Arrhythmogenesis and COVID-19.

The ongoing coronavirus infection-2019 (COVID-19) global pandemic has had devastating impacts on the global population since 2019. Cardiac complications are a well-documented sequala of COVID-19, with exposed patients experiencing complications such as myocardial infarction, myocarditis, and arrythmias. This article aims to review prominent literature regarding COVID-19 and its link with arrhythmias, as well as to discuss some of the possible mechanisms by which arrhythmogenesis may occur in patients with COVID-19.

[Determining factors of survival in patients with severe coronavirus infection admitted to intensive care unit in the third and fourth waves of COVID-19 pandemic]. / A kórházi túlélést meghatározó tényezok a COVID­19-járvány 3. és 4. hulláma idején súlyos koronavírus-fertozéssel intenzív osztályra felvett betegekben.

INTRODUCTION: During COVID-19 pandemic, a high mortality rate (20-60%) of patients admitted to intensive care unit has been observed. Identification of risk factors can support the understanding of disease pathophysiology and the recognition of vulnerable patients, prognostication and selection of appropriate treatment. OBJECTIVE: Beyond characterisation of a local, critically ill COVID-19 population, analysis of the associations between demographic/clinical data and patient survival were investigated. METHOD: Retrospective, observational study has been performed by recording demographic, clinical data and outcome parameters on patients with severe respiratory insufficiency caused by COVID-19. RESULTS: 88 patients were enrolled. Median age was 65 years and 53% of patients were male, median BMI was 29 kg/m2. Noninvasive ventilation was used in 81%, endotracheal intubation in 45%, prone positioning in 59% of all cases. Vasopressor treatment was introduced in 44%, secondary bacterial infection was detected in 36% of all cases. Hospital survival rate was 41%. Risk factors for survival and the effect of evolving treatment protocols were analyzed with multivariable regression model. A better survival chance was associated to younger age, lower APACE II score and non-diabetic status. Effect of the treatment protocol was found to be significant (OR = 0.18 [95% CI: 0.04-0.76], p = 0.01976) after controlling for APACHE II, BMI, sex, two comorbidities and two pharmaceutical agents (tocilizumab, remdesivir). CONCLUSION: Survival rate was favourable if patients were younger, with lower APACHE II score and if non-diabetic. Low initial survival rate (15%) significantly improved (49%) in association with the protocol changes. We would like to facilitate Hungarian centres to publish their data and initiate a nationwide database to improve the management of severe COVID disease. Orv Hetil. 2023; 164(17): 651-658.

From Strict Bedrest to Early Mobilization: A History of Physiotherapy in the Intensive Care Unit.

Critically ill patients are at risk of post-intensive care syndrome, including physical, cognitive, and psychological sequelae. Physiotherapists are rehabilitation experts who focus on restoring strength, physical function, and exercise capacity. Critical care has evolved from a culture of deep sedation and bed rest to one of awakening and early mobility; physiotherapeutic interventions have developed to address patients' rehabilitation needs. Physiotherapists are assuming more prominent roles in clinical and research leadership, with opportunities for wider interdisciplinary collaboration. This paper reviews the evolution of critical care from a rehabilitation perspective, highlights relevant research milestones, and proposes future opportunities for improving survivorship outcomes.

[Quality of life at 3 months of COVID-19 patients discharged from the intensive care unit during the COVID-19 pandemic in Guinea]. / Qualité de vie àtrois mois des patients sortis guéris du COVID-19 de l'unité de soins intensifs au cours de la pandémie de COVID-19 en Guinée.

Introduction: in sub-Saharan Africa, the impact of intensive care unit (ICU) hospitalization of COVID patients is not at all known in terms of quality of life because it is very poorly documented. The aim of this study was to describe the quality of life at three months of patients who had been in the ICU. Methods: we conducted a monocentric prospective cohort study over a 6-month period. Results: hundred and three (103) patients participated in the survey out of 123 patients discharged from the ICU during our study period, with a participation rate of 85%. The average length of stay in the ICU was 12 days with extremes of 2 and 36 days. The mean duration of oxygen therapy was 12±10 days. The assessment of quality of life with the SF-36 at 3 months after discharge from the intensive care unit showed impairment in eight domains, the most important of which were the emotional domain with a mean score of 57.6±44.6, the social functioning domain with a score of 60.77±24.07 and the vitality domain, which was 66.2±21.6. The global evaluation of the two main dimensions of the SF-36 showed a deficiency in the psychological dimension with a mean score of 64 with extremes of 12 and 90. This evaluation also showed an impairment of the physical dimension with a mean score of 70 with extremes of 20 and 97. Conclusion: our study showed a significant decrease in the quality of life of COVID-19 patients discharged from the intensive care unit.

Moral distress and positive experiences of ICU staff during the COVID-19 pandemic: lessons learned.

BACKGROUND: The COVID-19 pandemic causes moral challenges and moral distress for healthcare professionals and, due to an increased work load, reduces time and opportunities for clinical ethics support services. Nevertheless, healthcare professionals could also identify essential elements to maintain or change in the future, as moral distress and moral challenges can indicate opportunities to strengthen moral resilience of healthcare professionals and organisations. This study describes 1) the experienced moral distress, challenges and ethical climate concerning end-of-life care of Intensive Care Unit staff during the first wave of the COVID-19 pandemic and 2) their positive experiences and lessons learned, which function as directions for future forms of ethics support. METHODS: A cross-sectional survey combining quantitative and qualitative elements was sent to all healthcare professionals who worked at the Intensive Care Unit of the Amsterdam UMC - Location AMC during the first wave of the COVID-19 pandemic. The survey consisted of 36 items about moral distress (concerning quality of care and emotional stress), team cooperation, ethical climate and (ways of dealing with) end-of-life decisions, and two open questions about positive experiences and suggestions for work improvement. RESULTS: All 178 respondents (response rate: 25-32%) showed signs of moral distress, and experienced moral dilemmas in end-of-life decisions, whereas they experienced a relatively positive ethical climate. Nurses scored significantly higher than physicians on most items. Positive experiences were mostly related to 'team cooperation', 'team solidarity' and 'work ethic'. Lessons learned were mostly related to 'quality of care' and 'professional qualities'. CONCLUSIONS: Despite the crisis, positive experiences related to ethical climate, team members and overall work ethic were reported by Intensive Care Unit staff and quality and organisation of care lessons were learned. Ethics support services can be tailored to reflect on morally challenging situations, restore moral resilience, create space for self-care and strengthen team spirit. This can improve healthcare professionals' dealing of inherent moral challenges and moral distress in order to strengthen both individual and organisational moral resilience. TRIAL REGISTRATION: The trial was registered on The Netherlands Trial Register, number NL9177.

The effects of electronic nursing handover on patient safety in the general (non-COVID-19) and COVID-19 intensive care units: a quasi-experimental study.

BACKGROUND: The unprecedented increase in the nurses' workload is one of the issues affecting the quality and safety of patient care in the Intensive Care Units (ICUs). The electronic nursing handover can share sufficient, relevant, and necessary data about patients with greater efficiency and accuracy and prevent their information from being deleted. Therefore, this study aimed to determine and compare the effect of the Electronic Nursing Handover System (ENHS) on patient safety in General ICU and COVID-19 ICU. METHOD: This is a quasi-experimental study conducted during an 8-month period from 22 to 2021 to 26 June 2022 using a test-retest design. A total of 29 nurses working in the General and COVID-19 ICUs participated in this study. Data were collected using a five-part questionnaire consisting of demographic information, handover quality, handover efficiency, error reduction, and handover time. Data analysis was conducted in IBM SPSS Statistics for Windows, version 26 (IBM Corp., Armonk, N.Y., USA) using the chi-squared test, paired t-test, and Analysis of Covariance (ANCOVA). RESULTS: The results showed that the mean scores of handover quality and efficiency, reduction of clinical error, and handover time in the electronic handover were significantly higher than those obtained in the paper-based method. The results showed that the mean score of patient safety in the COVID-19 ICU was 177.40 ± 30.416 for the paper-based handover and 251.40 ± 29.049 for the electronic handover (p = .0001). Moreover, the mean score of patient safety in the general ICU was 209.21 ± 23.072 for the paper-based handover and 251.93 ± 23.381 for the electronic one (p = .0001). CONCLUSION: The use of ENHS significantly improved the quality and efficiency of shift handover, reduced the possibility of clinical error, saved handover time, and finally increased patient safety compared to the paper-based method. The results also showed the positive perspectives of ICU nurses toward the positive effect of ENHS on the patient safety improvement.

[Informativeness estimation for the main clinical and laboratory parameters in patients with severe COVID-19].

AIM: To conduct a retrospective assessment of the clinical and laboratory data of patients with severe forms of COVID-19 hospitalized in the intensive care and intensive care unit, in order to assess the contribution of various indicators to the likelihood of death. MATERIALS AND METHODS: A retrospective assessment of data on 224 patients with severe COVID-19 admitted to the intensive care unit was carried out. The analysis included the data of biochemical, clinical blood tests, coagulograms, indicators of the inflammatory response. When transferring to the intensive care units (ICU), the indicators of the formalized SOFA and APACHE scales were recorded. Anthropometric and demographic data were downloaded separately. RESULTS: Analysis of obtained data, showed that only one demographic feature (age) and a fairly large number of laboratory parameters can serve as possible markers of an unfavorable prognosis. We identified 12 laboratory features the best in terms of prediction: procalcitonin, lymphocytes (absolute value), sodium (ABS), creatinine, lactate (ABS), D-dimer, oxygenation index, direct bilirubin, urea, hemoglobin, C-reactive protein, age, LDH. The combination of these features allows to provide the quality of the forecast at the level of AUC=0.85, while the known scales provided less efficiency (APACHE: AUC=0.78, SOFA: AUC=0.74). CONCLUSION: Forecasting the outcome of the course of COVID-19 in patients in ICU is relevant not only from the position of adequate distribution of treatment measures, but also from the point of view of understanding the pathogenetic mechanisms of the development of the disease.

Risk Factors in HIV-1 Positive Patients on the Intensive Care Unit: A Single Center Experience from a Tertiary Care Hospital.

HIV-positive patients with acquired immunodeficiency syndrome (AIDS) often require treatment on intensive care units (ICUs). We aimed to present data from a German, low-incidence region cohort, and subsequently evaluate factors measured during the first 24 h of ICU stay to predict short- and long-term survival, and compare with data from high-incidence regions. We documented 62 patient courses between 2009 and 2019, treated on a non-operative ICU of a tertiary care hospital, mostly due to respiratory deterioration and co-infections. Of these, 54 patients required ventilatory support within the first 24 h with either nasal cannula/mask (n = 12), non-invasive ventilation (n = 16), or invasive ventilation (n = 26). Overall survival at day 30 was 77.4%. While ventilatory parameters (all p < 0.05), pH level (c/o 7.31, p = 0.001), and platelet count (c/o 164,000/µL, p = 0.002) were significant univariate predictors of 30-day and 60-day survival, different ICU scoring systems, such as SOFA score, APACHE II, and SAPS 2 predicted overall survival (all p < 0.001). Next to the presence or history of solid neoplasia (p = 0.026), platelet count (HR 6.7 for <164,000/µL, p = 0.020) and pH level (HR 5.8 for <7.31, p = 0.009) remained independently associated with 30-day and 60-day survival in multivariable Cox regression. However, ventilation parameters did not predict survival multivariably.

Targeting CMV Reactivation to Optimize Care for Critically Ill COVID-19 Patients: A Review on the Therapeutic Potential of Antiviral Treatment.

Cytomegalovirus (CMV) reactivation has been linked to adverse clinical outcomes in critically ill patients, with emerging evidence suggesting a potential connection with severe COVID-19. Mechanisms driving this association may include primary lung injury, amplification of systemic inflammation, and secondary immunosuppression. Diagnostic challenges in detecting and assessing CMV reactivation necessitate a comprehensive approach to improve accuracy and inform treatment decisions. Currently, there is limited evidence on the efficacy and safety of CMV pharmacotherapy in critically ill COVID-19 patients. Although insights from non-COVID-19 critical illness studies suggest a potential role for antiviral treatment or prophylaxis, the risks and benefits must be carefully balanced in this vulnerable patient population. Understanding the pathophysiological role of CMV in the context of COVID-19 and exploring the advantages of antiviral treatment are crucial for optimizing care in critically ill patients. This review provides a comprehensive synthesis of available evidence, emphasizing the need for additional investigation to establish the role of CMV treatment or prophylaxis in the management of severe COVID-19 and to develop a framework for future research on this topic.

Clinical and microbiological patterns in critically ill patients with catheter-associated UTI: A report from Iran.

INTRODUCTION: Catheter-associated urinary tract infections (CAUTIs) are among the most common nosocomial infections with different clinical and microbiological characteristics. We studied these characteristics in critically ill patients. METHODOLOGY: This research was a cross-sectional study conducted on intensive care unit (ICU) patients with CAUTI. Patients' demographic and clinical information and laboratory data, including causative microorganisms and antibiotic susceptibility tests, were recorded and analyzed. Finally, the differences between the patients who survived and died were compared. RESULTS: After reviewing 353 ICU cases, 80 patients with CAUTI were finally included in the study. The mean age was 55.9 ± 19.1 years, 43.7% were male and 56.3% were female. The mean length of infection development since hospitalisation and hospital stay were 14.7 (3-90) and 27.8 (5-98) days, respectively. The most common symptom was fever (80%). The microbiological identification showed that the most isolated microorganisms were Multidrug-resistant (MDR) Enterobacteriaceae (75%), Pseudomonas aeruginosa (8.8%), Gram-positive uropathogens (8.8%) and Acinetobacter baumannii (5%). Fifteen patients (18.8%) died among whom infections with A. baumannii (75%) and P. aeruginosa (57.1%) were associated with more death (p = 0.005). CONCLUSIONS: Although A. baumannii and P. aeruginosa can be the most important pathogens for death, MDR Enterobacteriaceae are still a serious concern as causes of CAUTIs.

Thinking Clearly: The History of Brain Dysfunction in Critical Illness.

Brain dysfunction during critical illness (ie, delirium and coma) is extremely common, and its lasting effect has only become increasingly understood in the last two decades. Brain dysfunction in the intensive care unit (ICU) is an independent predictor of both increased mortality and long-term impairments in cognition among survivors. As critical care medicine has grown, important insights regarding brain dysfunction in the ICU have shaped our practice including the importance of light sedation and the avoidance of deliriogenic drugs such as benzodiazepines. Best practices are now strategically incorporated in targeted bundles of care like the ICU Liberation Campaign's ABCDEF Bundle.

Statins in hospitalized COVID-19 patients: A systematic review and meta-analysis of randomized controlled trials.

This systematic review and meta-analysis aimed to determine the efficacy of statins in hospitalized patients with coronavirus disease-2019 (COVID-19). A systematic search was made of PubMed, Embase, Cochrane Library, and clinicaltrials.gov, without language restrictions. Randomized controlled trials (RCTs) on treatment of COVID-19 with statins, compared with placebo or standard of care, were reviewed. Seven RCTs (enrolling 1830 participants) met the inclusion criteria. There was no statistically significant difference in all-cause mortality (risk ratio [RR]: 0.92, 95% confidence interval [CI]: 0.75-1.13), length of hospital stay (weighted mean difference: -0.21 days, 95% CI: -1.01 to 0.59 days), intensive care unit (ICU) admission (RR: 1.84, 95% CI: 0.45-7.55), and mechanical ventilation (RR: 1.09, 95% CI: 0.70-1.70) between the two groups. Statins failed to reduce mortality, ICU admission, mechanical ventilation, and length of stay in hospitalized patients with COVID-19. Statins probably should not be used routinely in COVID-19 patients.

A novel scale based on biomarkers associated with COVID-19 severity can predict the need for hospitalization and intensive care, as well as enhanced probabilities for mortality.

Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson's correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87-0.94; 0.96 CI 0.94-0.98; 0.96 CI 0.94-0.98; all with p < 0.0001) and specificities (0.74 CI 0.62-0.83; 0.92 CI 0.87-0.96 and 0.91 CI 0.86-0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php.

Ulinastatin Add-on to Standard of Care in Critically Ill COVID-19 Patients: A Multicenter, Retrospective Study.

AIM: To assess the impact on 30-day mortality with ulinastatin (ULI) used as add-on to standard of care (SOC) compared to SOC alone in coronavirus disease (COVID-19) patients requiring admission to the intensive care unit (ICU). MATERIALS AND METHODS: In this multicentric, retrospective study, we collected data on clinical, laboratory, and outcome parameters in patients with COVID-19. Thirty-day mortality outcome was compared among patients treated with SOC alone and ULI used as add-on to SOC. Odds ratio (OR) and 95% confidence intervals (CI) were determined to identify the predictors of 30-day mortality. RESULTS: Ninety-four patients were identified and enrolled in both groups with comparable baseline parameters. On univariate analysis, 30-day mortality was significantly lower in ULI plus SOC group than SOC alone group (36.2 vs 51.1%, OR 0.54, 95% CI 0.30-0.97, p = 0.040). The effect on mortality was more pronounced in patients who did not require intubation (10.9 vs 34.0%, OR 0.24, 95% CI 0.09-0.66, p = 0.006) and with early administration (within 72 hours of admission) of ULI (30.7 vs 57.9%, OR 0.32, 95% CI 0.11-0.91, p = 0.032). On multivariate analysis, only intubation predicted mortality (adjusted OR 10.13, 95% CI 3.77-27.25, p<0.0001) and the effect of ULI on survival was not significant (adjusted OR 0.58, 95% CI 0.22-1.52, p = 0.270). CONCLUSION: Given the limited options for COVID-19 patients treated in ICU, early administration of ULI may be helpful, especially in patients not requiring intubation to improve the outcomes. Further, a large, randomized study is warranted to confirm these findings.

Slack in the infrastructure of intensive care units: resilience management in the post-pandemic era.

BACKGROUND: Although slack is an asset to resilient hospitals, it is usually explicitly discussed only in terms of the quantity and quality of beds and staff. This paper expands this view by addressing slack in four infrastructures of intensive care units (ICUs) (physical space, electricity supply, oxygen supply, and air treatment) during the COVID pandemic. METHODS: The study occurred in a leading private hospital in Brazil, aiming at the identification of slack in four units originally designed as ICUs and two units adapted as ICUs. Data collection was based on 12 interviews with healthcare professionals, documents, and comparison between infrastructures and regulatory requirements. RESULTS: Twenty-seven instantiations of slack were identified, with several indications that the adapted ICUs did not provide infrastructure conditions as good as the designed ones. Findings gave rise to five propositions addressing: relationships intra and inter infrastructures; the need for adapted ICUs that match as closely as possible the designed ICUs; the consideration of both clinical and engineering perspectives in design; and the need for the revision of some requirements of the Brazilian regulations. CONCLUSIONS: Results are relevant to both the designers of the infrastructures and to the designers of clinical activities as these must take place in fit-for-purpose workspaces. Top management might also benefit as they are the ultimate responsible for decision-making on whether or not to invest in slack. The pandemic dramatically demonstrated the value of investing in slack resources, creating momentum for this discussion in health services.

The effect of higher protein dosing in critically ill patients with high nutritional risk (EFFORT Protein): an international, multicentre, pragmatic, registry-based randomised trial.

BACKGROUND: On the basis of low-quality evidence, international critical care nutrition guidelines recommend a wide range of protein doses. The effect of delivering high-dose protein during critical illness is unknown. We aimed to test the hypothesis that a higher dose of protein provided to critically ill patients would improve their clinical outcomes. METHODS: This international, investigator-initiated, pragmatic, registry-based, single-blinded, randomised trial was undertaken in 85 intensive care units (ICUs) across 16 countries. We enrolled nutritionally high-risk adults (≥18 years) undergoing mechanical ventilation to compare prescribing high-dose protein (≥2·2 g/kg per day) with usual dose protein (≤1·2 g/kg per day) started within 96 h of ICU admission and continued for up to 28 days or death or transition to oral feeding. Participants were randomly allocated (1:1) to high-dose protein or usual dose protein, stratified by site. As site personnel were involved in both prescribing and delivering protein dose, it was not possible to blind clinicians, but patients were not made aware of the treatment assignment. The primary efficacy outcome was time-to-discharge-alive from hospital up to 60 days after ICU admission and the secondary outcome was 60-day morality. Patients were analysed in the group to which they were randomly assigned regardless of study compliance, although patients who dropped out of the study before receiving the study intervention were excluded. This study is registered with ClinicalTrials.gov, NCT03160547. FINDINGS: Between Jan 17, 2018, and Dec 3, 2021, 1329 patients were randomised and 1301 (97·9%) were included in the analysis (645 in the high-dose protein group and 656 in usual dose group). By 60 days after randomisation, the cumulative incidence of alive hospital discharge was 46·1% (95 CI 42·0%-50·1%) in the high-dose compared with 50·2% (46·0%-54·3%) in the usual dose protein group (hazard ratio 0·91, 95% CI 0·77-1·07; p=0·27). The 60-day mortality rate was 34·6% (222 of 642) in the high dose protein group compared with 32·1% (208 of 648) in the usual dose protein group (relative risk 1·08, 95% CI 0·92-1·26). There appeared to be a subgroup effect with higher protein provision being particularly harmful in patients with acute kidney injury and higher organ failure scores at baseline. INTERPRETATION: Delivery of higher doses of protein to mechanically ventilated critically ill patients did not improve the time-to-discharge-alive from hospital and might have worsened outcomes for patients with acute kidney injury and high organ failure scores. FUNDING: None.

Critical Care 1950 to 2022: Evolution of Medicine, Nursing, Technology, and Design.

Critical care units-designed for concentrated and specialized care-came from multiple parallel advances in medical, surgical, and nursing techniques and training taking advantage of new therapeutic technologies. Regulatory requirements and government policy impacted design and practice. After WWII, medical practice and education promoted further specialization. Hospitals offered newer, more extreme, and specialized surgeries and anesthesia enabled more complex procedures. ICUs developed in the 1950s, providing a recovery room's level of observation and specialized nursing to serve the critically ill, whether medical or surgical.

Clinical characteristics and risk factors associated with COVID-19 mortality in a non-Intensive Care Unit.

Introduction: The Coronavirus disease 2019 caused by a new Coronavirus (SARS-CoV-2) throughout the pandemic period has been characterised by a wide spectrum of clinical manifestations, courses, and outcomes. In particular, most patients with severe or critical symptoms re-quired hospitalization. The demographic and clinical characteristics of patients upon admission to the hospital, as well as pre-existing medical conditions, seem to have affected the clinical out-come. Predictive factors of inauspicious outcome in non-Intensive Care Unit hospitalized patients were investigated. Methods: A retrospective, single-centre, observational study of 239 patients with confirmed COVID-19 disease admitted during the first waves of the pandemic to the Infectious Disease Operative Unit of a hospital in Southern Italy was conducted. Demographic characteristics, under-lying diseases, and clinical, laboratory, and radiological findings were collected from the patient's medical records. Information about in-hospital medications, days of admission, and out-come were also considered. Inferential statistical analysis was performed to evaluate the association between patients' characteristics upon hospital admission and during in-hospital length of stay and death. Results: Mean age was 67.8 ± 15.8 years; 137/239 (57.3%) patients were males, and 176 (73.6%) had at least one comorbidity. More than half of patients (55.3%) suffered from hypertension. The length of stay in hospital was 16.5 ± 9.9 days and mortality rate of 12.55%. In multivariable logistic regression analysis, predictors of mortality of COVID-19 patients included age (OR, 1.09; CI, 1.04-1.15), Chronic Kidney Disease (OR, 4.04; CI, 1.38-11.85), and need of High Flow Oxygen therapy (OR, 18.23; CI, 5.06-65.64). Conclusions: Patients who died in the hospital had shorted length of stay than that of the surviving patients. Older age, pre-existent chronic renal disease and need of supplemental oxygen represented independent predictors of mortality in patients hospitalized in non-Intensive Care Unit with COVID-19. The determination of these factors allows retrospectively a greater understanding of the disease also in comparison with the successive epidemic waves.