Intensive Care Unit Admission Criteria Research Articles

Intensive care unit admission criteria: a scoping review.

Effectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures. In this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs). Electronic databases PubMed and ProQuest EBook Central were searched to identify papers published from 1999 to date of search. We included publications which described prescriptive criteria for admission of adult inpatients to a clinical area with a higher level of care than a general hospital ward. Data was extracted from each publication using a standardised data-charting form. Admission criteria characteristics were summarised and cross-tabulated for each criterion by population group. Five domains were identified: diagnosis-based criteria, clinical parameter criteria, organ-support criteria, organ-monitoring criteria and patient baseline criteria. Six clinical parameter-based criteria and five needs-based criteria were frequently proposed and represent variables extractable from EHRs. Thresholds for objective clinical parameter criteria varied across publications, and by disease subgroup, and universal cut-offs for criteria could not be elucidated. This study identified multiple criteria which may represent markers of deterioration. Many of the criteria are extractable from the EHR, making them potential candidates for future automated systems. Variability in admission criteria and associated thresholds across the literature suggests clinical deterioration is a heterogeneous phenomenon which may resist being defined as a single entity via a consensus-driven process.

Cancer patients admitted in the intensive care unit: Characteristics and outcomes

ObjectiveThe aim of this study was to identify the profile of cancer patients admitted in the intensive care unit (ICU) and compares the outcomes with non-cancer patients hospitalized in the same period. DesignThis is a cross-sectional study. SettingData were collected from medical records at Hospital Universitário Santa Terezinha, Joaçaba-SC, Brazil. PatientsAdmitted at ICU from April to November 2018. InterventionsNA. Main variables of interestICU outcomes. ResultsOf the 183 patients, 92 were cancer patients and 91 were non-cancer patients. There was a predominance of females for cancer and males for non-caner group, mostly elderly. Most hospitalizations of cancer patients were postoperative (49.4%). The cause of hospitalization of non-cancer patients was pneumonia, followed by traumatic brain injury, postoperative period, polytrauma, and septicemia. On the Sequential Organ Failure Assessment (SOFA) scale, cancer patients scored an average of 7.8 (±4.2) and on the Acute Physiology and Chronic Health Disease Classification System (APACHE II) 13.3 points (±8.6), whereas non-cancer scored 7.6 (±3.55) and 20.9 points (±7.2), respectively. Non-cancer patients used more invasive mechanical ventilation and vasoactive drugs. ConclusionCancer patients received less sedation and used less mechanical ventilation than non-cancer patients. In addition, cancer patients had a lower APACHE II score, denoting a less severe condition. Most surgical cancer patients demonstrate to benefit from intensive care, but it is still necessary to create more specific criteria for ICU admission.

The effect of limited healthcare access on poor outcomes among hospitalized COVID-19 patients in Honduras: A single center cohort study

BackgroundThe COVID-19 pandemic has had a severe impact on the Latin American subcontinent, particularly in areas with limited hospital resources and a restricted Intensive Care Unit (ICU) capacity. This study aimed to provide a comprehensive description of the clinical characteristics, outcomes, and factors associated with survival of COVID-19 hospitalized patients in Honduras. Research questionWhat were the characteristics and outcomes of COVID-19 patients in a large referral center in Honduras? Study design and methodsThis study employed a retrospective cohort design conducted in a single center in San Pedro Sula, Honduras, between October 2020 to March 2021. All hospitalized cases of confirmed COVID-19 during this timeframe were included in the analysis. Univariable and multivariable survival analysis were performed using Kaplan-Meier curves and Cox proportional hazards model aiming to identify factors associated with decreased 30 day in-hospital survival, using a priori-selected factors. ResultsA total of 929 confirmed cases were identified in this cohort, with males accounting for 55.4 % of cases. The case fatality rate among the hospitalized patients was found to be 50.1 % corresponding to 466 deaths. Patients with comorbidities such as hypertension, diabetes, obesity, chronic kidney disease, chronic obstructive pulmonary disease and cardiovascular disease had a higher likelihood of mortality. Additionally, non-survivors had a significantly longer time from illness onset to hospital admission compared to survivors (8.2 days vs 4.7 days). Among the cohort, 306 patients (32.9 %) met criteria for ICU admission. However, due to limited capacity, only 60 patients (19·6 %) were admitted to the ICU. Importantly, patients that were unable to receive level-appropriate care had lower likelihood of survival compared to those who received level-appropriate care (hazard ratio: 1.84). InterpretationThis study represents, the largest investigation of in-hospital COVID-19 cases in Honduras and Central America. The findings highlight a substantial case fatality rate among hospitalized patients. In this study, patients who couldn't receive level-appropriate care (ICU admission) had a significantly lower likelihood of survival when compared to those who did. These results underscore the significant impact of healthcare access during the pandemic, particularly in low- and middle-income countries.

The Impact of Screening for Perioperative ICU Admission in Geriatric Hip Fracture Patients: A Retrospective Analysis.

Hip fracture patients are a subset of trauma patients with high peri-operative mortality. To mitigate the mortality risk, the use of predictive scoring systems (e.g., RSI or Nomograms) for risk stratification and monitoring of high-risk patients in the intensive care unit (ICU) has been proposed. Screening patients for ICU admission with relatively low-cost tools may achieve high-quality, low-cost care. The aim of this study was to assess the effectiveness and feasibility of screening postoperative hip fracture patients for ICU admission. This is a retrospective single-site study comparing two groups ofpatients, before and after implementation of a hip fracture postoperative screening intervention in a level 1 trauma center in the United States. All hip fracture patients > 55 years of age admitted to the hospital between January 2021 and May 2023 were included. Trauma team members assessed and screened patients postoperatively in the post-anesthesia care unit (PACU), ordering standardized tests, including laboratory tests, a chest x-ray, and electrocardiogram (EKG). Assessment of the effect of the intervention included a comparison of a number of major adverse events (MAEs), mortality, planned and unplanned ICU admissions, ICU length of stay (LOS), and hospital LOS between pre- and post-intervention groups. Propensity score (PS) estimates were used to compare outcomes between the matched participants in the sample. A predictive model for ICU admission for the overall sample was estimated, and discriminative ability was assessed with an area under the curve (AUC) receiver operator characteristics (ROC) analysis. Lastly, feasibility was assessed by compliance with screening intervention and charges per patient related to the intervention. The sample consisted of 290 patients in the pre-intervention and 180 patients in the post-intervention groups, respectively, with a mean age of81.4 ± (9.9) years. There was a significant increase (p<0.01) in planned ICU admissions (OR=2.387, 95% CI (1.430, 3.983)) after screening protocol implementation. There was no significant difference between the pre-intervention group and post-intervention group in the number of MAEs (p=0.392), mortality (p=0.591), ICU LOS (p=0.617), and hospital LOS (p=0.151). When the PS-matched sample (n=424) was analyzed, there was a significant decrease (p=0.45) in unplanned ICU admissions (OR=6.40, 95% CI (0.81, 50.95)) after protocol implementation. Anticoagulants, emergency department (ED) respiratory rate (RR), injury severity score (ISS), number of comorbidities, substance use disorder (SAD), peripheral artery disease (PAD), and chronic obstructive pulmonary disease (COPD) were significant predictors of ICU admission (p=0.002, 0.022, 0.030, 0.034, 0.039, 0.039, and 0.042), respectively, and, demonstrated the discriminative ability between high and low risk for ICU admission (AUC=0.597, 0.587, 0.581, 0.578, 0.513, and 0.587, respectively). The screening intervention was achievable with 99% compliance (Kappa estimate 0.94) among trauma team members with an average charge of $282 per patient. The addition of a postoperative screening intervention for hip fracture patients > 55 years of age is achievable and decreases unplanned ICU admissions in matched samples. Presenting clinical indicators and comorbidities are associated with ICU admission and provide sufficient discriminatory ability as criteria for ICU admission.

Ethical considerations in evaluating discharge readiness from the intensive care unit.

Evaluating readiness for discharge from the intensive care unit (ICU) is a critical aspect of patient care. Whereas evidence-based criteria for ICU admission have been established, practical criteria for discharge from the ICU are lacking. Often discharge guidelines simply state that a patient no longer meets ICU admission criteria. Such discharge criteria can be interpreted differently by different healthcare providers, leaving a clinical void where misunderstandings of patients' readiness can conflict with perceptions of what readiness means for patients, families, and healthcare providers. In considering ICU discharge readiness, the use and application of ethical principles may be helpful in mitigating such conflicts and achieving desired patient outcomes. Ethical principles propose different ways of understanding what readiness might mean and how clinicians might weigh these principles in their decision-making process. This article examines the concept of discharge readiness through the lens of the most widely cited ethical principles (autonomy [respect for persons], nonmaleficence/beneficence, and justice) and provides a discussion of their application in the critical care environment. Ongoing bioethics discourse and empirical research are needed to identify factors that help determine discharge readiness within critical care environments that will ultimately promote safe and effective ICU discharges for patients and their families.

Ten Issues for Updating in Community-Acquired Pneumonia: An Expert Review.

Community-acquired pneumonia represents the third-highest cause of mortality in industrialized countries and the first due to infection. Although guidelines for the approach to this infection model are widely implemented in international health schemes, information continually emerges that generates controversy or requires updating its management. This paper reviews the most important issues in the approach to this process, such as an aetiologic update using new molecular platforms or imaging techniques, including the diagnostic stewardship in different clinical settings. It also reviews both the Intensive Care Unit admission criteria and those of clinical stability to discharge. An update in antibiotic, in oxygen, or steroidal therapy is presented. It also analyzes the management out-of-hospital in CAP requiring hospitalization, the main factors for readmission, and an approach to therapeutic failure or rescue. Finally, the main strategies for prevention and vaccination in both immunocompetent and immunocompromised hosts are reviewed.

Ten Issues to Update in Nosocomial or Hospital-Acquired Pneumonia: An Expert Review.

Nosocomial pneumonia, or hospital-acquired pneumonia (HAP), and ventilator-associated pneumonia (VAP) are important health problems worldwide, with both being associated with substantial morbidity and mortality. HAP is currently the main cause of death from nosocomial infection in critically ill patients. Although guidelines for the approach to this infection model are widely implemented in international health systems and clinical teams, information continually emerges that generates debate or requires updating in its management. This scientific manuscript, written by a multidisciplinary team of specialists, reviews the most important issues in the approach to this important infectious respiratory syndrome, and it updates various topics, such as a renewed etiological perspective for updating the use of new molecular platforms or imaging techniques, including the microbiological diagnostic stewardship in different clinical settings and using appropriate rapid techniques on invasive respiratory specimens. It also reviews both Intensive Care Unit admission criteria and those of clinical stability to discharge, as well as those of therapeutic failure and rescue treatment options. An update on antibiotic therapy in the context of bacterial multiresistance, in aerosol inhaled treatment options, oxygen therapy, or ventilatory support, is presented. It also analyzes the out-of-hospital management of nosocomial pneumonia requiring complete antibiotic therapy externally on an outpatient basis, as well as the main factors for readmission and an approach to management in the emergency department. Finally, the main strategies for prevention and prophylactic measures, many of them still controversial, on fragile and vulnerable hosts are reviewed.

Clinical presentation, ICU management and outcome in severe COVID-19 disease – A prospective observational study

Aim: We conducted a prospective, observational study to describe the clinical characteristics, management, and outcomes of patients with moderate to severe coronavirus disease admitted to the Intensive Care Unit (ICU). Methods: The study was conducted from 1st July 2020 to 31st December 2020. The criteria for ICU admission included a positive Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) for the novel Coronavirus (SARS-CoV-2) and oxygen saturation of less than 90% with or without oxygen. Results: A total of 621 patients were included (median age, 59 years [interquartile range {IQR}, 48-68]; 75.8% were males. The common comorbidities were hypertension (323 [52%]), and diabetes mellitus. 96 (15.5%) patients underwent mechanical ventilation, 18 (2.9%) received renal replacement therapy, and 223 (36%) died. The median age in non-survivors was significantly higher [63 years (IQR 55-71)] vs. 57 years (IQR 46-66)] (p &lt; 0.001). Hypoxia (oxygen saturation (SpO2 &lt; 90%) and shortness of breath suggestive of impending respiratory failure were the most common symptoms necessitating ICU admission. A low absolute lymphocyte count (ALC), and high levels of inflammatory biomarkers which persisted for seven days after diagnosis were significantly associated with non-survival. Multivariate logistic regression analysis showed shortness of breath (SOB), hypoxia (SpO2 &lt; 90% on oxygen), use of neuromuscular blockers, and chronic kidney disease as independent risk factors associated with mortality as were the severity scores (APACHE and SOFA). Conclusion: This single-center case series provides clinical characteristics and outcomes of patients with confirmed COVID-19 disease admitted to the COVID ICU. These findings are important for guiding research and preparing for future pandemics.

Temporal trends in mortality and provision of intensive care in younger women and men with acute myocardial infarction or stroke

BackgroundTimely management of acute myocardial infarction (AMI) and acute stroke has undergone impressive progress during the last decade. However, it is currently unknown whether both sexes have profited equally from improved strategies. We sought to analyze sex-specific temporal trends in intensive care unit (ICU) admission and mortality in younger patients presenting with AMI or stroke in Switzerland.MethodsRetrospective analysis of temporal trends in 16,954 younger patients aged 18 to ≤ 52 years with AMI or acute stroke admitted to Swiss ICUs between 01/2008 and 12/2019.ResultsOver a period of 12 years, ICU admissions for AMI decreased more in women than in men (− 6.4% in women versus − 4.5% in men, p < 0.001), while ICU mortality for AMI significantly increased in women (OR 1.2 [1.10–1.30], p = 0.032), but remained unchanged in men (OR 0.99 [0.94–1.03], p = 0.71). In stroke patients, ICU admission rates increased between 3.6 and 4.1% per year in both sexes, while ICU mortality tended to decrease only in women (OR 0.91 [0.85–0.95, p = 0.057], but remained essentially unaltered in men (OR 0.99 [0.94–1.03], p = 0.75). Interventions aimed at restoring tissue perfusion were more often performed in men with AMI, while no sex difference was noted in neurovascular interventions. ConclusionSex and gender disparities in disease management and outcomes persist in the era of modern interventional neurology and cardiology with opposite trends observed in younger stroke and AMI patients admitted to intensive care. Although our study has several limitations, our data suggest that management and selection criteria for ICU admission, particularly in younger women with AMI, should be carefully reassessed.Graphical

Validation of IDSA/ATS Guidelines for ICU Admission in Adults Over 80 Years Old With Community-Acquired Pneumonia

IntroductionThe 2007 IDSA/ATS guidelines for community-acquired pneumonia (CAP) recommended intensive care unit (ICU) admission for adults meeting severe CAP criteria. We aimed to validate the accuracy of IDSA/ATS criteria in patients≥80 years old (very elderly patients, VEP) with CAP. MethodsProspective cohort study of VEP with CAP admitted to three Spanish hospitals between 1996 and 2019. We compared patients who did and did not require ICU admission. We also assessed factors independently associated with ICU admission, as well as the accuracy of severe CAP criteria for ICU admission and mortality. Major criteria include septic shock and invasive mechanical ventilation while minor criteria encompass other variables related to hemodynamics and respiratory insufficiency as well as level of consciousness, renal function, blood parameters indicative of sepsis and body temperature. ResultsOf the 2006 VEP with CAP, 519 (26%) met severe CAP criteria, while 204 (10%) required ICU admission. Concordance between severe CAP criteria and the decision to admit the patient to the ICU occurred in 1591 (79%) cases (k coefficient, 0.33), with a sensitivity of 75% and specificity of 80% in predicting ICU admission. All patients with invasive mechanical ventilation received care in ICUs, while 45 (44%) patients with septic shock—previously stabilized in the emergency room—did not. Thirty-day mortality of ICU-admitted patients with septic shock was lower than that of patients in wards (30% vs. 60%, p=0.013). In contrast, patients with severe CAP and only minor criteria had similar mortality. ConclusionsIDSA/ATS criteria for severe CAP predict ICU admission in VEP moderately well. While patients with septic shock and invasive mechanical ventilation warrant ICU admission, severe CAP without major severity criteria in VEP may be acceptably manageable in wards.

ICU Admissions and Outcomes of Childhood Cancer Patients in Single Tertiary Hospital in the Private Sector in India.

Ramandeep Singh AroraBackground Modern-day treatment of childhood cancer is punctuated by the necessary need for intensive care. This study was performed to understand the intensive care unit (ICU) admission rates and factors associated with ICU admission in a cohort of newly diagnosed childhood cancer patients in India. Materials and Methods All childhood (age <18 years) patients in the hospital-based cancer registry who had registered between March 1, 2013, and May 31, 2018, formed the cohort. ICU admissions were recorded and demographic and clinical factors associated with ICU admission were investigated. ICU admission rates were the primary outcome of interest and secondary outcomes were ICU admission rates for sick/supportive reasons, ICU admission rates for surgical/procedural reasons and mortality during ICU admission. Results In a cohort of 258 children (66% males, 61% from India, and median age 7 years), 149 (58%) patients needed one or more ICU admission (median one with range of one to five) with total 204 ICU admission episodes. While age group, gender, and nationality were not significantly associated with ICU admission, cancer type was (highest in neuroblastoma (82%) and central nervous system (CNS) tumors (71%)). Sick/supportive care ICU admissions were significantly higher in patients of younger age, Indian origin, and certain cancers (leukemias, lymphomas). Surgical/procedural ICU admissions were significantly higher in international patients and certain cancers (CNS tumors, neuroblastomas, and soft tissue sarcomas). There were 17 ICU deaths (11% of patients admitted to ICU) and all but one were from sick/supportive care ICU admissions. Conclusion Our study highlights higher than reported ICU admission rates and lower than reported mortality in children with cancer in low- and middle-income countries. We next plan to develop more specific ICU admission criteria, prospectively evaluating severity metrics in these patients, and explore the development of a high dependency unit.

Prospective Validation of a Novel Triage System Developed in a Middle Income Country - AIIMS Triage Protocol.

Triage is a crucial process not only to identify sick patients and prioritize prompt management but also to foster efficient resource utilization. In low-and middle-income countries (LMICs) most emergency departments (ED) still have an informal triage process. Although an important element of emergency care, triage research has not been a priority in LMICs, and hence, very few triage systems have been validated. The All India Institute of Medical Sciences (AIIMS) triage protocol or ATP for adult patients was developed by expert consensus at AIIMS using the Delphi method. We attempted a prospective validation of the ATP in terms of mortality and intensive care unit (ICU)/hospital admission at 24 h. Patients presenting to the ED, who were 14 years and above were included in the study. The patients were followed up at 24 h and their outcome documented on a standardized data collection form. Mortality and ICU admission were noted at 24 h. A total of 15,505 patients were recruited. After exclusion, among 13,754 patients, 6303 (45.83%) were triaged red and 7451 (54.17%) were triaged yellow. Mortality at 24 h was 10.31% (650) in red triaged patients and 0.35% (26) in yellow triaged patients. The 24-h mortality of red triaged patients was significantly higher (P <0.001) than that of yellow triaged patients. The presence of one or more ATP "Red" criteria was 96.2% (95% confidence interval [CI]: 94.42%-97.47%) sensitive and 56.8% (95% CI: 55.92%-57.63%) specific in predicting 24-h mortality. The sensitivity and specificity of ATP "Red" criteria for 24-h ICU admission were 98.5% (95% CI: 97.7%-99.1%) and 59.6% (95% CI: 58.8%-60.5%), respectively. When applied to adult nontrauma patients, ATP had a high accuracy in recognizing sick patients presenting to the ED. A time-tested and validated triage system like ATP may be a good starting point for public hospital EDs in LMICs.

Comparison of the intensive care unit admission rate and mortalities of COVID-19 patients who received Hydroxychloroquine and Favipiravir in the ward

Background: Until now, a fully accepted treatment method for the management of COVID-19 has not been recommended. Some antiviral drugs such favipiravir and remdesivir, antimalarial drugs like hydroxychloroquine and anti-inflammatory drugs have been used for the treatment of the patients with COVID-19. The aim of this retrospective study is to compare the Intensive Care Unit (ICU) admission rate and mortalities of COVID-19 patients who received Hydroxychloroquine and Favipiravir in the COVID positive wards. Methods: First approval was obtained from the ethics committee, then the patients with COVID-19 who were under follow-up and treat in the COVID positive wards between March and December 2020 were retrospectively analyzed. We aimed to investigate the demographic characteristics, the reason for hospitalization, Charlson comorbidity index, hemodynamic and laboratory parameters, duration of the ward, the rate of discharged from the ward, the ward mortality rate, the ICU admission rate, and mortalities of these patients. The patients were divided into two groups as Hydroxychloroquine Group (H Group) and Favipiravir Group (F Group). The patients in the H Group received hydroxychloroquine 400 mg orally 2x/day on day 1, then 200 mg 2x/day on days 2-5. The patients in the F group received favipiravir 1600 mg 2x/day on day 1, then 600 mg 2x/day on days 2-5. Decreased oxygen saturation and PaO2/FiO2 rate, increased respiration rate with worsening clinical condition and elevated inflammatory parameters such CRP, ferritin, D-dimer, creatinine, lactate and troponin were accepted as criteria for admission to ICU. Demographic and clinical characteristics, and the ICU admission rate, the discharge from the ward and mortalities were compared between the two groups. Results: A total of 2734 patients were analyzed retrospectively and divided into H and F groups. The main reasons for hospitalization were fatigue, shortness of breath, fever, low oxygen saturation and positive PCR test with positive chest computerized tomography findings for COVID-19 in all patients. Age, gender, Body Mass Index (BMI), Charlson Comorbidity Index (CCI), mean blood pressure, heart rate, respiratory rate and oxygen saturation were not significant different between the H and F groups at admission. The treatments of the patients in the wards such the support of oxygen with reservoir mask, enoxaparin as an anticoagulant, acetylcysteine to loss mucus in the airways, steroid use, vitamin C and D, and patient’s nutrition were the same. The ICU admission criteria were similar between the two groups. The rate of discharged from the ward was significantly higher in the H group when compared with F group as 85,75% versus 73,74%. In addition, the ICU admission rate was significantly lower in the H group than F group as 9,79% versus 20,54%. The ward mortality and ICU mortality rates were not significant different between the two groups. However, total mortality rate, considering of the total ward and ICU, was significantly lower in The H group. Conclusion: This retrospective study showed that hydroxychloroquine lowers the ICU admission rate and raises the discharge rate when compared with favipiravir in the ward patients with COVID-19. However, it does not change the ward and the ICU mortality rates.

Comparison of the intensive care unit admission rate and mortalities of COVID-19 patients who received hydroxychloroquine and eavipiravir in the ward

Background: Until now, a fully accepted treatment method for the management of COVID-19 has not been recommended. Some antiviral drugs such favipiravir and remdesivir, antimalarial drugs like hydroxychloroquine and anti-inflammatory drugs have been used for the treatment of the patients with COVID-19. The aim of this retrospective study is to compare the Intensive Care Unit (ICU) admission rate and mortalities of COVID-19 patients who received Hydroxychloroquine and Favipiravir in the COVID positive wards. Methods: First approval was obtained from the ethics committee, then the patients with COVID-19 who were under follow-up and treat in the COVID positive wards between March and December 2020 were retrospectively analyzed. We aimed to investigate the demographic characteristics, the reason for hospitalization, Charlson comorbidity index, hemodynamic and laboratory parameters, duration of the ward, the rate of discharged from the ward, the ward mortality rate, the ICU admission rate, and mortalities of these patients. The patients were divided into two groups as Hydroxychloroquine Group (H Group) and Favipiravir Group (F Group). The patients in the H Group received hydroxychloroquine 400 mg orally 2x/day on day 1, then 200 mg 2x/day on days 2-5. The patients in the F group received favipiravir 1600 mg 2x/day on day 1, then 600 mg 2x/day on days 2-5. Decreased oxygen saturation and PaO2/FiO2 rate, increased respiration rate with worsening clinical condition and elevated inflammatory parameters such CRP, ferritin, D-dimer, creatinine, lactate and troponin were accepted as criteria for admission to ICU. Demographic and clinical characteristics, and the ICU admission rate, the discharge from the ward and mortalities were compared between the two groups. Results: A total of 2734 patients were analyzed retrospectively and divided into H and F groups. The main reasons for hospitalization were fatigue, shortness of breath, fever, low oxygen saturation and positive PCR test with positive chest computerized tomography findings for COVID-19 in all patients. Age, gender, Body Mass Index (BMI), Charlson Comorbidity Index (CCI), mean blood pressure, heart rate, respiratory rate and oxygen saturation were not significant different between the H and F groups at admission. The treatments of the patients in the wards such the support of oxygen with reservoir mask, enoxaparin as an anticoagulant, acetylcysteine to loss mucus in the airways, steroid use, vitamin C and D, and patient’s nutrition were the same. The ICU admission criteria were similar between the two groups. The rate of discharged from the ward was significantly higher in the H group when compared with F group as 85,75% versus 73,74%. In addition, the ICU admission rate was significantly lower in the H group than F group as 9,79% versus 20,54%. The ward mortality and ICU mortality rates were not significant different between the two groups. However, total mortality rate, considering of the total ward and ICU, was significantly lower in The H group. Conclusion: This retrospective study showed that hydroxychloroquine lowers the ICU admission rate and raises the discharge rate when compared with favipiravir in the ward patients with COVID-19. However, it does not change the ward and the ICU mortality rates.

Association Between rRT-PCR Test Results Upon Admission and Outcome in Hospitalized Chest CT-Positive COVID-19 Patients: A Provincial Retrospective Cohort with Active Follow-up

Background: The coronavirus disease 2019 (COVID-19) pandemic imposed the most devastating challenge on healthcare systems worldwide. Iran was among the first countries that had to confront serious shortages in reverse-transcriptase-polymerase chain reaction (RT-PCR) testing for severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) and ventilators availabilities throughout the COVID-19 outbreak. Objectives: This study aimed to investigate the clinical course of hospitalized COVID-19 patients with different real-time RT-PCR test results during the first three weeks of the outbreak in Qazvin province, Iran. Methods: In this retrospective cohort study, patients with a positive chest computed tomography (CT) scan for COVID-19 who were admitted to all 12 hospitals across Qazvin province, Iran, between February 20 and March 11, 2020, were included and followed up until March 27, 2020. A multivariate logistic regression model was applied to compare the independent associates of death among COVID-19 patients. Then, patients were categorized into six groups based on admission to the intensive care unit (ICU) and rRT-PCR test status (positive, negative, or no test). Also, multilevel logistic regression was used to compare the odds of surviving in each group against the reference group (PCR negative patients not-received ICU) to show if the rational allocation of ICU occurred while its capacity is limited. Results: In this study, we included 998 patients (57% male; median age: 54 years) with positive chest CT scan changes. Among them, 558 patients were examined with rRT-PCR test and 73.8% tested positive. Case fatality rate (CFR) was 20.68 and 7.53% among hospitalized patients with positive and negative tests, respectively. While only 5.2% of patients were admitted to the ICU, CFR outside ICU was 17.70 and 4.65% in patients with positive and negative results not admitted to the ICU, respectively. Conclusions: Total CFR in all hospitalized COVID-19 patients in Qazvin province during the first three weeks of the pandemic was 11.7%. Also, according to the results, the main risk factors included a positive rRT-PCR test, age more than 70 years, and having two or more comorbidities or just immunodeficiency disorders. Hence, the ICU admission criteria or prioritized ICU beds allocation should be considered with more emphasis on rRT-PCR results when the capacity of ICU beds is low.

If early warning systems are used, would it be possible to estimate early clinical deterioration risk and prevent readmission to intensive care?

Although the intensive care unit (ICU) admission criteria are specified clearly, it is difficult to make the decision of discharge from ICU. The purpose of this study is to test whether or not early warning scores will allow us to estimate early clinical deterioration within 24 hours and predict readmission to intensive care. A total of 1330 patients were included in the retrospective study. All the patients' age, gender, ICU hospitalization reasons and Acute Physiological and Chronic Health Evaluation (APACHE II) scores were recorded. National Early Warning Score (NEWS) and VitalpacTM early warning score (VIEWS) scores were calculated using the physiological and neurological examination records. Discharge NEWS and VIEWS values of the patients who were readmitted to intensive care 24 hours after discharge were compared with the patients who were not readmitted to intensive care. The statistical analysis was performed using the IBM SPSS version 21 package software. Age average of all the patients was 64.3 ± 20.8 years. The number of the patients who were readmitted to intensive care was 118 (8.87%). When examining the factors that affect early clinical deterioration, it was found that advanced age, high APACHE II scores, higher NEWS and VIEWS scores, lower DAP values and the patient's transfer from the ward were significantly predictive (P < 0.05). In this study, high NEWS and VIEWS are strong scoring systems that can be used in estimating early clinical deterioration risk and are easy-to-use and less time consuming.

Admission criteria in critically ill COVID-19 patients: A physiology-based approach.

IntroductionThe COVID-19 pandemic required careful management of intensive care unit (ICU) admissions, to reduce ICU overload while facing limitations in resources. We implemented a standardized, physiology-based, ICU admission criteria and analyzed the mortality rate of patients refused from the ICU.Materials and methodsIn this retrospective observational study, COVID-19 patients proposed for ICU admission were consecutively analyzed; Do-Not-Resuscitate patients were excluded. Patients presenting an oxygen peripheral saturation (SpO2) lower than 85% and/or dyspnea and/or mental confusion resulted eligible for ICU admission; patients not presenting these criteria remained in the ward with an intensive monitoring protocol. Primary outcome was both groups’ survival rate. Secondary outcome was a sub analysis correlating SpO2 cutoff with ICU admission.ResultsFrom March 2020 to January 2021, 1623 patients were admitted to our Center; 208 DNR patients were excluded; 97 patients were evaluated. The ICU-admitted group (n = 63) mortality rate resulted 15.9% at 28 days and 27% at 40 days; the ICU-refused group (n = 34) mortality rate resulted 0% at both intervals (p < 0.001). With a SpO2 cut-off of 85%, a significant correlation was found (p = 0.009), but with a 92% a cut-off there was no correlation with ICU admission (p = 0.26). A similar correlation was also found with dyspnea (p = 0.0002).ConclusionIn COVID-19 patients, standardized ICU admission criteria appeared to safely reduce ICU overload. In the absence of dyspnea and/or confusion, a SpO2 cutoff up to 85% for ICU admission was not burdened by negative outcomes. In a pandemic context, the SpO2 cutoff of 92%, as a threshold for ICU admission, needs critical re-evaluation.

Associations of Government-issued Intensive Care Unit Admission Criteria with Clinical Practices, Outcomes, and Intensive Care Unit Bed Occupancy.

Rationale: In Japan, the government officially issued intensive care unit (ICU) admission criteria that require ICUs to admit patients who need a certain level of monitoring and procedures to ensure their reimbursement for ICU costs from April 2014. Objectives: To assess whether the newly issued health policy on ICU admission criteria based on financial incentives for monitoring and procedures had any impact on clinical practices, outcomes, and ICU bed occupancy. Methods: Using a nationwide inpatient health claims database in Japan, we identified patients who were admitted to the ICU from April 2012 to March 2018. Outcomes were monitoring and procedures in the ICU, clinical outcomes, and ICU bed occupancy. The outcomes of monitoring and procedures and clinical outcomes were adjusted for patient characteristics. Interrupted time-series analyses were used to compare the trends in outcomes for two separate periods before and after the issue of the new health policy on ICU admission criteria in April 2014. Results: A total of 1,660,601 patients in 259 ICU-equipped hospitals were eligible. There were significant upward slope changes between the pre- and post-issue periods for all monitoring and procedures in the ICU, including invasive arterial pressure monitoring (5.62% change in trend per year; 95% confidence interval [CI], 4.75-6.49%) and central venous pressure monitoring (1.22% change in trend per year; 95% CI, 0.78-1.67%). There was no significant slope change between the pre- and post-issue periods for in-hospital mortality, but there were significant upward slope changes for complications of pneumonia (0.27% change in trend per year; 95% CI, 0.14-0.39%) and catheter-related bloodstream infection (0.02% change in trend per year; 95% CI, 0.00-0.14%). There were also significant upward slope changes in length of hospital stay, length of ICU stay, and hospitalization costs between the pre- and post-issue periods. There was no significant slope change between the pre- and post-issue periods for ICU bed occupancy. Conclusions: The health policy on ICU admission criteria based on financial incentives for actions taken by providers was associated with increased monitoring and procedures, complications, lengths of hospital and ICU stay, and hospitalization costs without decreasing ICU bed occupancy.

Pressure on the Health-Care System and Intensive Care Utilization During the COVID-19 Outbreak in the Lombardy Region of Italy: A Retrospective Observational Study in 43,538 Hospitalized Patients.

During the spring of 2020, the COVID-19 epidemic caused an unprecedented demand for intensive care resources in Lombardy, Italy. Using data on 43,538 hospitalized patients admitted between February 21 and July 12, 2020, we evaluated variations in intensive care unit (ICU) admissions and mortality over three periods: the early phase (February 20-March 13), the period of highest pressure on healthcare (March 14-April 25, when COVID-19 patients exceeded the ICU pre-pandemic bed capacity), and the declining phase (April 26-July 12).Compared to the early phase, patients above 70 years of age were admitted less often to an ICU during highest pressure on healthcare (odds ratio OR 0.47, 95%CI: 0.41-0.54) with longer delays (incidence rate ratio IRR 1.82, 95%CI: 1.52-2.18), and lower chances of death in ICU (OR 0.47, 95%CI: 0.34-0.64). Patients under 56 years of age reported more limited changes in the probability (OR 0.65, 95%CI: 0.56-0.76) and delay to ICU admission (IRR 1.16, 95%CI: 0.95-1.42) and an increased mortality (OR 1.43, 95%CI: 1.00-2.07). In the declining phase, all quantities decreased for all age groups.These patterns may suggest that limited healthcare resources during the peak epidemic phase in Lombardy forced a shift in ICU admission criteria to prioritize patients with higher chances of survival.

Prognostic Factors and Predictors of In-Hospital Mortality Among COVID-19 Patients Admitted to the Intensive Care Unit: An Aid for Triage, Counseling, and Resource Allocation.

Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains today a global health pandemic. Those with severe infection are at risk of rapid clinical deterioration; as a result, intensive care unit (ICU) admission is not uncommon in such patients. A number of determinants have been identified as predictors of poor prognosis and in-hospital mortality, ranging from demographic characteristics, laboratory and/or radiological findings.Aim: To identify determinants of in-hospital mortality and examine the accuracy of seven early warning scores in predicting in-hospital mortality.Methods: This is a retrospective study conducted in Kuwait from July 2020 to March 2021, and participants were adult patients with a positive test on the real-time polymerase chain reaction (RT-PCR) for SARS-CoV-2 and who met the criteria for ICU admission. Data collected included: demographics, clinical status on hospital arrival, laboratory test results, and ICU course. Furthermore, we calculated seven early warning scores for each of our patients.Results: A total of 133 patients were admitted to our COVID-19 ICU with a median age of 59 years. Arrival to ICU on mechanical ventilation (MV), developing in-hospital complications, having chronic kidney disease (CKD), having a high white blood count (WBC), lactate dehydrogenase (LDH), lactate, or urea levels were found to be significant predictors of in-hospital mortality. Furthermore, the 4C mortality score for COVID-19, VACO index for COVID-19 mortality, and the PRIEST COVID-19 clinical severity score proved to be the most superior in predicting in-hospital mortality.Conclusion: Identifying high-risk patients and those with a poor prognosis allows for efficient triaging and the delivery of high-standard care while minimizing the strain on the healthcare system.