Staffing critical care with nurses amid the COVID-19 crisis: Strategies and plans.

AIM: To describe a nursing staffing surge model in critical care units that can be used during a pandemic or crisis. This model may give useful guidance for hospitals or centers that must immediately react in response to the devastating challenges introduced by disease outbreaks. BACKGROUND: During the COVID-19 pandemic, many hospitals were challenged to maintain the quality of care and safe practice in critical care units while accommodating the daily rapidly increasing number of infected cases that needed critical care. The nursing staffing shortage in critical care units and its consequences were among the top issues to deal with. METHOD: This is a descriptive study about our experience in preparing for nursing staffing in critical care as a part of the COVID-19 surge plan. We have used evidence-based strategies to design our team-based model for staffing during the COVID-19 pandemic. RESULTS: The team-based model for staffing during the COVID-19 pandemic had shown success in dealing with the acute shortage of nursing staff in critical care units. We had implemented other additional supportive strategies to help enhance this staffing. CONCLUSION: With the support of available evidence-based resources and on-the-fly preparation and training, we were able to augment the tremendous increase in patient influx during the pandemic using the team-based model. IMPLICATIONS FOR NURSING MANAGEMENT: The team-based approach and other strategies included in this article can help support critical care units with staff during crises. However, we strongly recommend developing a nursing deployment policy that makes staff redeployment and re-allocation smoother, whenever needed.

Deferoxamine in the management of COVID-19 adult patients admitted to ICU: a prospective observational cohort study.

COVID-19 infection is associated with high mortality, and despite extensive studying the scientific society is still working to find a definitive treatment. Some experts postulated a beneficial role of Deferoxamine. Aim: The aim of this study was to compare the outcomes of COVID-19 adult patients admitted to the ICU who received deferoxamine to those who received standard of care. Methods: Prospective observational cohort study, in the ICU of a tertiary referral hospital in Saudi Arabia to compare all-cause hospital mortality between COVID-19 patients who received deferoxamine and standard of care. Results: A total of 205 patients were enrolled, with an average age of 50.1±14.3, 150 patients received standard of care only, and 55 patients received deferoxamine additionally. Hospital mortality was lower in deferoxamine group (25.5 vs. 40.7%, 95% CI=1.3-29.2%; P=0.045). Clinical status score upon discharge was lower in deferoxamine group (3.6±4.3 vs. 6.2±4, 95% CI: 1.4-3.9; P<0.001), as was the difference between discharge score and admission score (indicating clinical improvement). More patients admitted with mechanical ventilation were successfully extubated in the deferoxamine group (61.5 vs. 14.3%, 95% CI: 15-73%; P=0.001), with a higher median ventilator-free days. There were no differences between groups in adverse events. Deferoxamine group was associated with hospital mortality [odds ratio=0.46 (95% CI: 0.22-0.95); P=0.04]. Conclusions: Deferoxamine may have mortality and clinical improvement benefits in COVID-19 adults admitted to ICU. Further powered and controlled studies are required.

Impact of a national collaborative project to improve the care of mechanically ventilated patients.

This prospective quasi-experimental study from the NASAM (National Approach to Standardize and Improve Mechanical Ventilation) collaborative assessed the impact of evidence-based practices including subglottic suctioning, daily assessment for spontaneous awakening trial (SAT), spontaneous breathing trial (SBT), head of bed elevation, and avoidance of neuromuscular blockers unless otherwise indicated. The study outcomes included VAE (primary) and intensive care unit (ICU) mortality. Changes in daily care process measures and outcomes were evaluated using repeated measures mixed modeling. The results were reported as incident rate ratio (IRR) for each additional month with 95% confidence interval (CI). A comprehensive program that included education on evidence-based practices for optimal care of mechanically ventilated patients with real-time benchmarking of daily care process measures to drive improvement in forty-two ICUs from 26 hospitals in Saudi Arabia (>27,000 days of observation). Compliance with subglottic suctioning, SAT and SBT increased monthly during the project by 3.5%, 2.1% and 1.9%, respectively (IRR 1.035, 95%CI 1.007-1.064, p = 0.0148; 1.021, 95% CI 1.010-1.032, p = 0.0003; and 1.019, 95%CI 1.009-1.029, p = 0.0001, respectively). The use of neuromuscular blockers decreased monthly by 2.5% (IRR 0.975, 95%CI 0.953-0.998, p = 0.0341). The compliance with head of bed elevation was high at baseline and did not change over time. Based on data for 83153 ventilator days, VAE rate was 15.2/1000 ventilator day (95%CI 12.6-18.1) at baseline and did not change during the project (IRR 1.019, 95%CI 0.985-1.053, p = 0.2812). Based on data for 8523 patients; the mortality was 30.4% (95%CI 27.4-33.6) at baseline, and decreased monthly during the project by 1.6% (IRR 0.984, 95%CI 0.973-0.996, p = 0.0067). A national quality improvement collaborative was associated with improvements in daily care processes. These changes were associated with a reduction in mortality but not VAEs. Registration The study is registered in clinicaltrials.gov (NCT03790150).

External Validation of 4C ISARIC Mortality Score in Critically ill COVID-19 Patients from Saudi Arabia.

Background: ISARIC mortality score is a risk stratification tool that helps predict the in-hospital mortality of COVID-19 patients. However, this tool was developed and validated in a British population, and thus, the external validation of this tool in local populations is important. Objectives: External validation of the ISARIC mortality score in COVID-19 patients from a large Saudi Arabian intensive care unit (ICU). Methods: This is a retrospective study that included all adult patients with COVID-19 admitted to the ICU of King Saud Medical City, Riyadh, Saudi Arabia, from March 2020 to June 2021. Patients who were pregnant or had pulmonary tuberculosis/human immunodeficiency virus were excluded along with patients with missing variables. Data were collected to calculate the ISARIC mortality score and then fitting receiver operator characteristic curve against patients' outcome. Results: A total of 1493 critically ill COVID-19 patients were included. The mortality was 38%, the area under the curve of the score was 0.81 (95% confidence interval [CI]: 0.79-0.83, P < 0.001) and the cutoff value correctly classified 72.7% of the cohort. The cutoff value of >9 had sensitivity of 70.5% (95% CI: 66.6-74.3); specificity, 73.97% (95% CI: 71-76.8); positive predictive value, 62.4% (95% CI: 59.5-65.2) and negative predictive value, 80.2% (95% CI: 78.2-82.4). Conclusion: The ISARIC score was found to have excellent predictive ability for mortality in critically ill COVID-19 patients in our Saudi Arabian cohort. A cutoff score of >9 was the optimal criterion.

Tele-Rapid Response Team (Tele-RRT): The effect of implementing patient safety network system on outcomes of medical patients-A before and after cohort study.

BACKGROUND: Rapid Response Teams were developed to provide interventions for deteriorating patients. Their activation depends on timely detection of deterioration. Automated calculation of warning scores may lead to early recognition, and improvement of RRT effectiveness. METHOD: This was a "Before" and "After" study, in the "Before" period ward nurses activated RRT after manually recording vital signs and calculating warning scores. In the "After" period, vital signs and warning calculations were automatically relayed to RRT through a wireless monitoring network. RESULTS: When compared to the before group, the after group had significantly lower incidence and rate of cardiopulmonary resuscitation (CPR) (2.3 / 1000 inpatient days versus 3.8 / 1000 inpatient days respectively, p = 0.01), significantly shorter length of hospital stay and lower hospital mortality, but significantly higher number of RRT activations. In multivariable logistic regression model, being in the "After" group decreases odds of CPR by 33% (OR = 0.67 [95% CI: 0.46-0.99]; p = 0.04). There was no difference between groups in ICU admission. CONCLUSION: Automated activation of the RRT significantly reduced CPR events and rates, improved CPR success rate, reduced hospital length of stay and mortality, but increased the number of RRT activations. There were no differences in unplanned ICU admission or readmission.

Favipiravir Efficacy And Safety For The Treatment Of Severe Coronavirus Disease 2019: A Retrospective Study.

BACKGROUND: Corona virus disease is caused by the enveloped, single stranded RNA virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) becoming the deadliest disease of the century. Its global outbreak has led researchers to develop drugs or vaccines to prevent the spread of the disease. Favipiravir is an approved orally administered antiviral drug that selectively inhibits RNA-dependent RNA polymerase, used off-label to treat COVID-19. Objectives: The purpose of this study was to assess the efficacy and safety of this drug for severe COVID-19 infection. METHODS: This was an observational retrospective study, carried out at the ICU of King Saud Medical City (KSMC) from June 2020 to August 2020. Including a total of one thousand six hundred and ninety-nine patients (n=1699). Categorized into a treatment group (193 patients) who received Favipiravir along with standard care, and non-treatment group (1506 patients) who received standard care only. RESULTS: ICU all-cause mortality was similar in both groups i.e., (Treated group 38.3% Vs Untreated group 39.4%, 95% CI of difference: -6.6% to +8.4%; p = 0.8). The subgroup analysis of survivors as compared to deceased in the treatment group showed that survivors had significantly lower age, international normalising ratio (INR), blood urea nitrogen (BUN), and creatinine. The mean ICU length of stay (LOS) was shorter for survivors compared to deceased (11.2± 8.03 Vs 16.7±9.8 days respectively), while hospital LOS was almost similar between the two groups. Advanced age (OR 1.03 [95% CI: 1.01-1.06]; p=0.004), higher INR and BUN were significantly associated with increased odds of mortality. Comparison of lab investigations at day 1 and day 10 in the treatment group (regardless of outcome) showed that there was a significant increase in Alanine transaminase (ALT), alkaline phosphatase (ALK), and Bilirubin, while an insignificant trend of increase in Aspartate transaminase (AST) and creatinine was recorded. CONCLUSIONS: In this study, Favipiravir showed better therapeutic responses in patients with severe COVID-19 infection, in terms of average duration of stay in the intensive care unit and was well tolerated in the younger age, but showed no mortality benefit. However, elevated levels of inflammatory markers, including increased ALT, AST, BUN, bilirubin, and creatinine, needs to be carefully examined.

Comparison of severity of immunized versus non-immunized COVID-19 patients admitted to ICU: A prospective observational study.

BACKGROUND: Vaccines against COVID-19 show high efficacy, yet, infection is still being detected among immunized patients, although with blunted severity. The purpose of this study was to assess the severity of COVID-19 infection among immunized versus non-immunized COVID-19 patients admitted to ICU. METHOD: A prospective observational cohort study, including all COVID-19 patients admitted to intensive care unit between January 1st, 2021 and June 30th, 2021 were eligible for inclusion. A comparison of severity upon hospitalization of immunized versus non-immunized patients on a 7-level ordinal scale was conducted, using ordinal logistic regression. RESULTS: 592 patients were enrolled, 524 (88.5%) non-immunized, 63 (10.6%) partially immunized, and 5 (0.9%) fully immunized, partially and fully immunized patients were grouped together. Majority of immunized patients (86.7%) were symptomatic before 21 days of immunization. Non-immunized group had fewer patients in the lower severity categories, while more patients in the higher severity categories compared to immunized group. At least one dose of immunization was associated with reduction of odds of moving up severity scale (OR = 0.2 [95% CI: 0.15-0.4]; p < 0.001) in a well fitted ordinal logistic regression model. At least one dose of immunization was associated with lower adjusted odds of 30 day all-cause mortality (OR = 0.45 [95% CI: 0.23-0.89]; p = 0.02). Non-immunized group had higher mortality rate (43.9% versus 29.4% [95% CI: 1.5 to 25.8]; p = 0.02). CONCLUSION: Most COVID-19 patients admitted to ICU were non-immunized, most of the partially immunized patients got infected before immunity could develop, and fully immunized patients were likely non-responders. At least one dose of immunization significantly decreases severity of the disease across all ordinal severity categories, and is significantly associated with lower 30 day all-cause mortality. Accordingly, immunization status may have to be considered when deciding on disposition of COVID-19 patients at the point of triage.

Delayed intensive care unit admission from the emergency department: impact on patient outcomes. A retrospective study. / Retardo na transferência do pronto-socorro para a unidade de terapia intensiva: impacto nos desfechos do paciente. Um estudo retrospectivo.

OBJECTIVE: To study the impact of delayed admission by more than 4 hours on the outcomes of critically ill patients. METHODS: This was a retrospective observational study in which adult patients admitted directly from the emergency department to the intensive care unit were divided into two groups: Timely Admission if they were admitted within 4 hours and Delayed Admission if admission was delayed for more than 4 hours. Intensive care unit length of stay and hospital/intensive care unit mortality were compared between the groups. Propensity score matching was performed to correct for imbalances. Logistic regression analysis was used to explore delayed admission as an independent risk factor for intensive care unit mortality. RESULTS: During the study period, 1,887 patients were admitted directly from the emergency department to the intensive care unit, with 42% being delayed admissions. Delayed patients had significantly longer intensive care unit lengths of stay and higher intensive care unit and hospital mortality. These results were persistent after propensity score matching of the groups. Delayed admission was an independent risk factor for intensive care unit mortality (OR = 2.6; 95%CI 1.9 - 3.5; p < 0.001). The association of delay and intensive care unit mortality emerged after a delay of 2 hours and was highest after a delay of 4 hours. CONCLUSION: Delayed admission to the intensive care unit from the emergency department is an independent risk factor for intensive care unit mortality, with the strongest association being after a delay of 4 hours.

OBJETIVO: Estudar o impacto do retardo na admissão à unidade de terapia intensiva em mais do que 4 horas nos desfechos de pacientes críticos. MÉTODOS: Este foi um estudo observacional retrospectivo, no qual pacientes adultos admitidos diretamente do pronto-socorro para a unidade de terapia intensiva foram divididos em dois grupos: Tempo Adequado, se admitidos dentro de 4 horas, e Admissão Retardada, nos casos em que a admissão demorou mais do que 4 horas para ocorrer. Compararam-se, entre os grupos, o tempo de permanência na unidade de terapia intensiva e a taxa de mortalidade na unidade de terapia intensiva e no hospital. Foi realizado pareamento por escore de propensão para correção de desequilíbrios. Utilizou-se uma análise de regressão logística para explorar retardo da admissão como fator independente de risco para mortalidade na unidade de terapia intensiva. RESULTADOS: Durante o período do estudo, 1.887 pacientes foram admitidos diretamente do pronto-socorro para a unidade de terapia intensiva, sendo que 42% dessas admissões foram retardadas. Os pacientes com retardo tiveram permanências na unidade de terapia intensiva significantemente mais longas e maior mortalidade na unidade de terapia intensiva e no hospital. Esses resultados persistiram após pareamento dos grupos por escore de propensão. O retardo da admissão foi fator independente de risco para mortalidade na unidade de terapia intensiva (RC = 2,6; IC95% 1,9 - 3,5; p < 0,001). A associação de retardo e mortalidade na unidade de terapia intensiva surgiu após período de retardo de 2 horas e foi mais alta após período de retardo de 4 horas. CONCLUSÃO: O retardo da admissão do pronto-socorro para a unidade de terapia intensiva é fator de risco independente para mortalidade na unidade de terapia intensiva, sendo a associação mais forte após retardo de 4 horas.

Modified Early Warning Score as a predictor of intensive care unit readmission within 48 hours: a retrospective observational study. / Modified Early Warning Score como preditor de readmissão à unidade de terapia intensiva dentro de 48 horas: um estudo observacional retrospectivo.

OBJECTIVE: To evaluate the hypothesis that the Modified Early Warning Score (MEWS) at the time of intensive care unit discharge is associated with readmission and to identify the MEWS that most reliably predicts intensive care unit readmission within 48 hours of discharge. METHODS: This was a retrospective observational study of the MEWSs of discharged patients from the intensive care unit. We compared the demographics, severity scores, critical illness characteristics, and MEWSs of readmitted and non-readmitted patients, identified factors associated with readmission in a logistic regression model, constructed a Receiver Operating Characteristic (ROC) curve of the MEWS in predicting the probability of readmission, and presented the optimum criterion with the highest sensitivity and specificity. RESULTS: The readmission rate was 2.6%, and the MEWS was a significant predictor of readmission, along with intensive care unit length of stay > 10 days and tracheostomy. The ROC curve of the MEWS in predicting the readmission probability had an AUC of 0.82, and a MEWS > 6 carried a sensitivity of 0.78 (95%CI 0.66 - 0.9) and specificity of 0.9 (95%CI 0.87 - 0.93). CONCLUSION: The MEWS is associated with intensive care unit readmission, and a score > 6 has excellent accuracy as a prognostic predictor.

Retardo na transferência do pronto-socorro para a unidade de terapia intensiva: impacto nos desfechos do paciente. Um estudo retrospectivo / Delayed intensive care unit admission from the emergency department: impact on patient outcomes. A retrospective study

RESUMO Objetivo: Estudar o impacto do retardo na admissão à unidade de terapia intensiva em mais do que 4 horas nos desfechos de pacientes críticos. Métodos: Este foi um estudo observacional retrospectivo, no qual pacientes adultos admitidos diretamente do pronto-socorro para a unidade de terapia intensiva foram divididos em dois grupos: Tempo Adequado, se admitidos dentro de 4 horas, e Admissão Retardada, nos casos em que a admissão demorou mais do que 4 horas para ocorrer. Compararam-se, entre os grupos, o tempo de permanência na unidade de terapia intensiva e a taxa de mortalidade na unidade de terapia intensiva e no hospital. Foi realizado pareamento por escore de propensão para correção de desequilíbrios. Utilizou-se uma análise de regressão logística para explorar retardo da admissão como fator independente de risco para mortalidade na unidade de terapia intensiva. Resultados: Durante o período do estudo, 1.887 pacientes foram admitidos diretamente do pronto-socorro para a unidade de terapia intensiva, sendo que 42% dessas admissões foram retardadas. Os pacientes com retardo tiveram permanências na unidade de terapia intensiva significantemente mais longas e maior mortalidade na unidade de terapia intensiva e no hospital. Esses resultados persistiram após pareamento dos grupos por escore de propensão. O retardo da admissão foi fator independente de risco para mortalidade na unidade de terapia intensiva (RC = 2,6; IC95% 1,9 - 3,5; p < 0,001). A associação de retardo e mortalidade na unidade de terapia intensiva surgiu após período de retardo de 2 horas e foi mais alta após período de retardo de 4 horas. Conclusão: O retardo da admissão do pronto-socorro para a unidade de terapia intensiva é fator de risco independente para mortalidade na unidade de terapia intensiva, sendo a associação mais forte após retardo de 4 horas.

Abstract Objective: To study the impact of delayed admission by more than 4 hours on the outcomes of critically ill patients. Methods: This was a retrospective observational study in which adult patients admitted directly from the emergency department to the intensive care unit were divided into two groups: Timely Admission if they were admitted within 4 hours and Delayed Admission if admission was delayed for more than 4 hours. Intensive care unit length of stay and hospital/intensive care unit mortality were compared between the groups. Propensity score matching was performed to correct for imbalances. Logistic regression analysis was used to explore delayed admission as an independent risk factor for intensive care unit mortality. Results: During the study period, 1,887 patients were admitted directly from the emergency department to the intensive care unit, with 42% being delayed admissions. Delayed patients had significantly longer intensive care unit lengths of stay and higher intensive care unit and hospital mortality. These results were persistent after propensity score matching of the groups. Delayed admission was an independent risk factor for intensive care unit mortality (OR = 2.6; 95%CI 1.9 - 3.5; p < 0.001). The association of delay and intensive care unit mortality emerged after a delay of 2 hours and was highest after a delay of 4 hours. Conclusion: Delayed admission to the intensive care unit from the emergency department is an independent risk factor for intensive care unit mortality, with the strongest association being after a delay of 4 hours.

Modified Early Warning Score como preditor de readmissão à unidade de terapia intensiva dentro de 48 horas: um estudo observacional retrospectivo / Modified Early Warning Score as a predictor of intensive care unit readmission within 48 hours: a retrospective observational study

RESUMO Objetivo: Avaliar a hipótese de que o Modified Early Warning Score (MEWS) por ocasião da alta da unidade de terapia intensiva associa-se com readmissão, e identificar o nível desse escore que prediz com maior confiabilidade a readmissão à unidade de terapia intensiva dentro de 48 horas após a alta. Métodos: Este foi um estudo observacional retrospectivo a respeito do MEWS de pacientes que receberam alta da unidade de terapia intensiva. Comparamos dados demográficos, escores de severidade, características da doença crítica e MEWS de pacientes readmitidos e não readmitidos. Identificamos os fatores associados com a readmissão em um modelo de regressão logística. Construímos uma curva Característica de Operação do Receptor para o MEWS na predição da probabilidade de readmissão. Por fim, apresentamos o critério ideal com maior sensibilidade e especificidade. Resultados: A taxa de readmissões foi de 2,6%, e o MEWS foi preditor significante de readmissão, juntamente do tempo de permanência na unidade de terapia intensiva acima de 10 dias e traqueostomia. A curva Característica de Operação do Receptor relativa ao MEWS para predizer a probabilidade de readmissão teve área sob a curva de 0,82, e MEWS acima de 6 teve sensibilidade de 0,78 (IC95% 0,66 - 0,9) e especificidade de 0,9 (IC95% 0,87 - 0,93). Conclusão: O MEWS associa-se com readmissão à unidade de terapia intensiva, e o escore acima de 6 teve excelente precisão como preditor prognóstico.

ABSTRACT Objective: To evaluate the hypothesis that the Modified Early Warning Score (MEWS) at the time of intensive care unit discharge is associated with readmission and to identify the MEWS that most reliably predicts intensive care unit readmission within 48 hours of discharge. Methods: This was a retrospective observational study of the MEWSs of discharged patients from the intensive care unit. We compared the demographics, severity scores, critical illness characteristics, and MEWSs of readmitted and non-readmitted patients, identified factors associated with readmission in a logistic regression model, constructed a Receiver Operating Characteristic (ROC) curve of the MEWS in predicting the probability of readmission, and presented the optimum criterion with the highest sensitivity and specificity. Results: The readmission rate was 2.6%, and the MEWS was a significant predictor of readmission, along with intensive care unit length of stay > 10 days and tracheostomy. The ROC curve of the MEWS in predicting the readmission probability had an AUC of 0.82, and a MEWS > 6 carried a sensitivity of 0.78 (95%CI 0.66 - 0.9) and specificity of 0.9 (95%CI 0.87 - 0.93). Conclusion: The MEWS is associated with intensive care unit readmission, and a score > 6 has excellent accuracy as a prognostic predictor.