Sequential Organ Function Assessment Research Articles

Characteristics and outcomes of patients admitted to intensive care units in Uganda: a descriptive nationwide multicentre prospective study

Intensive care unit (ICU) mortality rates have decreased over time. However, in low-and lower-middle income countries (LMICs), there remains an excess ICU mortality with limited understanding of patient characteristics, treatments, and outcomes from small single centre studies. We aimed therefore, to describe the characteristics, therapies and outcomes of patients admitted to all intensive care units in Uganda. A nationwide prospective observational study including all patients admitted Uganda’s ICUs with available daily charts was conducted from 8th January 2018 to 1st April 2018. Socio-demographics and clinical characteristics including worst vital signs in the first 24 h of admission were recorded with calculation of the National Early Warning Score (NEWS-2) and quick Sequential Organ Function Assessment (qSOFA) score. ICU interventions were recorded during the ICU stay and patients were followed up to 28 days in ICU. The primary outcome was 28 day ICU mortality. Three-hundred fifty-one patients were analysed with mean age 39 (24.1) years, 205 (58.4%) males with 197 (56%) surgical admissions. The commonest indication for ICU admission was postoperative care (42.9%), 214 (61%) had at least one comorbidity, with hypertension 104 (48.6%) most prevalent and 35 (10%) HIV positive. The 28 day ICU mortality was 90/351 (25.6%) with a median ICU stay of 3 (1–7) days. The highest probability of death occurred during the first 10 days with more non-survivors receiving mechanical ventilation (80% vs 34%; p < 0.001), sedation/paralysis (70% vs 50%; p < 0.001), inotropic/vasopressor support (56.7% vs 22.2%; p < 0.001) and renal replacement therapy (14.4% vs 4.2%; p < 0.001). Independent predictors of ICU mortality included mechanical ventilation (HR 3.34, 95% CI 1.48–7.52), sedation/paralysis (HR 2.68, 95% CI 1.39–5.16), inotropes/vasopressor (HR 3.17,95% CI 1.89–5.29) and an HIV positive status (HR 2.28, 95% CI 1.14–4.56). This study provides a comprehensive description of ICU patient characteristics, treatment patterns, and outcomes in Uganda. It not only adds to the global body of knowledge on ICU care in resource-limited settings but also serves as a foundation for future research and policy initiatives aimed at optimizing ICU care in Sub-Saharan Africa.

Study to compare the effect of casirivimab and imdevimab, remdesivir, and favipiravir on progression and multi-organ function of hospitalized COVID-19 patients.

Coronavirus disease 2019 (COVID-19) caused a progress in research to find a solution to this pandemic. Also, various advances in pharmacotherapy against COVID-19 have emerged. Regarding antiviral therapy, casirivimab and imdevimab are antibodies combination against COVID-19. Standard antiviral therapy against COVID-19 includes remdesivir and favipiravir. The objectives were to compare progression and multi-organ function of hospitalized COVID-19 patients between these three antiviral groups. 265 COVID-19 hospitalized patients were included in this study and were divided into 3 groups (1:2:2), respectively, Group (A): casirivimab and imdevimab, group (B): remdesivir, and group (C): favipiravir. The design of the study is a single blind non-randomized controlled trial. This study is a phase IV clinical trial (post-marketing study). The duration of the study was about 6 months after receiving the ethical approval. Casirivimab and imdevimab achieved less case progression as presented by lower World Health Organization scale (P < 0.05 in comparing group A with B and C) and better multi-organ functions as presented by lower Sequential Organ Function Assessment score (P < 0.05 in comparing group A with B and C) than remdesivir and favipiravir. From all these results, it is concluded that Group A (casirivimab and imdevimab) produces better outcomes than B (remdesivir) and C (favipiravir) intervention groups.

Consistently low levels of histidine-rich glycoprotein as a new prognostic biomarker for sepsis: A multicenter prospective observational study.

Few sepsis biomarkers accurately predict severity and mortality. Previously, we had reported that first-day histidine-rich glycoprotein (HRG) levels were significantly lower in patients with sepsis and were associated with mortality. Since the time trends of HRG are unknown, this study focused on the time course of HRG in patients with sepsis and evaluated the differences between survivors and non-survivors. A multicenter prospective observational study was conducted involving 200 patients with sepsis in 16 Japanese hospitals. Blood samples were collected on days 1, 3, 5, and 7, and 28-day mortality was used for survival analysis. Plasma HRG levels were determined using a modified quantitative sandwich enzyme-linked immunosorbent assay. First-day HRG levels in non-survivors were significantly lower than those in survivors (mean, 15.7 [95% confidence interval (CI), 13.4-18.1] vs 20.7 [19.5-21.9] μg/mL; P = 0.006). Although there was no time × survivors/non-survivors interaction in the time courses of HRG (P = 0.34), the main effect of generalized linear mixed models was significant (P < 0.001). In a univariate Cox proportional hazards model with each variable as a time-dependent covariate, higher HRG levels were significantly associated with a lower risk of mortality (hazard ratio, 0.85 [95% CI, 0.78-0.92]; P < 0.001). Furthermore, presepsin levels (P = 0.02) and Sequential Organ Function Assessment scores (P < 0.001) were significantly associated with mortality. Harrell's C-index values for the 28-day mortality effect of HRG, presepsin, procalcitonin, and C-reactive protein were 0.72, 0.70, 0.63, and 0.59, respectively. HRG levels in non-survivors were consistently lower than those in survivors during the first seven days of sepsis. Repeatedly measured HRG levels were significantly associated with mortality. Furthermore, the predictive power of HRG for mortality may be superior to that of other singular biomarkers, including presepsin, procalcitonin, and C-reactive protein.

Risk Predictors for Mortality in Inpatients with Cancer and Coronavirus Disease 2019 during the Omicron Wave

Abstract Background: Patients with cancer are a high-risk population in the coronavirus disease 2019 (COVID-19) pandemic. We analyzed the characteristics and risk factors for mortality in hospitalized patients with cancer and laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during the Omicron wave. Materials and Methods: We conducted a retrospective, single-center, cohort study of 206 patients with cancer and SARS-CoV-2 infection in southern Taiwan. Clinical characteristics, laboratory data, and cancer characteristics were compared between survivors and nonsurvivors. Risk factors for mortality were identified by univariable and multivariable logistic regression models. Results: The median patient age was 69.5 years. Male preponderance was noted (65%). Comorbidities were present in 186 (90%) cases. A total of 113 (54%) patients had active cancer. Metastatic disease accounted for 78 (38%) cases, of whom 19 (9%) had lung metastasis. Sixty-four (31%) patients had active and progressing cancer status. The overall inhospital mortality rate was 17.4%. Univariate logistic regression revealed the following factors to be significantly associated with a higher risk of inhospital mortality among the patients with cancer and COVID-19: nosocomial COVID-19 infection (P = 0.037), lung metastasis (P = 0.005), received anticancer therapy in the preceding 3 months (P = 0.083), active and progressing cancer (P = 0.008), and quick Sequential Organ Function Assessment (qSOFA) score ≥2 (P &lt; 0.001). However, only nosocomial infection (P = 0.021) and qSOFA score ≥2 (P &lt; 0.001) were independent predictors of inhospital mortality in the multivariate logistic regression analysis. Conclusion: Cancer patients are a population vulnerable to the Omicron variant with higher mortality rate, especially those with nosocomial COVID-19 infection and those with a qSOFA score of ≥2 immediately after confirmation of COVID-19 infection. Thus, the rapid recognition of high-risk groups and nosocomial infection control are critical to prevent COVID-19 in patients with cancer.

A clinico-epidemiological profile, coinfections and outcome of patients with Influenza Like Illnesses (ILI) presenting to the emergency department during the COVID-19 pandemic.

During the COVID-19 pandemic, many patients presented to the emergency department (ED) with features of Influenza-like illnesses (ILI) and with other atypical presentations. This study was done to determine the etiology, co-infections, and clinical profile of patients with ILI. This prospective observational study included all patients presenting to the ED with fever and/or cough, breathing difficulty, sore throat, myalgia, gastrointestinal complaints (abdominal pain/vomiting/diarrhea), loss of taste and altered sensorium or asymptomatic patients who resided in or travelled from containment zones, or those who had contact with COVID-19 positive patients during the first wave of the pandemic between April and August 2020. Respiratory virus screening was done on a subset of COVID-19 patients to determine co-infection. During the study period, we recruited 1462 patients with ILI and 857 patients with the non-ILI presentation of confirmed COVID-19 infection. The mean age group of our patient population was 51.4 (SD: 14.9) years with a male predominance (n-1593; 68.7%). The average duration of symptoms was 4.1 (SD: 2.9) days. A sub-analysis to determine an alternate viral etiology was done in 293 (16.4%) ILI patients, where 54 (19.4%) patients had COVID 19 and co-infection with other viruses, of which Adenovirus (n-39; 14.0%) was the most common. The most common symptoms in the ILI-COVID-19 positive group (other than fever and/or cough and/or breathing difficulty) were loss of taste (n-385; 26.3%) and diarrhea (n- 123; 8.4%). Respiratory rate (27.5 (SD: 8.1)/minute: p-value < 0.001) and oxygen saturation (92.1% (SD: 11.2) on room air; p-value < 0.001) in the ILI group were statistically significant. Age more than 60 years (adjusted odds ratio (OR): 4.826 (3.348-6.956); p-value: <0.001), sequential organ function assessment score more than or equal to four (adjusted OR: 5.619 (3.526-8.957); p-value: <0.001), and WHO critical severity score (Adjusted OR: 13.812 (9.656-19.756); p-value: <0.001) were independent predictors of mortality. COVID-19 patients were more likely to present with ILI than atypical features. Co-infection with Adenovirus was most common. Age more than 60 years, SOFA score more than or equal to four and WHO critical severity score were independent predictors of mortality.

1178: INCIDENCE AND RISK OF MORTALITY IN PATIENTS ON THREE VASOPRESSORS FOR MANAGEMENT OF SEPTIC SHOCK

Introduction: In patients with septic shock, vasopressors are required to maintain hemodynamics while patients receive treatment for the underlying etiology. Two vasopressors, norepinephrine and vasopressin, are recommend by guidelines for the management of septic shock in the intensive care unit (ICU). However, limited data exist evaluating outcomes associated with the need for a third vasopressor, as well as risk factors for mortality for patients requiring three vasopressors. Evaluation of these risk factors may help with prognostication and goals of care discussions. Methods: The MIMIC-IV and eICU-CRD databases were queried for patients who were, 1) admitted to any ICU, 2) administered at least three vasopressors for at least two hours, and 3) identified to have sepsis based on the Sepsis-3 criteria. Data collected included demographics such as age, sex, and race as well as objective data such as serum creatinine, lactate, Richmond Agitation Sedation Scale (RASS) score, and Sequential Organ Function Assessment (SOFA) score. A generalized additional model (GAM) was developed to evaluate risk factors for in-hospital mortality in the MIMIC-IV and validated using the eICU-CRD. Results: A total of 1,347 and 2,100 patients met inclusion criteria from the MIMIC and eICU databases, respectively. Septic shock requiring three or more vasopressors was associated with a 57.6% in-hospital mortality rate. The model developed from the MIMIC-IV identified increased age (OR [95% CI]: 3.5 [2.3-5.3]), serum creatinine (1.6 [1.5-1.6]), lactate (2.6 [2.5-2.6]), and SOFA score (1.8 [1.1-2.9]) as risk factors for mortality with statistical significance. This model found consistent results within the eICU-CRD. Conclusions: This study demonstrates that patients started on three or more vasopressors face an exceptionally high mortality burden while identifying indicators for those at the highest risk of mortality. These findings may inform management including end-of-life discussions. Future studies should evaluate differences in mortality outcomes based on timing and choice of third-line vasopressor.

Using a machine learning model to predict the development of acute kidney injury in patients with heart failure.

BackgroundHeart failure (HF) is a life-threatening complication of cardiovascular disease. HF patients are more likely to progress to acute kidney injury (AKI) with a poor prognosis. However, it is difficult for doctors to distinguish which patients will develop AKI accurately. This study aimed to construct a machine learning (ML) model to predict AKI occurrence in HF patients.Materials and methodsThe data of HF patients from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database was retrospectively analyzed. A ML model was established to predict AKI development using decision tree, random forest (RF), support vector machine (SVM), K-nearest neighbor (KNN), and logistic regression (LR) algorithms. Thirty-nine demographic, clinical, and treatment features were used for model establishment. Accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUROC) were used to evaluate the performance of the ML algorithms.ResultsA total of 2,678 HF patients were engaged in this study, of whom 919 developed AKI. Among 5 ML algorithms, the RF algorithm exhibited the highest performance with the AUROC of 0.96. In addition, the Gini index showed that the sequential organ function assessment (SOFA) score, partial pressure of oxygen (PaO2), and estimated glomerular filtration rate (eGFR) were highly relevant to AKI development. Finally, to facilitate clinical application, a simple model was constructed using the 10 features screened by the Gini index. The RF algorithm also exhibited the highest performance with the AUROC of 0.95.ConclusionUsing the ML model could accurately predict the development of AKI in HF patients.

Nicotine patches in patients on mechanical ventilation for severe COVID-19: a randomized, double-blind, placebo-controlled, multicentre trial.

PurposeEpidemiologic studies have documented lower rates of active smokers compared to former or non-smokers in symptomatic patients affected by coronavirus disease 2019 (COVID-19). We assessed the efficacy and safety of nicotine administered by a transdermal patch in critically ill patients with COVID-19 pneumonia.MethodsIn this multicentre, double-blind, placebo-controlled trial conducted in 18 intensive care units in France, we randomly assigned adult patients (non-smokers, non-vapers or who had quit smoking/vaping for at least 12 months) with proven COVID-19 pneumonia receiving invasive mechanical ventilation for up to 72 h to receive transdermal patches containing either nicotine at a daily dose of 14 mg or placebo until 48 h following successful weaning from mechanical ventilation or for a maximum of 30 days, followed by 3-week dose tapering by 3.5 mg per week. Randomization was stratified by centre, non- or former smoker status and Sequential Organ Function Assessment score (< or ≥ 7). The primary outcome was day-28 mortality. Main prespecified secondary outcomes included 60-day mortality, time to successful extubation, days alive and free from mechanical ventilation, renal replacement therapy, vasopressor support or organ failure at day 28.ResultsBetween November 6th 2020, and April 2nd 2021, 220 patients were randomized from 18 active recruiting centers. After excluding 2 patients who withdrew consent, 218 patients (152 [70%] men) were included in the analysis: 106 patients to the nicotine group and 112 to the placebo group. Day-28 mortality did not differ between the two groups (30 [28%] of 106 patients in the nicotine group vs 31 [28%] of 112 patients in the placebo group; odds ratio 1.03 [95% confidence interval, CI 0.57–1.87]; p = 0.46). The median number of day-28 ventilator-free days was 0 (IQR 0–14) in the nicotine group and 0 (0–13) in the placebo group (with a difference estimate between the medians of 0 [95% CI -3–7]). Adverse events likely related to nicotine were rare (3%) and similar between the two groups.ConclusionIn patients having developed severe COVID-19 pneumonia requiring invasive mechanical ventilation, transdermal nicotine did not significantly reduce day-28 mortality. There is no indication to use nicotine in this situation.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00134-022-06721-1.

Factors Associated With Mortality in Elderly Hospitalized Patients at Admission.

BackgroundSeveral factors have been associated with mortality prediction among older inpatients. The objective of this study was to assess the factors associated with mortality in hospitalized elderly patients.MethodsA total of 353 consecutively admitted elderly patients (47.9% women), with a median age of 83 years (interquartile range 75.00-88.00), were enrolled in the study and patient characteristics were recorded. Comorbidities were assessed using Charlson Comorbidity Index (CCI), activities of daily living by Barthel Index (BI), frailty was assessed using the Clinical Frailty Scale (CFS), cognition by Global Deterioration Scale (GDS) and symptom severity at admission by quick Sequential Organ Function Assessment (qSOFA) score. CFS, GDS and BI were estimated for the premorbid patients’ status. Parametric and non-parametric tests and binary logistic regression analysis were applied to identify the factors associated with mortality. A receiver operating characteristic (ROC) curve was used to analyse the prognostic value of CFS and qSOFA.ResultsIn total, 55 patients (15.6%) died during hospitalization. In regression analysis, the factors associated with mortality were the qSOFA score at admission (p=0.001, odds ratio [OR]=1.895, 95% confidence interval [CI] 1.282-2.802) and the premorbid CFS score (p=0.001, OR=1.549, 95% CI 1.1204-1.994). The classifiers both have almost similar area under the curve (AUC) scores, with CFS performing slightly better. More specifically, both CFS (AUC 0.79, 95% CI 0.73-0.85, p=0.001) and qSOFA (AUC 0.75, 95% CI 0.67-0.83, p<0.001) showed almost the same accuracy for predicting inpatients’ mortality.ConclusionThis study strengthens the perception of premorbid frailty and disease severity at admission as factors closely related to mortality in hospitalized elderly patients. Simple measures such as CFS and qSOFA score may help identify, in the emergency department, elderly patients at risk, in order to provide timely interventions.

Impact of Extended and Restricted Antibiotic Deescalation on Mortality.

Background: More data are needed about the safety of antibiotic de-escalation in specific clinical situations as a strategy to reduce exposure to broad-spectrum antibiotics. This study aims to compare the survival curve of patient de-escalated (early or late) against those not de-escalated on antibiotics, to determine the association of patient related, clinical related, and pressure sore/device related characteristics on all-cause 30-day mortality and determine the impact of early and late antibiotic de-escalation on 30-day all-cause mortality. Methods: This is a retrospective cohort study on patients in medical ward Hospital Kuala Lumpur, admitted between January 2016 and June 2019. A Kaplan–Meier survival curve and Fleming–Harrington test were used to compare the overall survival rates between early, late, and those not de-escalated on antibiotics while multivariable Cox proportional hazards regression was used to determine prognostic factors associated with mortality and the impact of de-escalation on 30-day all-cause mortality. Results: Overall mortality rates were not significantly different when patients were not de-escalated on extended or restricted antibiotics, compared to those de-escalated early or later (p = 0.760). Variables associated with 30-day all-cause mortality were a Sequential Organ Function Assessment (SOFA) score on the day of antimicrobial stewardship (AMS) intervention and Charlson’s comorbidity score (CCS). After controlling for confounders, early and late antibiotics were not associated with an increased risk of mortality. Conclusion: The results of this study reinforce that restricted or extended antibiotic de-escalation in patients does not significantly affect 30-day all-cause mortality compared to continuation with extended and restricted antibiotics.

Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population.

BackgroundThe incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. Different scoring systems, including The quick Sequential Organ Function Assessment (qSOFA), Combination of Confusion, Urea, Respiratory Rate, Blood Pressure, and Age ≥65 (CURB-65), Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS), were used widely for predicting mortality and ICU admission of patients with community-acquired pneumonia (CAP). This study aimed to identify the most suitable score system for better hospitalization.MethodsWe retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University from 1 January 2018 to 1 January 2020. We recorded information of the patients including age, gender, underlying disease, consciousness state, vital signs, physiological and laboratory variables and further calculated the qSOFA, CURB-65, MEWS, and NEWS scores. Receiver operating characteristic (ROC) curves were used to predict the mortality risk and ICU admission. Kaplan–Meier survival curves were used in survival rate.ResultsIn total, 1044 patients were selected for analysis and divided into two groups, namely survivor groups (902 cases) and non-survivor groups (142 cases). Depending on ICU admission enrolled patients were classified into ICU admission (n = 102) and non-ICU admission (n = 942) groups. Mortality expressed as AUC values were 0.844 (p < 0.001), 0.868 (p < 0.001), 0.927 (p < 0.001) and 0.892 (p < 0.001) for qSOFA, CURB 65, MEWS and NEWS, respectively. There were clear differences in MEWS vs CURB-65 (p < 0.0001), MEWS vs NEWS (p < 0.001), MEWS vs qSOFA (p < 0.0001). For ICU-admission, the AUC values of qSOFA, CURB-65, MEWS and NEWS scores were 0.866 (p < 0.001), 0.854 (p < 0.001), 0.922 (p < 0.001), 0.976 (p < 0.001), respectively. There were significant differences in NEWS vs CURB-65 (p < 0.0001), NEWS vs MEWS (p < 0.001), NEWS vs qSOFA (p < 0.0001).ConclusionWe explored the outcome prediction values of CURB65, qSOFA, MEWS and NEWS for patients aged 65-years and older with community-acquired pneumonia. We found that MEWS showed superiority over the other severity scores in predicting hospital mortality, and NEWS showed superiority over the other scores in predicting ICU admission.

Risk Factors for Sepsis with Worse Outcomes in the ICU Critically Ill Adult Admissions

Background: Sepsis is a life-threatening organ dysfunction caused by infection. What is the major risk factor of sepsis with poor outcomes? This remains unclear. We aimed to investigate the risk factors of sepsis with worse outcomes in a single intensive care unit (ICU) of China. Methods: A retrospective cohort study linked data from the Affiliated Shuyang Hospital of Xuzhou Medical University (Jan 2018–Nov 2019), China. Acute critically ill patients who were undergone a brain-chest-abdomen computed tomograph (CT) scan before arriving at the ICU were selected as an eligibility criteria. The primary outcome measure was mortality at the first 28 days. Outcomes were compared between patients who were survivors and those who were not. Findings: Of 520 ICU admissions, 214 (41.2%) critically ill adults with sepsis and 82.2% (176/214) of community-acquired sepsis were diagnosed by sepsis-3 criteria. The CT scan in this study has showed that more than 80% of sepsis was caused by community-acquired chest infection/pneumonia and was associated with an increased dynamic profile of inflammatory mediators in the blood. In multivariate analyses, risk factors for sepsis with worse outcomes were presentation with a higher sequential organ function assessment (SOFA) score (OR, 1.5; 95% CI, 1.18-2.04) and a higher systemic inflammatory storm syndrome (SISS) score (OR, 8.1; 95% CI, 2.64-26.38). In Cox regression analysis, acute hypoxemic respiratory failure (AHRF)/ARDS was associated with high risk of death in sepsis nonsurvivors, with HR over 6 times as high in sepsis survivors at 28 days. Interpretation: Sepsis cases are mainly from community-acquired pneumonia. Severe SISS and APRF/ARDS are two major risk factors for sepsis with worse outcomes. Funding: Funding was provided from National Clinical Key Specialty Construction Project. Declaration of Interest: None to declare. Ethical Approval: The study was approved by the ethical committee on clinical research of the Affiliated Shuyang Hospital of Xuzhou Medical University

Gargling with 7.5% Sodium Bicarbonate Solution for SARS-CoV-2 Viremia Clearance: Our Institutional Clinical Experience.

BackgroundGargling had been reported to have some roles in the prevention and treatment of respiratory tract infections. The purpose of this study was to assess the ability of regular gargling using 7.5% sodium bicarbonate to eliminate SARS-CoV-2 in the oropharynx and nasopharynx.Materials and methodsThis pilot, open-labeled, nonrandomized, parallel single-center study. The effect of 30 seconds, three times per day gargling using 7.5% sodium bicarbonate solution—25 mL on SARS-CoV-2 viral clearance among coronavirus disease-2019 (COVID-19) patients in a dedicated COVID hospital at All India Institute of Medical Sciences, Patna, Bihar, India. We monitored the progress on by days 0, 1, 2, 3, 4, 5, 6, and 7 by observing variables like clinical category, P/F ratio, neutrophil/lymphocyte ratio (NLR) ratio, platelet count, ferritin, lactate dehydrogenase (LDH), CRP, procalcitonin, d-dimer, INR, APTT, and sequential organ function assessment (SOFA) score. We have also done repeat reverse transcription-polymerase chain reaction (RT-PCR) testing on day 5 and day 7.ResultsA total of 10 patients (7 males and 3 females) were included in our study after confirmed COVID positivity. The age range was from 30 to 61 years. Based on clinical severity and P/F ratio, 7 patients were included in the milder group as their ratio was more than 200 and the rest 3 patients were included in the moderate group as P/F ratio was less than 200. Two respondents had comorbidities, which were non-Hodgkin's lymphoma and ovarian carcinoma. Viral clearance was achieved at day 7 in 3 of 10 patients. However, the analysis of using 7.5% sodium bicarbonate 25 mL gargle statistically showed nonsignificant p-value for all of our studied variables. However, the PCR results were negative on 24 hours apart, i.e., on day 5 and day 7.ConclusionsThis is only a preliminary study which showed that gargling with 7.5% sodium bicarbonate may not be effective in achieving early SARS-CoV-2 viral clearance among mild COVID-19 patients. However, still larger studies are required to ascertain the benefit of gargling for different stages of COVID-19 patients with keeping in mind the important variables suggestive of viremia clearance.How to cite this articleKumar N, Kumar A, Mahto M, Singh PK. Gargling with 7.5% Sodium Bicarbonate Solution for SARS-CoV-2 Viremia Clearance: Our Institutional Clinical Experience. Indian J Crit Care Med 2021;25(7):791–794.

High rate of renal recovery in survivors of COVID-19 associated acute renal failure requiring renal replacement therapy.

IntroductionA large proportion of patients with COVID-19 develop acute kidney injury (AKI). While the most severe of these cases require renal replacement therapy (RRT), little is known about their clinical course.MethodsWe describe the clinical characteristics of COVID-19 patients in the ICU with AKI requiring RRT at an academic medical center in New York City and followed patients for outcomes of death and renal recovery using time-to-event analyses.ResultsOur cohort of 115 patients represented 23% of all ICU admissions at our center, with a peak prevalence of 29%. Patients were followed for a median of 29 days (2542 total patient-RRT-days; median 54 days for survivors). Mechanical ventilation and vasopressor use were common (99% and 84%, respectively), and the median Sequential Organ Function Assessment (SOFA) score was 14. By the end of follow-up 51% died, 41% recovered kidney function (84% of survivors), and 8% still needed RRT (survival probability at 60 days: 0.46 [95% CI: 0.36–0.56])). In an adjusted Cox model, coronary artery disease and chronic obstructive pulmonary disease were associated with increased mortality (HRs: 3.99 [95% CI 1.46–10.90] and 3.10 [95% CI 1.25–7.66]) as were angiotensin-converting-enzyme inhibitors (HR 2.33 [95% CI 1.21–4.47]) and a SOFA score >15 (HR 3.46 [95% CI 1.65–7.25).Conclusions and relevanceOur analysis demonstrates the high prevalence of AKI requiring RRT among critically ill patients with COVID-19 and is associated with a high mortality, however, the rate of renal recovery is high among survivors and should inform shared-decision making.

Continuous renal replacement therapy with the addition of CytoSorb cartridge in critically ill patients with COVID-19 plus acute kidney injury: A case-series.

Our aim was to investigate continuous renal replacement therapy (CRRT) with CytoSorb cartridge for patients with life‐threatening COVID‐19 plus acute kidney injury (AKI), sepsis, acute respiratory distress syndrome (ARDS), and cytokine release syndrome (CRS). Of 492 COVID‐19 patients admitted to our intensive care unit (ICU), 50 had AKI necessitating CRRT (10.16%) and were enrolled in the study. Upon ICU admission, all had AKI, ARDS, septic shock, and CRS. In addition to CRRT with CytoSorb, all received ARDS‐net ventilation, prone positioning, plus empiric ribavirin, interferon beta‐1b, antibiotics, hydrocortisone, and prophylactic anticoagulation. We retrospectively analyzed inflammatory biomarkers, oxygenation, organ function, duration of mechanical ventilation, ICU length‐of‐stay, and mortality on day‐28 post‐ICU admission. Patients were 49.64 ± 8.90 years old (78% male) with body mass index of 26.70 ± 2.76 kg/m2. On ICU admission, mean Acute Physiology and Chronic Health Evaluation (APACHE) II was 22.52 ± 1.1. Sequential Organ Function Assessment (SOFA) score was 9.36 ± 2.068 and the ratio of partial arterial pressure of oxygen to fractional inspired concentration of oxygen (PaO2/FiO2) was 117.46 ± 36.92. Duration of mechanical ventilation was 17.38 ± 7.39 days, ICU length‐of‐stay was 20.70 ± 8.83 days, and mortality 28 days post‐ICU admission was 30%. Nonsurvivors had higher levels of inflammatory biomarkers, and more unresolved shock, ARDS, AKI, and pulmonary emboli (8% vs. 4%, P < .05) compared to survivors. After 2 ± 1 CRRT sessions with CytoSorb, survivors had decreased SOFA scores, lactate dehydrogenase, ferritin, D‐dimers, C‐reactive protein, and interleukin‐6; and increased PaO2/FiO2 ratios, and lymphocyte counts (all P < .05). Receiver‐operator‐curve analysis showed that posttherapy values of interleukin‐6 (cutoff point >620 pg/mL) predicted in‐hospital mortality for critically ill COVID‐19 patients (area‐under‐the‐curve: 0.87, 95% CI: 0.81‐0.93; P = .001). No side effects of therapy were recorded. In this retrospective case‐series, CRRT with the CytoSorb cartridge provided a safe rescue therapy in life‐threatening COVID‐19 with associated AKI, ARDS, sepsis, and hyperinflammation.

SOFA score and short-term mortality in acute decompensated heart failure

Acute decompensated heart failure (ADHF) is one of the leading causes for hospitalization and mortality. Identifying high risk patients is essential to ensure proper management. Sequential Organ Function Assessment Score (SOFA) is considered an excellent score to predict short-term mortality in sepsis and other life-threatening conditions. To assess the capability of SOFA score in predicting short-term mortality in ADHF. We retrospectively identified patients with first hospitalization with primary diagnosis of ADHF between the years (2008–2018). The SOFA score was calculated for all patients. A total 3232 patients were included in the study. The SOFA score was significantly associated with in-hospital mortality and 30-day mortality. The odds ratios for 1-point increase in the SOFA score were 1.86 (95% CI 1.68–1.96) and 1.627 (95% CI 1.523–1.737) respectively. The SOFA Score demonstrated a good predictive accuracy. The areas under the curve of receiver operating characteristic curves for in-hospital mortality and 30-day mortality were 0.765 (95% CI 0.733–0.798) and 0.706 (95% CI 0.676–0.736) respectively. SOFA score is associated with increased risk of short-term mortality in ADHF. SOFA can be used as a complementary risk score to screen high risk patients who need strict monitoring.

The utility of MEWS for predicting the mortality in the elderly adults with COVID-19: a retrospective cohort study with comparison to other predictive clinical scores.

BackgroundOlder adults have been reported to be a population with high-risk of death in the COVID-19 outbreak. Rapid detection of high-risk patients is crucial to reduce mortality in this population. The aim of this study was to evaluate the prognositc accuracy of the Modified Early Warning Score (MEWS) for in-hospital mortality in older adults with COVID-19.MethodsA retrospective cohort study was conducted in Wuhan Hankou Hospital in China from 1 January 2020 to 29 February 2020. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of MEWS, Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Function Assessment (SOFA), quick Sequential Organ Function Assessment (qSOFA), Pneumonia Severity Index (PSI), Combination of Confusion, Urea, Respiratory Rate, Blood Pressure, and Age ≥65 (CURB-65), and the Systemic Inflammatory Response Syndrome Criteria (SIRS) for in-hospital mortality. Logistic regression models were performed to detect the high-risk older adults with COVID-19.ResultsAmong the 235 patients included in this study, 37 (15.74%) died and 131 (55.74%) were male, with an average age of 70.61 years (SD 8.02). ROC analysis suggested that the capacity of MEWS in predicting in-hospital mortality was as good as the APACHE II, SOFA, PSI and qSOFA (Difference in AUROC: MEWS vs. APACHE II, −0.025 (95% CI [−0.075 to 0.026]); MEWS vs. SOFA, −0.013 (95% CI [−0.049 to 0.024]); MEWS vs. PSI, −0.015 (95% CI [−0.065 to 0.035]); MEWS vs. qSOFA, 0.024 (95% CI [−0.029 to 0.076]), all P > 0.05), but was significantly higher than SIRS and CURB-65 (Difference in AUROC: MEWS vs. SIRS, 0.218 (95% CI [0.156–0.279]); MEWS vs. CURB-65, 0.064 (95% CI [0.002–0.125]), all P < 0.05). Logistic regression models implied that the male patients (≥75 years) had higher risk of death than the other older adults (estimated coefficients: 1.16, P = 0.044). Our analysis further suggests that the cut-off points of the MEWS score for the male patients (≥75 years) subpopulation and the other elderly patients should be 2.5 and 3.5, respectively.ConclusionsMEWS is an efficient tool for rapid assessment of elderly COVID-19 patients. MEWS has promising performance in predicting in-hospital mortality and identifying the high-risk group in elderly patients with COVID-19.

Therapeutic plasma exchange in adult critically ill patients with life-threatening SARS-CoV-2 disease: A pilot study.

We investigated the effect of therapeutic plasma exchange (TPE) on life-threatening COVID-19; presenting as acute respiratory distress syndrome (ARDS) plus multi-system organ failure and cytokine release syndrome (CRS). We prospectively enrolled ten consecutive adult intensive care unit (ICU) subjects [7 males; median age: 51 interquartile range (IQR): 45.1-55.9years old] with life-threatening COVID-19 infection. All had ARDS [PaO2/FiO2 ratio: 110 (IQR): 95.5-135.5], septic shock, CRS and deteriorated within 24h of ICU admission despite fluid resuscitation, antibiotics, hydroxychloroquine, ARDS-net and prone position mechanical ventilation. All received 5-7 TPE sessions (dosed as 1.0 to 1.5 plasma volumes). All of the following significantly normalized (p<0.05) following the TPE completion, when compared to baseline: Sequential Organ Function Assessment score, PaO2/FiO2 ratio, levels of lymphocytes, total bilirubin, lactate dehydrogenase, ferritin, C-reactive protein and interleukin-6. No adverse effects from TPE were observed. Acute kidney injury and pulmonary embolism were observed in 10% and 20% of patients, respectively. The duration of mechanical ventilation was 9 (IQR: 7 to 12) days, the ICU length of stay was 15 (IQR: 13.2 to 19.6) days and the mortality on day-28 was 10%. TPE demonstrates a potential survival benefit and low risk in life-threatening COVID-19, albeit in a small pilot study.

Intensive Care Unit Delirium in Surgical Patients Is Associated with Upregulation in Tryptophan Metabolism.

In intensive care unit (ICU) patients, delirium is frequent, occurs early in ICU admission, and is associated with poor outcomes. Risk models based on clinical factors have shown variable performance in terms of predictive ability. Identification of a candidate biomarker that associates with delirium may lead to a better understanding of disease mechanism, validation biomarker studies, and the ability to develop targeted interventions for prevention and treatment of delirium. This study analyzed metabolite concentrations early in the course of ICU admission to assess the association with delirium onset. Within 24hours of ICU admission, blood samples for global and targeted metabolomics analyses in adult surgical ICU patients were collected prospectively. Metabolites were determined using mass spectrometry/ultra-high-pressure liquid chromatography and analyzed in patients with delirium and a group of controls matched on age, sex, and admission Sequential Organ Function Assessment (SOFA) score. Patients in the study (65 per group) were a mean age of 59years, had a median SOFA score of 6, and were most commonly admitted to the ICU following major trauma. In the delirium group, median onset of delirium was 3 (interquartile range 1-6) days, and the most common delirium subtype was mixed (56%). Kynurenic acid was significantly increased, and tryptophan concentration was significantly decreased in the delirium group (p=0.04). The ratio of kynurenine-to-tryptophan concentration was significantly higher in the delirium group (p=0.005). Evidence of upregulation was found in the tryptophan metabolic pathway in delirious patients because tryptophan concentrations were lower, tryptophan metabolites were higher, and the kynurenine-to-tryptophan ratio was increased. These findings suggest a role of increased inflammation and accumulation of neurotoxic metabolites in the pathogenesis of ICU delirium. Future studies should target this pathway to validate metabolites in the tryptophan pathway as risk biomarkers in patients with ICU delirium.

Plasma osteopontin levels in patients with acute kidney injury requiring dialysis: a study in a tertiary care institute in South India.

Osteopontin (OPN) is evolving as a novel biomarker of injury, overall survival and renal outcome in critically ill patients with acute kidney injury (AKI), requiring renal replacement therapy. We performed a prospective study on 35 consecutive patients of acute kidney injury requiring renal replacement therapy (AKIN stage 3). OPN levels were measured in the patients and in the controls. The relation between OPN and the severity of illness and its effect on the AKI and renal outcome were studied. There was a statistically significant elevation of OPN in patients of AKIN stage 3 in comparison to healthy controls (p = 0.001). The Sequential Organ Function Assessment (SOFA) scores were found to be higher in septic group in comparison to non-septic group and it was statistically significant (p = 0.014). There was significant correlation between SOFA scoring and OPN levels suggesting its association with severity (r = 0.382, p = 0.023). In our study, OPN was found to be a valuable marker of severity of injury, its association with sepsis and renal recovery, in patients with acute kidney injury needing renal replacement therapy.