Hospital-Acquired Infections in Critically Ill Patients With Cancer

Deep Learning-Based Early Warning Score for Predicting Clinical Deterioration in General Ward Cancer Patients

BACKGROUND

Cancer patients who are admitted to hospitals are at high risk of short-term deterioration due to treatment-related or cancer-specific complications. A rapid response system (RRS) is initiated when patients who are deteriorating or at risk of deteriorating are identified. This study was conducted to develop a deep learning-based early warning score (EWS) for cancer patients (Can-EWS) using delta values in vital signs.

METHODS

A retrospective cohort study was conducted on all oncology patients who were admitted to the general ward between 2016 and 2020. The data were divided into a training set (January 2016-December 2019) and a held-out test set (January 2020-December 2020). The primary outcome was clinical deterioration, defined as the composite of in-hospital cardiac arrest (IHCA) and unexpected intensive care unit (ICU) transfer.

RESULTS

During the study period, 19,739 cancer patients were admitted to the general wards and eligible for this study. Clinical deterioration occurred in 894 cases. IHCA and unexpected ICU transfer prevalence was 1.77 per 1000 admissions and 43.45 per 1000 admissions, respectively. We developed two models: Can-EWS V1, which used input vectors of the original five input variables, and Can-EWS V2, which used input vectors of 10 variables (including an additional five delta variables). The cross-validation performance of the clinical deterioration for Can-EWS V2 (AUROC, 0.946; 95% confidence interval [CI], 0.943-0.948) was higher than that for MEWS of 5 (AUROC, 0.589; 95% CI, 0.587-0.560; p < 0.001) and Can-EWS V1 (AUROC, 0.927; 95% CI, 0.924-0.931). As a virtual prognostic study, additional validation was performed on held-out test data. The AUROC and 95% CI were 0.588 (95% CI, 0.588-0.589), 0.890 (95% CI, 0.888-0.891), and 0.898 (95% CI, 0.897-0.899), for MEWS of 5, Can-EWS V1, and the deployed model Can-EWS V2, respectively. Can-EWS V2 outperformed other approaches for specificities, positive predictive values, negative predictive values, and the number of false alarms per day at the same sensitivity level on the held-out test data.

CONCLUSIONS

We have developed and validated a deep learning-based EWS for cancer patients using the original values and differences between consecutive measurements of basic vital signs. The Can-EWS has acceptable discriminatory power and sensitivity, with extremely decreased false alarms compared with MEWS.

Nurses' Adherence to the Portuguese Standard to Prevent Catheter-Associated Urinary Tract Infections (CAUTIs): An Observational Study

Urinary tract infections are among the most prevalent types of healthcare-associated infections (HAIs) in hospitals and nursing homes, and they are primarily a result of unnecessary catheter usage and inadequate care. In Portugal, epidemiological data indicate that catheter-associated urinary tract infections (CAUTIs) remain widespread in clinical settings, resulting in increased morbidity and mortality rates among vulnerable populations. This study aimed to assess urinary catheter use in an oncology ward in Portugal and to evaluate nurses' adherence to the government-endorsed standards for preventing CAUTIs. An observational study was conducted over a four-month period with daily assessments of nurses' practices during urinary catheter insertion and maintenance using a government-endorsed auditing tool. Data were collected through on-site observations and nurses' feedback. The findings revealed a urinary catheter utilization rate of 17.99%. However, there was a lack of complete adherence to government-endorsed standards among oncology nurses (0%). These results indicate that current practices lack evidence-based standardization. Therefore, there is a need to develop and implement quality improvement initiatives to enhance patient safety and experiences.

Outcomes and Prognostic Factors in Critical Patients with Hematologic Malignancies

Patients with hematologic malignancies (HMs) have a significantly elevated risk of mortality compared to other cancer patients treated in the intensive care unit (ICU). The prognostic impact of numerous poor outcome indicators has changed, and research has yielded conflicting results. This study aims to determine the ICU and hospital outcomes and risk factors that predict the prognosis of critically ill patients with HMs. In this retrospective study, conducted at a referral hospital in Taiwan, 213 adult patients with HMs who were admitted to the medical ICU were evaluated. We collected clinical data upon hospital and ICU admission. Using a multivariate regression analysis, the predictors of ICU and hospital mortality were assessed. Then, a scoring system (Hospital outcome of critically ill patients with Hematological Malignancies (HHM)) was built to predict hospital outcomes. Most HMs (76.1%) were classified as high grade, and more than one-third of patients experienced a relapsed or refractory disease. The ICU and hospital mortality rates were 55.9% and 71.8%, respectively. Moreover, the disease severity was high (median Sequential Organ Failure Assessment (SOFA) score: 11 and Acute Physiology and Chronic Health Evaluation (APACHE II) score: 28). The multivariate analysis revealed that high-grade HMs, invasive mechanical ventilation requirement, renal replacement therapy initiation in the ICU, and a high SOFA score correlated with ICU mortality. Furthermore, a higher HHM score predicted hospital mortality. This study demonstrates that ICU mortality primarily correlates with the severity of organ dysfunction, whereas the disease status markedly influences hospital outcomes. Furthermore, the HHM score significantly predicts hospital mortality.

Comparison between hospital- and community-acquired septic shock in children: a single-center retrospective cohort study

BACKGROUND

We explored the differences in baseline characteristics, pathogens, complications, outcomes, and risk factors between children with hospital-acquired septic shock (HASS) and community-acquired septic shock (CASS) in the pediatric intensive care unit (PICU).

METHODS

This retrospective study enrolled children with septic shock at the PICU of Beijing Children's Hospital from January 1, 2016, to December 31, 2019. The patients were followed up until 28 days after shock or death and were divided into the HASS and CASS group. Logistic regression analysis was used to identify risk factors for mortality.

RESULTS

A total of 298 children were enrolled. Among them, 65.9% (n = 91) of HASS patients had hematologic/oncologic diseases, mainly with Gram-negative bacterial bloodstream infections (47.3%). Additionally, 67.7% (n = 207) of CASS patients had no obvious underlying disease, and most experienced Gram-positive bacterial infections (30.9%) of the respiratory or central nervous system. The 28-day mortality was 62.6% and 32.7% in the HASS and CASS groups, respectively (P < 0.001). Platelet [odds ratio (OR) = 0.996, 95% confidence interval (CI) = 0.992-1.000, P = 0.028], positive pathogen detection (OR = 3.557, 95% CI = 1.307-9.684, P = 0.013), and multiple organ dysfunction syndrome (OR = 10.953, 95% CI = 1.974-60.775, P = 0.006) were risk factors for 28-day mortality in HASS patients. Lactate (OR = 1.104, 95% CI = 1.022-1.192, P = 0.012) and mechanical ventilation (OR = 8.114, 95% CI = 1.806-36.465, P = 0.006) were risk factors for 28-day mortality in patients with CASS.

CONCLUSIONS

The underlying diseases, pathogens, complications, prognosis, and mortality rates varied widely between the HASS and CASS groups. The predictors of 28-day mortality were different between HASS and CASS pediatric patients with septic shock.

Risk Factors for Infections, Antibiotic Therapy, and Its Impact on Cancer Therapy Outcomes for Patients with Solid Tumors

Infections represent a significant cause of morbidity and mortality in cancer patients. Multiple factors related to the patient, tumor, and cancer therapy can affect the risk of infection in patients with solid tumors. A thorough understanding of such factors can aid in the identification of patients with substantial risk of infection, allowing medical practitioners to tailor therapy and apply prophylactic measures to avoid serious complications. The use of novel treatment modalities, including targeted therapy and immunotherapy, brings diagnostic and therapeutic challenges into the management of infections in cancer patients. A growing body of evidence suggests that antibiotic therapy can modulate both toxicity and antitumor response induced by chemotherapy, radiotherapy, and especially immunotherapy. This article provides a comprehensive review of potential risk factors for infections and therapeutic approaches for the most prevalent infections in patients with solid tumors, and discusses the potential effect of antibiotic therapy on toxicity and efficacy of cancer therapy.

Association and risk factors of healthcare-associated infection and burden of illness among chemotherapy-induced ulcerative mucositis patients

Objectives

To evaluate the association and risk factors of healthcare-associated infection (HAI) and burden of illness among chemotherapy-induced ulcerative mucositis (UM) patients.

Methods

For this research, US National Inpatient Sample database 2017 was utilized to study UM patients. The association of healthcare-associated infection-related burden of illness among UM patients was assessed on the outcome––length of hospital stays (LOS), total charges, in-hospital mortality, and discharge disposition.

Result

In 2017, there were 11,350 adult (> 18 years of age) UM patients, among them there were 415 (3.5%) HAI. After adjusting for patient and clinical characteristics, UM patients with HAI were most likely to have higher total charges and longer LOS (1.91; 95% CIs: 1.51–2.41; P < 0.001; 1.84; 95% CIs: 1.53–2.21; P < 0.001) than those without HAI. Further, mortality was not significantly different. UM patients with HAI were less likely to have higher burden of illness who were younger, females, those living in non-metropolitan or micropolitan counties, and those with lower co-morbidity score. Additionally, UM patients with HAI were more likely to discharge to skilled nursing facility (SNF), intermediate care facility (ICF), and another type of facility (ATF), (aOR = 2.58 (1.16–5.76), P = 0.02), than they were to discharge to self-care or home care.

Conclusion

UM patients with HAI were more likely to have higher burden of illness and more likely to discharged to the SNF, ICF, and ATF rather than to home or self-care.

Clinical relevance

UM patients when associated with HAI have higher burden of illness; a tailored approach to oral care might prevent HAIs and burden of illness among UM.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00784-021-04106-0.

Infectious Disease Complications in Patients with Cancer

Critically ill patients with cancer are vulnerable to infections because of the underlying malignancy, tumor-directed therapy, immunosuppression, breaches in mucosa or skin, malnutrition, and other factors. Neutropenia remains the most important risk factor for infection. Infectious complications occurring in critically ill patients with cancer can affect the bloodstream, lungs, gastrointestinal tract, central nervous system, urinary tract, and the skin. Pneumonias are the leading cause of infection in patients with cancer admitted to the intensive care unit. Consideration of opportunistic pathogens in the differential diagnosis is important in patients with impaired cellular and/or humoral immunity or compromised splenic function.

Nurses' perceptions of the sustainability of a standardised assessment for preventing complications in a ICU: a qualitative study

Background: Quality improvement projects have been widely adopted to prevent complications in the ICU. Objective: This paper describes nurses' perceptions of implementation strategies and the potential sustainability of a practice change intervention to prevent complications in a Malaysian ICU. Design: A participatory action research using five focus group discussions were undertaken with 19 nurses in a single ICU in regional Malaysia. Focus group transcripts were analysed using thematic analysis. Results: The main themes derived from the interviews were: [1] Empowering staff to embrace evidence-based practices; [2] Staff knowledge, attitudes, and beliefs that impact on behaviour; and [3] management support and leadership are influential in staff behaviours (acceptance & perseverance of change process). Discussion: Resistance to change was recognized as a barrier to adopting evidence based recommendations. There is a need to improve nurses' knowledge, attitude and awareness of the importance of assessment for VAP, CRBSI and PIs in the ICU.