-BSI), which had a pooled proportion of 8% (95% confidence interval [CI], 6-11; 50 studies) and IR of 0.96 per-1000-device-days (95% CI, 0.78-1.14). This was followed by ventilator-associated pneumonia in respiratory devices, which was 19% (95% CI, 14-24) and IR of 14.08 per-1000-device-days (95%CI, 10.57-17.58).

CONCLUSIONS

Although CVAD-BSI and ventilator associated pneumonia are well-documented, there is a scarcity of reporting on tissue and local organ infections. Standard guidelines and compliance initiatives similar to those dedicated to CVADs should be implemented in other devices in the future.

Healthcare-associated infections among neonates and children in Pakistan: findings and the implications from a point prevalence survey

BACKGROUND

Healthcare-associated infections (HAIs) increase morbidity, mortality and costs. The overall prevalence of HAIs is greater in low- and middle-income countries due to poor resources and infrastructure, with the incidence of HAIs greater among neonates and children. There is a need to understand the current situation in Pakistan including key drivers to improve future care.

METHODS

Point prevalence survey (PPS) of HAIs in the children's wards of 19 public sector secondary- and tertiary-care hospitals of Pakistan and associated key drivers.

RESULTS

A total of 1147 children were included in the PPS. 35.7% were neonates with 32.8% aged >1-5 years. 35.2% were admitted to the intensive care units (ICUs). Peripheral, central venous and urinary catheters were present in 48%, 2.9% and 5.6% of the patients, respectively. A total of 161 HAIs from various pathogens were observed in 153 cases, giving a prevalence of 13.3%. The majority of HAIs were caused by Staphylococcus aureus (31.7%) followed by Klebsiella pneumoniae (22.9%) and Escherichia coli (17.4%). Bloodstream infections were identified in 42 cases followed by lower-respiratory-tract infections in 35. Increased length of hospital stays and being admitted to the ICU, 'rapidly fatal' patients under the McCabe and Jackson criteria, central and peripheral catheterization, and invasive mechanical ventilation were, associated with higher HAIs (P<0.001). 99.7% of HAI patients fully recovered and were discharged from the hospital.

CONCLUSION

There is a high prevalence of HAIs among neonates and children admitted to health facilities in Pakistan. Infection prevention and control measures should be implemented to help prevent future HAIs.

Comparison of Outcomes in Neonates Receiving Cefepime or Ceftazidime

OBJECTIVES

Cefepime and ceftazidime are alternatives to cefotaxime for management of Gram-negative infections in neonates. The objective was to evaluate neonatal outcomes when receiving cefepime or ceftazidime.

METHODS

This was a single center, retrospective analysis of neonates exposed to at least 24 hours of cefepime or ceftazidime between June 1, 2018, and June 1, 2021. The primary outcome was incidence of culture-positive, late-onset sepsis after initial exposure. Secondary outcomes included culture-negative, respiratory, urinary tract, and resistant infections; necrotizing enterocolitis; length of stay; age at discharge; mortality; and adverse effects.

RESULTS

A total of 105 neonates were included (cefepime, n = 50; ceftazidime, n = 55). Baseline characteristics were similar except more cumulative days of antibiotics (25.0 [IQR, 9.3-47.0] versus 9.0 [IQR, 4.0-23.5], p = 0.01), central line days (11.0 [IQR, 6.0-40.0] versus 6.5 [IQR, 0.0-11.5], p = 0.001), and ventilator days (13.0 [IQR, 2.3-48.0] versus 4.0 [IQR, 0.0-25.0], p = 0.02) were found in the cefepime group than in the ceftazidime group. There was no difference in culture-positive sepsis after the initial antibiotic course (8.0% versus 3.6%, p = 0.42). Statistical differences were seen in select secondary outcomes including treated respiratory infections (16.0% versus 1.8%, p = 0.01), length of stay greater than 30 days (72.0% versus 50.9%, p = 0.03), and mortality (26.0% versus 9.1%, p = 0.02). These differences were not observed in analyses adjusted for ventilator days.

CONCLUSIONS

This analysis found no difference in culture-positive sepsis in neonates exposed to cefepime versus ceftazidime. Moreover, there were no differences in secondary outcomes in adjusted analyses. Further research is needed to assess neonatal outcomes in a larger analysis.

Evaluating the Potential of a New Low-Profile Urinary Catheter in Preventing Catheter-Associated Urinary Tract Infections: A Prospective Randomized Blinded Clinical Trial

Aim

To investigate the efficacy of a new low-profile catheter on incidence of the catheter-associated urinary tract infections (CAUTI) in comatose patients admitted to the intensive care unit.

Background

Catheter-induced urothelial injury is a key component in the development of urinary tract infections in catheterized patients.

Methods

In this prospective randomized blinded clinical trial, 80 patients requiring indwelling urinary catheterization were equally randomized to either the standard Foley catheter (control) or the low-profile catheter (experimental) group. The signs of urinary tract infection for comatose patients were considered (ie, ≥105 of colony-forming unit/milliliter of urine, hematuria, serum leukocytes, and body temperature) and recorded at baseline and on days 3 and 5 after catheterization. The analysis of covariance was applied by the SPSS-20 software at a 95% confidence level.

Results

An increasing proportion of patients with elevated urinary colony counts were seen in the Foley catheter group compared with the low-profile catheter group (12.5% vs 5%). However, there were no between-group differences in the urinary colony counts and body temperature after controlling for antibiotic doses and fluid intake. Patients in the low-profile catheter group had significantly lower rates of hematuria and serum leukocytes than those in the Foley catheter group.

Conclusion

A newly designed low-profile urinary catheter has demonstrated a trend toward reducing the incidence of CAUTI in patients with indwelling urinary catheters. Further studies with larger sample sizes and follow-up are needed to confirm the benefits.

Predictors and Outcomes of Healthcare-Associated Infections among Patients with COVID-19 Admitted to Intensive Care Units in Punjab, Pakistan; Findings and Implications

Healthcare-associated infections (HAIs) have a considerable impact on morbidity, mortality and costs. The COVID-19 pandemic resulted in an appreciable number of hospitalized patients being admitted to intensive care units (ICUs) globally with a greater risk of HAIs. Consequently, there is a need to evaluate predictors and outcomes of HAIs among COVID-19 patients admitted to ICUs. A retrospective study of patients with COVID-19 admitted to ICUs of three tertiary care hospitals in the Punjab province over a five-month period in 2021 was undertaken to ascertain predictors and outcomes of HAIs. Of the 4534 hospitalized COVID-19 patients, 678 were admitted to ICUs, of which 636 patients fulfilled the inclusion criteria. Overall, 67 HAIs were identified among the admitted patients. Ventilator-associated lower respiratory tract infections and catheter-related urinary tract infections were the most frequent HAIs. A significantly higher number of patients who developed HAIs were on anticoagulants (p = 0.003), antithrombotic agents (p < 0.001), antivirals (p < 0.001) and IL-6 inhibiting agents (p < 0.001). Secondary infections were significantly higher in patients who were on invasive mechanical ventilation (p < 0.001), had central venous access (p = 0.023), and urinary catheters (p < 0.001). The mortality rate was significantly higher in those with secondary infections (25.8% vs. 1.2%, p < 0.001). Our study concluded that COVID-19 patients admitted to ICUs have a high prevalence of HAIs associated with greater mortality. Key factors need to be addressed to reduce HAIs.

Medical Technology: A Systematic Review on Medical Devices Utilized for Epilepsy Prediction and Management

BACKGROUND

Epilepsy is a devastating neurological disorder that affects nearly 70 million people worldwide. Epilepsy causes uncontrollable, unprovoked and unpredictable seizures that reduce the quality of life of those afflicted, with 1-9 epileptic patient deaths per 1000 patients occurring annually due to sudden unexpected death in epilepsy (SUDEP). Predicting the onset of seizures and managing them may help patients from harming themselves and may improve their well-being. For a long time, electroencephalography (EEG) devices have been the mainstay for seizure detection and monitoring. This systematic review aimed to elucidate and critically evaluate the latest advancements in medical devices, besides EEG, that have been proposed for the management and prediction of epileptic seizures. A literature search was performed on three databases, PubMed, Scopus and EMBASE.

METHODS

Following title/abstract screening by two independent reviewers, 27 articles were selected for critical analysis in this review.

RESULTS

These articles revealed ambulatory, non-invasive and wearable medical devices, such as the in-ear EEG devices; the accelerometer-based devices and the subcutaneous implanted EEG devices might be more acceptable than traditional EEG systems. In addition, extracerebral signalbased devices may be more efficient than EEG-based systems, especially when combined with an intervention trigger. Although further studies may still be required to improve and validate these proposed systems before commercialization, these findings may give hope to epileptic patients, particularly those with refractory epilepsy, to predict and manage their seizures.

CONCLUSION

The use of medical devices for epilepsy may improve patients' independence and quality of life and possibly prevent sudden unexpected death in epilepsy (SUDEP).

Incidence of healthcare-associated infections with invasive devices and surgical procedures in Nepal

SETTING

Dhulikhel Hospital, Kathmandu University Hospital, Kathmandu, Nepal.

OBJECTIVES

1) To report the incidence of health-care-associated infections (HAIs), 2) to compare demographic, clinical characteristics and hospital outcomes in those with and without HAIs; and 3) to verify bacterial types in HAI and community-acquired infections (CAIs) among inpatients with invasive devices and/or surgical procedures.

DESIGN

This was a cohort study using secondary data (December 2017 to April 2018).

RESULTS

Of 1,310 inpatients, 908 (69.3%) had surgical procedures, 125 (9.5%) had invasive devices and 277 (21.1%) both. Sixty-six developed HAIs (incidence = 5/100 patient admissions, 95% CI 3.9-6.3). Individuals with HAIs had a 5.5-fold higher risk of longer hospital stays (⩾7 days) and a 6.9-fold risk of being in intensive care compared to the surgical ward. Unfavourable hospital exit outcomes were higher in those with HAIs (4.5%) than in those without (0.9%, P = 0.02). The most common HAI bacteria (n = 70) were Escherichia coli (44.3%), Enterococcus spp. (22.9%) and Klebsiella spp. (11.4%). Of 98 CAIs with 41 isolates, E. coli (36.6%), Staphylococcus aureus (22.0%) and methicillin-resistant S. aureus (14.6%) were common.

CONCLUSION

We found relatively low incidence of HAIs, which reflects good infection prevention and control standards. This study serves as a baseline for future monitoring and action.