Enhancing end of life care on general internal medical wards: the 3 Wishes Project.

BACKGROUND: Initially developed in the intensive care unit (ICU) at St. Joseph's Healthcare Hamilton (SJHH) the 3 Wishes Project (3WP) provides personalized, compassionate care to dying patients and their families. The objective of this study was to develop and evaluate 3WP expansion strategies for patients cared for on General Internal Medicine (GIM) wards in our hospital. METHODS: From January 2020-November 2021, we developed a phased, multicomponent approach for program expansion. We enrolled patients on the GIM wards who had a high probability of dying in hospital, then elicited, implemented, and documented wishes for them or their families. Data were analyzed descriptively. RESULTS: From March 2020 to November 2020, we implemented staff education and engagement activities, created an Expansion Coordinator position, held strategic consultations, and offered enabling resources. From March 2020 to November 2021, we enrolled 62 patients and elicited 281 wishes (median [1st, 3rd quartiles] 4 [4, 5] wishes/patient). The most common wish categories were personalizing the environment (67 wishes, 24%), rituals and spiritual support (42 wishes, 15%), and facilitating connections (39 wishes, 14%). The median [1st, 3rd] cost/patient was $0 [0, $10.00] (range $0 to $86); 91% of wishes incurred no cost to the program. CONCLUSIONS: The formal expansion of the 3WP on GIM wards has been successful despite COVID-19 pandemic disruptions. While there is still work ahead, these data suggest that implementing the 3WP on the GIM wards is feasible and affordable. Increased engagement of the clinical team during the pandemic suggests that it is positively received.

Vaccination status and long COVID symptoms in patients discharged from hospital.

Effective vaccination against coronavirus mitigates the risk of hospitalisation and mortality; however, it is unclear whether vaccination status influences long COVID symptoms in patients who require hospitalisation. The available evidence is limited to outpatients with mild disease. Here, we evaluated 412 patients (age: 60 ± 16 years, 65% males) consecutively admitted to two Hospitals in Brazil due to confirmed coronavirus disease 2019 (COVID-19). Compared with patients with complete vaccination (n = 185) before infection or hospitalisation, those with no or incomplete vaccination (n = 227) were younger and had a lower frequency of several comorbidities. Data during hospitalisation revealed that the no or incomplete vaccination group required more admissions to the intensive care unit (ICU), used more corticosteroids, and had higher rates of pulmonary embolism or deep venous thrombosis than the complete vaccination group. Ninety days after hospital discharge, patients with no or incomplete vaccination presented a higher frequency of symptoms (≥ 1) than patients with complete vaccination (40 vs. 27%; p = 0.013). After adjusting for confounders, no or incomplete vaccination (odds ratio [OR] 1.819; 95% confidence interval [CI] 1.175-2.815), female sex (OR 2.435; 95% CI 1.575-3.764) and ICU admission during hospitalisation (OR 1.697; 95% CI 1.062-2.712) were independently associated with ≥ 1 symptom 90 days after hospital discharge. In conclusion, even in patients with severe COVID-19, vaccination mitigates the probability of long COVID symptoms.

Incidence and Clinical Outcomes of New-Onset Atrial Fibrillation in Critically lll Patients with COVID-19: A Multicenter Cohort Study - New-Onset Atrial Fibrillation and COVID-19.

Atrial fibrillation (Afib) can contribute to a significant increase in mortality and morbidity in critically ill patients. Thus, our study aims to investigate the incidence and clinical outcomes associated with the new-onset Afib in critically ill patients with COVID-19. A multicenter, retrospective cohort study includes critically ill adult patients with COVID-19 admitted to the intensive care units (ICUs) from March, 2020 to July, 2021. Patients were categorized into two groups (new-onset Afib vs control). The primary outcome was the in-hospital mortality. Other outcomes were secondary, such as mechanical ventilation (MV) duration, 30-day mortality, ICU length of stay (LOS), hospital LOS, and complications during stay. After propensity score matching (3:1 ratio), 400 patients were included in the final analysis. Patients who developed new-onset Afib had higher odds of in-hospital mortality (OR 2.76; 95% CI: 1.49-5.11, P = .001). However, there was no significant differences in the 30-day mortality. The MV duration, ICU LOS, and hospital LOS were longer in patients who developed new-onset Afib (beta coefficient 0.52; 95% CI: 0.28-0.77; P < .0001,beta coefficient 0.29; 95% CI: 0.12-0.46; P < .001, and beta coefficient 0.35; 95% CI: 0.18-0.52; P < .0001; respectively). Moreover, the control group had significantly lower odds of major bleeding, liver injury, and respiratory failure that required MV. New-onset Afib is a common complication among critically ill patients with COVID-19 that might be associated with poor clinical outcomes; further studies are needed to confirm these findings.

Current insights in ICU nutrition: tailored nutrition.

PURPOSE OF REVIEW: To summarize recent research on critical care nutrition focusing on the optimal composition, timing, and monitoring of enteral feeding strategies for (post)-ICU patients. We provide new insights on energy and protein recommendations, feeding intolerance, and describe nutritional practices for coronavirus disease 2019 ICU patients. RECENT FINDINGS: The use of indirect calorimetry to establish individual energy requirements for ICU patients is considered the gold standard. The limited research on optimal feeding targets in the early phase of critical illness suggests avoiding overfeeding. Protein provision based upon the absolute lean body mass is rational. Therefore, body composition measurements should be considered. Body impedance analysis and muscle ultrasound seem reliable, affordable, and accessible methods to assess body composition at the bedside. There is inadequate evidence to change our practice of continuous enteral feeding into intermittent feeding. Finally, severe acute respiratory syndrome coronavirus 2 patients are prone to underfeeding due to hypermetabolism and should be closely monitored. SUMMARY: Nutritional therapy should be adapted to the patient's characteristics, diagnosis, and state of metabolism during ICU stay and convalescence. A personalized nutrition plan may prevent harmful over- or underfeeding and attenuate muscle loss. Despite novel insights, more research is warranted into tailored nutrition strategies during critical illness and convalescence.

Age Moderates the Effect of Obesity on Mortality Risk in Critically Ill Patients With COVID-19: A Nationwide Observational Cohort Study.

OBJECTIVES: A high body mass index (BMI) is associated with an unfavorable disease course in COVID-19, but not among those who require admission to the ICU. This has not been examined across different age groups. We examined whether age modifies the association between BMI and mortality among critically ill COVID-19 patients. DESIGN: An observational cohort study. SETTING: A nationwide registry analysis of critically ill patients with COVID-19 registered in the National Intensive Care Evaluation registry. PATIENTS: We included 15,701 critically ill patients with COVID-19 (10,768 males [68.6%] with median [interquartile range] age 64 yr [55-71 yr]), of whom 1,402 (8.9%) patients were less than 45 years. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: In the total sample and after adjustment for age, gender, Acute Physiology and Chronic Health Evaluation IV, mechanical ventilation, and use of vasoactive drugs, we found that a BMI greater than or equal to 30 kg/m 2 does not affect hospital mortality (adjusted odds ratio [OR adj ] = 0.98; 95% CI, 0.90-1.06; p = 0.62). For patients less than 45 years old, but not for those greater than or equal to 45 years old, a BMI greater than or equal to 30 kg/m 2 was associated with a lower hospital mortality (OR adj = 0.59; 95% CI, 0.36-0.96; p = 0.03). CONCLUSIONS: A higher BMI may be favorably associated with a lower mortality among those less than 45 years old. This is in line with the so-called "obesity paradox" that was established for other groups of critically ill patients in broad age ranges. Further research is needed to understand this favorable association in young critically ill patients with COVID-19.

Sustained Cytotoxic Response of Peripheral Blood Mononuclear Cells from Unvaccinated Individuals Admitted to the ICU Due to Critical COVID-19 Is Essential to Avoid a Fatal Outcome.

The main objective of this study was to determine the influence of the cytotoxic activity of peripheral blood mononuclear cells (PBMCs) on the outcome of unvaccinated individuals with critical COVID-19 admitted to the ICU. Blood samples from 23 individuals were collected upon admission and then every 2 weeks for 13 weeks until death (Exitus group) (n = 13) or discharge (Survival group) (n = 10). We did not find significant differences between groups in sociodemographic, clinical, or biochemical data that may influence the fatal outcome. However, direct cellular cytotoxicity of PBMCs from individuals of the Exitus group against pseudotyped SARS-CoV-2-infected Vero E6 cells was significantly reduced upon admission (-2.69-fold; p = 0.0234) and after 4 weeks at the ICU (-5.58-fold; p = 0.0290), in comparison with individuals who survived, and it did not improve during hospitalization. In vitro treatment with IL-15 of these cells did not restore an effective cytotoxicity at any time point until the fatal outcome, and an increased expression of immune exhaustion markers was observed in NKT, CD4+, and CD8+ T cells. However, IL-15 treatment of PBMCs from individuals of the Survival group significantly increased cytotoxicity at Week 4 (6.18-fold; p = 0.0303). Consequently, immunomodulatory treatments that may overcome immune exhaustion and induce sustained, efficient cytotoxic activity could be essential for survival during hospitalization due to critical COVID-19.

Risk Factors for Candidemia in Intensive Care Unit: A Matched Case Control Study from North-Western India.

Candidemia is one of the significant causes of mortality amongst critically ill patients in Intensive Care Units (ICUs). This study aimed to assess the incidence, risk factors and antifungal susceptibility pattern in candidemia cases admitted in ICU in a tertiary care hospital in Jaipur, Rajasthan from June 2021 to November 2021. Candida species isolated from blood culture of clinically suspected patients of sepsis were defined as candidemia cases. Blood culture and antifungal susceptibility testing were performed as per standard laboratory protocol. Analyses of risk factors was done between candidemia cases and matched controls in a ratio of 1 : 3. Forty-six candidemic cases and 150 matched controls were included in the study. C. tropicalis was the most prevalent species (22/46; 48%) followed by C. auris (8/46; 17%) and C. albicans (7/46; 15%). Candida species showed good sensitivity to echinocandins (97%) followed by amphotericin B (87%) and voriconazole (80%). In multivariate analysis, longer stay in ICU, presence of an indwelling device, use of immunosuppressive drugs and positive SARS-CoV-2 infection were associated with increased risk of candidemia. The constant evaluation of risk factors is required as prediction of risks associated with candidemia may help to guide targeted preventive measures with reduced morbidity and mortality.

The Impact of Comorbidities and Obesity on the Severity and Outcome of COVID-19 in Hospitalized Patients-A Retrospective Study in a Hungarian Hospital.

Patients with comorbidities and obesity are more likely to be hospitalized with coronavirus disease 2019 (COVID-19), to have a higher incidence of severe pneumonia and to also show higher mortality rates. Between 15 March 2020 and 31 December 2021, a retrospective, single-center, observational study was conducted among patients requiring hospitalization for COVID-19 infection. Our aim was to investigate the impact of comorbidities and lifestyle risk factors on mortality, the need for intensive care unit (ICU) admission and the severity of the disease among these patients. Our results demonstrated that comorbidities and obesity increased the risk for all investigated endpoints. Age over 65 years and male sex were identified as independent risk factors, and cardiovascular diseases, cancer, endocrine and metabolic diseases, chronic kidney disease and obesity were identified as significant risk factors. Obesity was found to be the most significant risk factor, associated with considerable odds of COVID-19 mortality and the need for ICU admission in the under-65 age group (aOR: 2.95; p < 0.001 and aOR: 3.49, p < 0.001). In our study, risk factors that increased mortality and morbidity among hospitalized patients were identified. Detailed information on such factors may support therapeutic decision making, the proper targeting of vaccination campaigns and the effective overall management of the COVID-19 epidemic, hence reducing the burden on the healthcare system.

Prevention of acquired invasive fungal infection with decontamination regimen in mechanically ventilated ICU patients: a pre/post observational study.

BACKGROUND: Invasive fungal infections acquired in the intensive care unit (AFI) are life-threating complications of critical illness. However, there is no consensus on antifungal prophylaxis in this setting. Multiple site decontamination is a well-studied prophylaxis against bacterial and fungal infections. Data on the effect of decontamination regimens on AFI are lacking. We hypothesised that multiple site decontamination could decrease the rate of AFI in mechanically ventilated patients. METHODS: We conducted a pre/post observational study in 2 ICUs, on adult patients who required mechanical ventilation for >24 h. During the study period, multiple-site decontamination was added to standard of care. It consists of amphotericin B four times daily in the oropharynx and the gastric tube along with topical antibiotics, chlorhexidine body wash and nasal mupirocin. RESULTS: In 870 patients, there were 27 AFI in 26 patients. Aspergillosis accounted for 20/143 of ventilator-associated pneumonia and candidemia for 7/75 of ICU-acquired bloodstream infections. There were 3/308 (1%) patients with AFI in the decontamination group and 23/562 (4%) in the standard-care group (p = 0.011). In a propensity-score matched analysis, there were 3/308 (1%) and 16/308 (5%) AFI in the decontamination group and the standard-care group respectively (p = 0.004) (3/308 vs 11/308 ventilator-associated pulmonary aspergillosis, respectively [p = 0.055] and 0/308 vs 6/308 candidemia, respectively [p = 0.037]). CONCLUSION: Acquired fungal infection is a rare event, but accounts for a large proportion of ICU-acquired infections. Our study showed a preventive effect of decontamination against acquired fungal infection, especially candidemia.Take home messageAcquired fungal infection (AFI) incidence is close to 4% in mechanically ventilated patients without antifungal prophylaxis (3% for pulmonary aspergillosis and 1% for candidemia).Aspergillosis accounts for 14% of ventilator-associated pneumonia and candidemia for 9% of acquired bloodstream infections.Immunocompromised patients, those infected with SARS-COV 2 or influenza virus, males and patients admitted during the fall season are at higher risk of AFI.Mechanically ventilated patients receiving multiple site decontamination (MSD) have a lower risk of AFI.

Helmet CPAP bundle: A narrative review of practical aspects and nursing interventions to improve patient's comfort.

BACKGROUND: The application of Continuous Positive Airway Pressure (CPAP) with a helmet is increasing around the world, both inside and outside of the intensive care unit. Current published literature focus's on indications, contraindications and efficiency of Helmet CPAP in differing clinical scenarios. Few reports, summarising the available knowledge concerning technical characteristics and nursing interventions to improve patient's comfort, are available. AIM: To identify the crucial technical aspects in managing patients undergoing Helmet-CPAP, and what nursing interventions may increase comfort. METHODS: A narrative literature review of primary research published 2002 onwards. The search strategy comprised an electronic search of three bibliographic databases (Pubmed, Embase, CINAHL). RESULTS: Twenty-three studies met the inclusion criteria and were included in the review. Research primarily originated from Italy. Nine key themes emerged from the review: gas flow management, noise reduction, impact of gas flow and HME filters on delivered FiO2, filtration of exhaled gas / environmental protection, PEEP monitoring, airway pressure monitoring, active humidification of gas flow, helmet fixation and tips to implement awake prone position during Helmet-CPAP. CONCLUSIONS: A Helmet-CPAP check-list has been made of nine key interventions based on the available evidence regarding system set up, monitoring and management. Implementation of this check-list may help nurses and physicians to increase the comfort of patients treated with Helmet CPAP and enhance their compliance with long-term treatment.

Nursing workload in oncological intensive care in the COVID-19 pandemic: retrospective cohort.

OBJECTIVE: To compare the nursing workload in an oncology intensive care unit according to the condition of COVID-19 infection. METHOD: A retrospective cohort study. The Nursing Activities Score was used to measure the workload and document analysis for data extraction. The medical records were divided into a group of patients with COVID-19 and another group of patients without the infection. RESULTS: The values of the Nursing Activities Score were not different depending on the sociodemographic variables, but the average of this score was statistically different depending on whether the patient had the diagnosis of COVID-19 or not, being higher in those who had the disease. CONCLUSION: It was proved that the nursing workload is high in the context of the oncology intensive care unit. However, COVID-19 increased this score even more, with the Nursing Activities Score being an important tool to size the team in this context.

Palliative Care in a Pandemic: A Multicenter Cohort of Critically Ill Patients with Coronavirus Disease 2019.

Background: Trends in mortality, palliative care, and end-of-life care among critically ill patients with coronavirus disease 2019 (COVID-19) remain underreported. We hypothesized that use of palliative care and end-of-life care would increase over time, because improved understanding of the disease course and prognosis would potentially lead to more frequent use of these services. Patients and Methods: Adult patients with severe acute respiratory syndrome coronavirus 2 infection (SARS-CoV-2) during pandemic wave one (W1: March 2020 to September 2020) or wave two (W2: October 2020 to June 2021) admitted to an intensive care unit (ICU) in one of six northeastern U.S. hospitals were identified and clinical characteristics obtained. Vaccination data were unavailable. Outcomes of interest included mortality, palliative care consultation, and any end-of-life care (including hospice and comfort care). Results: There were 1,904 critically ill patients with COVID-19: 817 (42.9%) in W1 and 1,087 (57.1%) in W2. Patients received mechanical ventilation more often during W1 than W2 (52.9% vs. 46.3%; p = 0.004), with no difference in ICU or hospital length of stay between waves. Mortality between W1 and W2 was similar (31.2% vs. 30.9%; p = 0.888). There was no difference in use of palliative care or any end-of-life care between waves. Patients who died during W2 versus W1 were more likely to have received both mechanical ventilation (77.1% vs. 67.1%; p = 0.007) and palliative care services (52.1% vs. 41.2%; p = 0.009). However, logistic regression adjusted for demographics, baseline comorbid disease, and clinical characteristics showed no difference in mortality (odds ratio [OR], 1.15; 95% confidence interval [CI], 0.89-1.48), palliative care (OR, 1.08; 95% CI, 0.84-1.40), or any end-of-life care (OR, 1.05; 95% CI, 0.82-1.34) in W2 versus W1. Conclusions: Mortality among critically ill patients with COVID-19 has remained constant across two pandemic waves with no change in use of palliative or end-of-life care.

Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19.

Multi-state models are used to describe how individuals transition through different states over time. The distribution of the time spent in different states, referred to as 'length of stay', is often of interest. Methods for estimating expected length of stay in a given state are well established. The focus of this paper is on the distribution of the time spent in different states conditional on the complete pathway taken through the states, which we call 'conditional length of stay'. This work is motivated by questions about length of stay in hospital wards and intensive care units among patients hospitalised due to Covid-19. Conditional length of stay estimates are useful as a way of summarising individuals' transitions through the multi-state model, and also as inputs to mathematical models used in planning hospital capacity requirements. We describe non-parametric methods for estimating conditional length of stay distributions in a multi-state model in the presence of censoring, including conditional expected length of stay (CELOS). Methods are described for an illness-death model and then for the more complex motivating example. The methods are assessed using a simulation study and shown to give unbiased estimates of CELOS, whereas naive estimates of CELOS based on empirical averages are biased in the presence of censoring. The methods are applied to estimate conditional length of stay distributions for individuals hospitalised due to Covid-19 in the UK, using data on 42,980 individuals hospitalised from March to July 2020 from the COVID19 Clinical Information Network.

Correlation of important prognostic factors and CT scores in invasive and non-invasive ventilation of COVID-19 patients.

BACKGROUND: Intensive care workers received the largest share of the COVID-19 pandemic, which caused nightmares to the whole world. In COVID-19 pneumonia cases which had high mortality rates, many prognostic factors and laboratory examinations were tried to evaluate the clinical severity quickly and accurately.This study was planned to investigate a correlation between the initially ventilation strategy and major prognostic parameters and CT scores in patients admitted to intensive care unit (ICU). METHODS: In our study, we reviewed 50 consecutive non-invasive mv and 50 consecutive invasive mv treatment of COVID-19 pneumonia patients between March 23, 2020,and May 23, 2020, in the ICUs of our hospital. Patients who were divided into twogroups (non-invasive mechanical ventilation [NIMV] and invasive mechanical ventilation [IMV]) as an initial ventilation strategy according to clinical severity and P/F ratios were evaluated comparatively; demographic data, admission and lowest P/F ratios, admission and highest SOFA scores, comorbidity status, scores on CT at diagnosis, length of ICU stays, hospitalization periods, and mortality rates were examined. RESULTS: About 85% of all patients were 46 years and older. No significant difference was found in terms of gender and comorbidity status. The lowest P/F ratio was significantly lower in IMV group. The admission and highest SOFA values were higher in the IMV group. There was no significant difference between the CT scores and the number of lobes involved. The mortality rate in the IMV group was significantly higher. CONCLUSION: Patients who started treatment with NIMV had relatively low poor prognostic factors, their mortality was lower. However, the total CT score at diagnosis was expected to be higher in those who were performed IMV, no significant difference was found in our study. We concluded that the severity classification of the patients cannot be made according to CT scores. CT results should be evaluated as a whole according to the patient's clinic, predisposing factors, and response to treatment.

Efficacy of Tocilizumab in Management of COVID-19 Patients Admitted to Intensive Care Units: A Multicenter Retrospective Cohort Study.

Background and Objectives: Mortality and illness due to COVID-19 have been linked to a condition known as cytokine release syndrome (CRS) that is characterized by excessive production of inflammatory cytokines, particularly interleukin-6 (IL-6). Tocilizumab (TCZ), a recent IL-6 antagonist, has been redeployed as adjunctive treatment for CRS remission in COVID-19 patients. This study aimed to determine the efficacy of Tocilizumab on patients' survival and the length of stay in hospitalized COVID-19 patients admitted to the intensive care unit. Methods: Between January 2021 and June 2021, a multicenter retrospective cohort study was carried out in six tertiary care hospitals in Egypt's governorate of Giza. Based on the use of TCZ during ICU stay, eligible patients were divided into two groups (control vs. TCZ). In-hospital mortality was the main outcome. Results: A total of 740 patient data records were included in the analysis, where 630 patients followed the routine COVID-19 protocol, while 110 patients received TCZ, need to different respiratory support after hospitalization, and inflammatory mediators such as C-reactive protein (CRP), ferritin, and Lactate dehydrogenase (LDH) showed a statistically significant difference between the TCZ group and the control group. Regarding the primary outcome (discharged alive or death) and neither the secondary outcome (length of hospital stay), there is no statistically significant difference between patients treated with TCZ and the control group. Conclusions: Our cohort of patients with moderate to severe COVID-19 did not assert a reduction in the risk of mortality or the length of stay (LOS) after TCZ administration.

The hypoxia-age-shock index at triage to predict the outcomes of Covid-19 patients.

STUDY OBJECTIVE: The coronavirus disease 2019 (COVID-19) outbreak has caused a severe burden on medical professionals, as the rapid disposition of patients is important. Therefore, we aimed to develop a new clinical assessment tool based on the shock index (SI) and age-shock index (ASI). We proposed the hypoxia-age-shock index (HASI) and determined the usability of triage for COVID-19 infected patients in the first scene. METHODS: The predictive power for three indexes on mortality, intensive care unit (ICU) admission, and endotracheal intubation rate was evaluated using the receiver operating curve (ROC). We used DeLong's method for comparing the ROCs. RESULTS: The area under the curve (AUC) for ROC on mortality for SI, ASI, and HASI were 0.546, 0.771, and 0.773, respectively. The AUC on ICU admission mortality for SI, ASI, and HASI were 0.581, 0.700, and 0.743, respectively. The AUC for intubation for SI, ASI, and HASI were 0.592, 0.708, and 0.757, respectively. The AUC differences between HASI and SI showed statistically significant (P = 0.001) results on mortality, ICU admission, and intubation. Additionally, statistically significant results were found for the AUC difference between the HASI and ASI on ICU admission and intubation (P = 0.001 and P = 0.004, respectively). CONCLUSION: HASI can provide a better prediction compared to ASI on ICU admission and endotracheal intubation. HASI was more sensitive in mortality, ICU admission, and intubation prediction than the ASI.

[Experience Caring for an Acute Lymphoblastic Leukemia Patient With COVID-19 in the ICU].

This article describes the author's experience providing care in the ICU to a patient with acute lymphoblastic leukemia who had contracted COVID-19. The period of care spanned from June 29 to July 12, 2021. Data were collected during direct care, observations, and interviews and using medical record reviews. During the course of care, supportive care, bundle care, and other infection control measures were provided. The patient was monitored and tracked regularly for infection-related indicators, which successfully mitigated the impact of the infection and prevented secondary bacterial infections. Respiratory care measures such as assistance with Q3H awake prone positioning on the bed were provided. Also, the safety and smoothness of the ventilator pipeline and catheter when prone were confirmed and the setting of the ventilator was adjusted based on the blood oxygen concentration and gas analysis. These measures improved the patient's oxygenation, allowing their successful removal from the ventilator. Delayed chemotherapy affects the survival rate of patients with acute lymphoblastic leukemia as well as improves their physical and emotional status. Using patient-centered communication skills, empathizing with the patient's negative feelings, encouraging and assisting their participation in self-care, and helping facilitate prescribed hematologist-oncologist care, the author helped increase the patient's perceived self-control and positive attitudes and effectively alleviated their hopelessness regarding their current situation. Several recommendations arise from this care experience. Social media apps may be used to create virtual support groups for patients comprising significant relatives and friends to better support patients in quarantine. Also, a health education brochure addressing the latest COVID-19 disease, treatment, and care information may be given to patients with COVID-19 upon hospital admission to reduce their uncertainties and improve their self-care awareness to maximize their ability to successfully navigate the long quarantine treatment process.

Analyzing the Effects of Family Presence and Visitation Restrictions During the COVID-19 Pandemic Among Nurse Leaders and Non-Nurse Leaders.

AIM: This analysis seeks to identify the effect of family presence and visitation during COVID-19 pandemic among nurses and nurse leaders. BACKGROUND: Visitation restrictions were widespread during the initial months of the COVID-19 pandemic and were a potential source of distress for nurses. Few studies have examined sources of distress, such as visitation restrictions, among nurse leaders and non-nurse leaders. METHODS: Secondary analysis was performed using a national survey of nurses conducted by the American Nurses Foundation. RESULTS: More nurse leaders than nonleaders reported that nurses were involved in policy decisions/discussions and that visitation restrictions created additional burdens. There was similar level of agreement among nurse leaders and nonleaders that restrictions were not in the best interest of the patients. Many nurses reported the restrictions impacted their own well-being. CONCLUSION: Visitation restrictions were a likely source of distress. Improvements to communication, planning, and transparency should be considered in preparation for future emergencies that may require visitation restrictions.

The Dynamics of the Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios Predict Progression to Septic Shock and Death in Patients with Prolonged Intensive Care Unit Stay.

Background and objectives: The prognoses of patients experiencing a prolonged stay in the intensive care unit (ICU) are often significantly altered by hospital-acquired infections (HAIs), the early detection of which might be cumbersome. The aim of this study was to investigate the roles of the neutrophil-to-lymphocyte (NLR), derived-NRL (d-NLR), platelet-to-lymphocyte (PLR), and lymphocyte-to-C-reactive protein (LCR) ratios in predicting the progression to septic shock and death. Materials and Methods: A retrospective analysis of a consecutive series of ninety COVID-19 patients with prolonged hospitalization (exceeding 15 days) admitted to the ICU was conducted. The prevalence of culture-proven HAIs throughout their hospital stays was documented. NLR, dNLR, PLR, and LCR were recorded on admission, day 7, and day 14 to assess their discriminative prowess for detecting further progression to septic shock or death. Results: The prevalence of HAIs was 76.6%, 50% of patients met the criteria for septic shock, and 50% died. The median time to the first positive culture was 13.5 days and 20.5 days for developing septic shock. Mechanical ventilation was a key contributing factor to HAI, septic shock, and mortality. On admission and day 7 NLR, dNLR, PLR, and LCR values had no prognostic relevance for events occurring late during hospitalization. However, day-14 NLR, dNLR, and PLR were independent predictors for progression to septic shock and mortality and have shown good discriminative capabilities. The AUCs for septic shock were 0.762, 0.764, and 0.716, while the values for predicting in-hospital death were 0.782, 0.778, and 0.758, respectively. Conclusions: NLR, dNLR, and PLR are quick, easy-to-use, cheap, effective biomarkers for the detection of a more severe disease course, of the late development of HAIs, and of the risk of death in critically ill patients requiring a prolonged ICU stay.