Objective: The kidney disease: improving global outcome (KDIGO) and pediatric reference change value optimized for acute kidney injury (pROCK) criteria were used to evaluate the incidence, stages and mortality of acute kidney injury (AKI). The differences between the 2 criteria were compared for exploring the value of pROCK criteria in diagnosing pediatric AKI and predicting adverse outcomes. Methods: In the multicenter prospective clinical cohort study, we collected general data and clinical data such as serum creatinine values from 1 120 children admitted to 4 PICUs of Children's Hospital of Soochow University, Children's Hospital of Fudan University, Anhui Provincial Children's Hospital, and Xuzhou Children's Hospital from September 2019 to February 2021. AKI was defined and staged according to the KDIGO and pROCK criteria. The incidence of AKI, the consistency of AKI definite diagnosis and stages, and the mortality in PICU were compared between the 2 groups. The chi-square test or Fisher's exact test was applied for comparison between 2 groups. The Cohen's Kappa and Weighted Kappa analyses were used for evaluating diagnostic consistency. The Cox regression analysis was used to evaluate the correlation between AKI and mortality. Results: A total of 1 120 critically ill children were included, with an age of 33 (10, 84) months. There are 668 boys and 452 girls. The incidence of AKI defined by the KDIGO guideline was higher than that defined by pROCK criteria (27.2%(305/1 120), 14.7%(165/1 120), χ²=52.78, P<0.001). The concordance rates of the 2 criteria for the diagnosis of AKI and AKI staging were 87.0% (κ=0.62) and 79.7% (κ=0.58), respectively. Totally 63 infants with AKI stage 1 defined by the KDIGO guideline were redefined as non-AKI by following the pROCK criteria. The PICU mortality rate of these infants was similar to patients without AKI defined by KDIGO guideline(P=0.761). After adjusting for confounders, AKI defined by KDIGO or pROCK criteria was an independent risk factor of death in PICU (AHR=2.04, 2.73,95%CI 1.27-3.29, 1.74-4.28, both P<0.01), and the risk of death was higher when using the pROCK compared with the KDIGO criteria. As for the KDIGO criteria, mild AKI was not associated with the mortality in PICU (P=0.702), while severe AKI was associated with increased mortality (P<0.001). As for the pROCK criteria, both mild and severe AKI were risk factors of PICU death in children (HR=3.51, 6.70, 95%CI 1.94-6.34, 4.30-10.44, both P<0.001). In addition, The AKI severity was positively associated with the mortality. Conclusions: The AKI incidence and staging varied depending on the used diagnostic criteria. The KDIGO definition is more sensitive, while the pROCK-defined AKI is more strongly associated with high mortality rate.
Child ; Child, Preschool ; Female ; Humans ; Infant ; Male ; Acute Kidney Injury/epidemiology* ; Cohort Studies ; Critical Illness ; Prospective Studies ; Risk Factors

INTRODUCTION: There is paucity of data on the occurrence of cardiovascular events (CVEs) in critically ill patients with sepsis. We aimed to describe the incidence, risk factors and impact on mortality of CVEs in these patients. METHODS: This was a retrospective cohort study of critically ill patients admitted to the medical intensive care unit (ICU) between July 2015 and October 2016. The primary outcome was intra-hospital CVEs, while the secondary outcomes were in-hospital mortality, ICU and hospital length of stay. RESULTS: Patients with sepsis (n=662) had significantly more CVEs compared to those without (52.9% versus 23.0%, P<0.001). Among sepsis patients, 350 (52.9%) had 1 or more CVEs: 59 (8.9%) acute coronary syndrome; 198 (29.9%) type 2 myocardial infarction; 124 (18.7%) incident atrial fibrillation; 76 (11.5%) new or worsening heart failure; 32 (4.8%) cerebrovascular accident; and 33 (5.0%) cardiovascular death. Factors associated with an increased risk of CVEs (adjusted relative risk [95% confidence interval]) included age (1.013 [1.007-1.019]); ethnicity-Malay (1.214 [1.005-1.465]) and Indian (1.240 [1.030-1.494]) when compared to Chinese; and comorbidity of ischaemic heart disease (1.317 [1.137-1.527]). There were 278 patients (79.4%) who developed CVEs within the first week of hospitalisation. Sepsis patients with CVEs had a longer median (interquartile range [IQR]) length of stay in the ICU (6 [3-12] vs 4 [2-9] days, P<0.001), and hospital (21 [10-42] vs 15 [7-30] days, P<0.001) compared to sepsis patients without CVEs. There was no difference in in-hospital mortality between the 2 groups (46.9% vs 45.8%, P=0.792). CONCLUSION CVEs complicate half of the critically ill patients with sepsis, with 79.4% of patients developing CVEs within the first week of hospitalisation, resulting in longer ICU and hospital length of stay.
Cardiovascular Diseases/epidemiology* ; Critical Illness/epidemiology* ; Hospital Mortality ; Humans ; Intensive Care Units ; Length of Stay ; Retrospective Studies ; Risk Factors ; Sepsis/epidemiology*

OBJECTIVES: Coronavirus disease 2019 (COVID-19) in elderly and patients with chronic respiratory diseases (COPD) had a poor prognosis. COPD is one of the most common chronic respiratory diseases. We explore the epidemiological characteristics of patients with severe COVID-19 with COPD patients in order to provide medical evidence for the prevention and treatment of severe COVID-19. METHODS: We retrospectively analyzed the clinical baseline characteristics, treatment strategies, disease progression and prognosis of 557 severe COVID-19 patients admitted to the West Court of Union Hospital of Huazhong University of Science and Technology from January 29, 2020 to April 8, 2020. RESULTS: A total of 465 patients with severe COVID-19 were enrolled in the study, including 248 (53.3%) males and 217 (46.7%) females. The median age of severe COVID-19 patients was 62.0 years, and 53 patients were complicated with COPD. Common symptoms at the onset included fever (78.5%), dry cough (67.1%), shortness of breath (47.3%) and fatigue (40.9%). Compared with non-COPD patients, patients with COPD had significantly lower levels of SpO2 in admission (90.0% vs 92.0%, P=0.014). In terms of laboratory examinations, patients with COPD had higher levels of C-reactive protein, interleukin-6, procalcitonin, total bilirubin, blood urea nitrogen, serum creatinine, lipoprotein (a), high-sensitivity troponin I, and D-dimer, while had lower levels of platelet counts, albumin and apolipoprotein AI. Severe COVID-19 patients with COPD had higher Sequential Organ Failure Assessment scores [3.0(2.0, 3.0) vs 2.0(2.0, 3.0), P=0.038] and CURB-65 score [1.0(1.0, 2.0) vs1.0(0.0, 1.0), P<0.001], and a higher proportion of progressing to critical illness (28.3% vs 10.0%, P<0.001) with more complications [e.g. septic shock (15.1% vs 6.1%, P=0.034)], had higher incidence rates of antibiotic therapies (90.6% vs 77.2%, P=0.025), non-invasive (11.3% vs 1.7%, P<0.001) and invasive mechanical ventilation (17.0% vs 8.3%, P=0.039), ICU admission (17.0% vs 7.5%, P=0.021) and death (15.1% vs 6.1%, P=0.016). Cox proportion hazard model was carried out, and the results showed that comorbid COPD was an independent risk factor for severe COVID-19 patients progressing to critical type, after adjusting for age and gender [adjusted hazard ratio (AHR)=2.38(1.30-4.37), P=0.005] and additionally adjusting for chronic kidney diseases, hypertension, coronary heart disease [AHR=2.63(1.45-4.77), P<0.001], or additionally adjusting for some statistically significant laboratory findings [AHR=2.10(1.13-3.89), P=0.018]. CONCLUSIONS Severe COVID-19 patients with COPD have higher levels of disease severity, proportion of progression to critical illness and mortality rate. Individualized treatment strategies should be adopted to improve the prognosis of severe COVID-19 patients.
Male ; Female ; Humans ; Aged ; Middle Aged ; COVID-19/complications* ; SARS-CoV-2 ; Retrospective Studies ; Critical Illness ; Pulmonary Disease, Chronic Obstructive/epidemiology*

Child ; Critical Illness ; Hospital Mortality ; Humans ; Virus Diseases/epidemiology*

OBJECTIVES: To investigate the changes in the disease spectrum among hospitalized children in the pediatric intensive care units (PICU) within 2 years before and after the outbreak of coronavirus disease 2019 (COVID-19). METHODS: The related data on disease diagnosis were collected from all children who were hospitalized in the PICU of Affiliated Hospital of Jining Medical College from January 2018 to December 2019 (pre-COVID-19 group) and from January 2020 to December 2021 (post-COVID-19 group). A statistical analysis was performed for the disease spectrum of the two groups. RESULTS: There were 2 368 children in the pre-COVID-19 group and 1 653 children in the post-COVID-19 group. The number of children in the post-COVID-19 group was reduced by 30.19% compared with that in the pre-COVID-19 group. There was a significant difference in age composition between the two groups (P<0.05). The top 10 diseases in the pre-COVID-19 group by number of cases were respiratory diseases, neurological diseases, sepsis, critical illness, circulatory system diseases, severe neurosurgical diseases, digestive system diseases, unintentional injuries, endocrine system diseases, and tumors. The top 10 diseases in the post-COVID-19 group by number of cases were respiratory diseases, neurological diseases, sepsis, circulatory system diseases, unintentional injuries, endocrine system diseases, severe neurosurgical diseases, acute abdomen, trauma surgical diseases, and digestive system diseases. The proportions of respiratory diseases, critical illness and severe neurosurgical diseases in the post-COVID-19 group were lower than those in the pre-COVID-19 group (P<0.05), while the proportions of unintentional injuries, acute abdomen, endocrine system diseases, trauma surgical diseases and sepsis were higher than those in the pre-COVID-19 group (P<0.05). CONCLUSIONS COVID-19 epidemic has led to a significant reduction in the number of children admitted to the PICU, and there are significant changes in the disease spectrum within 2 years before and after the outbreak of COVID-19. Relevant prevention and control measures taken during the COVID-19 epidemic can reduce the incidence of respiratory diseases, neurological diseases, and other critical illness in children, but it is necessary to strengthen the prevention of unintentional injuries and chronic disease management during the epidemic.
Child ; Humans ; COVID-19/epidemiology* ; Critical Illness ; Intensive Care Units, Pediatric ; Sepsis/epidemiology* ; Epidemics ; Nervous System Diseases ; Retrospective Studies

OBJECTIVES: To investigate the risk factors for acute kidney injury (AKI) in children with cardiac arrest (CA) and the influencing factors for prognosis. METHODS: A retrospective analysis was performed on the medical records of the children who developed CA in the pediatric intensive care unit (PICU) of Hunan Children's Hospital from June 2016 to June 2021. According to the presence or absence of AKI within 48 hours after return of spontaneous circulation (ROSC) for CA, the children were divided into two groups: AKI (n=50) and non-AKI (n=113). According to their prognosis on day 7 after ROSC, the AKI group was further divided into a survival group (n=21) and a death group (n=29). The multivariate logistic regression analysis was used to investigate the risk factors for early AKI in the children with CA and the influencing factors for prognosis. RESULTS: The incidence rate of AKI after CA was 30.7% (50/163). The AKI group had a 7-day mortality rate of 58.0% (29/50) and a 28-day mortality rate of 78.0% (39/50), and the non-AKI group had a 7-day mortality rate of 31.9% (36/113) and a 28-day mortality rate of 58.4% (66/113). The multivariate logistic regression analysis showed that long duration of cardiopulmonary resuscitation (OR=1.164, 95%CI: 1.088-1.246, P<0.001), low baseline albumin (OR=0.879, 95%CI: 0.806-0.958, P=0.003), and adrenaline administration before CA (OR=2.791, 95%CI: 1.119-6.961, P=0.028) were closely associated with the development of AKI after CA, and that low baseline pediatric critical illness score (OR=0.761, 95%CI: 0.612-0.945, P=0.014), adrenaline administration before CA (OR=7.018, 95%CI: 1.196-41.188, P=0.031), and mechanical ventilation before CA (OR=7.875, 95%CI: 1.358-45.672, P=0.021) were closely associated with the death of the children with AKI after CA. CONCLUSIONS Albumin should be closely monitored for children with ROSC after CA, especially for those with long duration of cardiopulmonary resuscitation, low baseline pediatric critical illness score, adrenaline administration before CA, and mechanical ventilation before CA, and such children should be identified and intervened as early as possible to reduce the incidence of AKI and the mortality rate.
Child ; Humans ; Prognosis ; Retrospective Studies ; Critical Illness ; Heart Arrest/complications* ; Acute Kidney Injury/epidemiology* ; Intensive Care Units, Pediatric ; Risk Factors ; Epinephrine ; Albumins

INTRODUCTION: To improve the nutritional care and resource allocation of critically ill patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), we described their characteristics, treatment modalities and clinical outcomes, and compared their nutrition interventions against the American Society for Parenteral and Enteral Nutrition (ASPEN) recommendations. METHODS: This was a retrospective observational study conducted in 5 tertiary hospitals in Singapore. Characteristics, treatment modalities, clinical outcomes and nutrition interventions of critically ill patients with SARS-CoV-2 who received enteral and parenteral nutrition were collected between January and May 2020. RESULTS: Among the 83 critically ill patients with SARS-CoV-2, 22 (28%) were obese, 45 (54%) had hypertension, and 21 (25%) had diabetes. Neuromuscular blockade, prone therapy and dialysis were applied in 70% (58), 47% (39) and 35% (29) of the patients, respectively. Refeeding hypophosphataemia and hospital mortality occurred respectively in 6% (5) and 18% (15) of the critically ill patients with SARS-CoV-2. Late enteral nutrition and cardiovascular comorbidities were associated with higher hospital mortality (adjusted relative risk 9.00, 95% confidence interval [CI] 2.25-35.99; 6.30, 95% CI 1.15-34.40, respectively). Prone therapy was not associated with a higher incidence of high gastric residual volume (≥250mL). The minimum caloric (15kcal/kg) and protein (1.2g/kg) recommendations of ASPEN were achieved in 54% (39) and 0% of the patients, respectively. CONCLUSION The high obesity prevalence and frequent usage of neuromuscular blockade, prone therapy, and dialysis had considerable implications for the nutritional care of critically ill patients with SARS-CoV-2. They also did not receive adequate calories and protein. More audits should be conducted to refine nutritional interventions and guidelines for this ever-evolving disease.
COVID-19/therapy* ; Critical Illness/therapy* ; Humans ; Nutritional Support ; SARS-CoV-2 ; Singapore/epidemiology* ; United States

COVID-19 has spread globally, infecting and killing millions of people worldwide. The use of operating rooms (ORs) and the post-anaesthesia care unit (PACU) for intensive care is part of surge response planning. We aim to describe and discuss some of the practical considerations involved in a large tertiary hospital in Singapore. Firstly, considerations for setting up a level III intensive care unit (ICU) include that of space, staff, supplies and standards. Secondly, oxygen supply of the entire hospital is a major determinant of the number of ventilators it can support, including those on non-invasive forms of oxygen therapy. Thirdly, air flows due to positive pressure systems within the OR complex need to be addressed. In addition, due to the worldwide shortage of ICU ventilators, the US Food and Drug Administration has granted temporary approval for the use of anaesthesia gas machines for patients requiring mechanical ventilation. Lastly, planning of logistics and staff deployment needs to be carefully considered during a crisis. Although OR and PACU are not designed for long-term care of critically ill patients, they may be adapted for ICU use with careful planning in the current pandemic.
COVID-19/therapy* ; Critical Care/organization & administration* ; Critical Illness ; Health Care Rationing/organization & administration* ; Health Resources/organization & administration* ; Health Services Accessibility/organization & administration* ; Humans ; Intensive Care Units/organization & administration* ; Operating Rooms/organization & administration* ; Pandemics ; Respiration, Artificial ; Singapore/epidemiology* ; Tertiary Care Centers/organization & administration*

OBJECTIVE: To evaluate the incidence and mortality risk factors of pregnancy-related acute kidney injury (PR-AKI) in intensive care unit (ICU). METHODS: A retrospective analysis was conducted. Critically ill pregnancies admitted to ICU of Shandong University Affiliated Provincial Hospital from January 1st, 2012 to December 31st, 2016 were enrolled. Based on the Kidney Disease: Improving Global Outcomes (KDIGO)-acute kidney injury (AKI) criteria, patients were divided into two groups: PR-AKI group and non-PR-AKI group. Clinical characteristics and laboratory data of two groups were compared. Risk factors of incidence and mortality of PR-AKI patients were analyzed, and the receiver operating characteristic (ROC) curve was drawn to evaluate the value of these risk factors in predicting mortality of PR-AKI patients in ICU. RESULTS: (1) A total of 219 pregnancies in ICU were included in the analysis, 85 cases (38.8%) were diagnosed with PR-AKI, with 29.4% in AKI stage 1, 27.1% in AKI stage 2 and 43.5% in AKI stage 3. (2) Nineteen of 219 critically ill pregnancies died in ICU, the total ICU mortality was 8.7%. The mortality of PR-AKI group was higher than non-PR-AKI group (16.5% vs. 3.7%, P = 0.003). The mortality was worsened with increasing severity of AKI (4.0% for AKI stage 1, 4.3% for AKI stage 2, 32.4% for AKI stage 3). (3) Acute fatty liver of pregnancy (AFLP) and lactate (Lac) were the independent risk factors for PR-AKI [AFLP: odds ratio (OR) = 6.081, 95% confidence interval (95%CI) was 1.587-23.308, P = 0.008; Lac: OR = 1.460, 95%CI was 1.078-1.977, P = 0.014]. (4) Age, Lac, acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) were the independent risk factors associated with the mortality of PR-AKI patients in ICU (age: OR = 1.130, 95%CI was 1.022-1.249, P = 0.017; Lac: OR = 1.198, 95%CI was 1.009-2.421, P = 0.039; APACHE II: OR = 1.211, 95%CI was 1.102-1.330, P < 0.001; SOFA: OR = 1.411, 95%CI was 1.193-1.669, P < 0.001). (5) ROC curve analysis showed that age, Lac, APACHE II score and SOFA score all had good predictive values for in-hospital mortality among PR-AKI patients in ICU, the cut-off value was 29 years old, 3.8 mmol/L, 16 and 8, respectively, and the AUC was 0.751, 0.757, 0.892 and 0.919, respectively (all P < 0.01). CONCLUSIONS The incidence and mortality of PR-AKI of critically ill pregnancies in ICU are high. Increased age, Lac, APACHE II score and SOFA score are independent risk factors associated with the mortality of PR-AKI patients in ICU, and have good predictive values for prognosis.
Acute Kidney Injury/epidemiology* ; Adult ; Critical Illness/epidemiology* ; Female ; Humans ; Incidence ; Intensive Care Units ; Pregnancy ; Prognosis ; ROC Curve ; Retrospective Studies ; Risk Factors

OBJECTIVETo investigate the epidemiological profile of acute kidney injury (AKI) in the Chinese critical patients.

METHODSThe hospitalization data and serum creatinine data of critically ill adult patients were collected from 9 regional central hospitals across China in 2013. Kidney Disease Improving Global Outcomes (KDIGO 2012) criteria was used to define and stage AKI. The demographic characteristics of the patients, comorbidities, stage of AKI, in-hospital outcomes and risk factors were retrospectively analyzed.

RESULTSOf the total of 14 305 critically ill patients included in the study, 4298 (30.04%) were identified to have AKI, including 2240 (52.1%) in stage 1, 845 (19.7%) in stage 2, and 1213 (28.2%) in stage 3. The in-hospital mortality rate was 16.7% (716/4298) and the odds ratio for death was 7.59 (95%CI 6.54-8.79, P<0.001). The length of hospital stay, daily cost, and mortality rate were associated with the stage of AKI. Multivariate analysis identified chronic kidney disease (OR=5.45, 95%CI: 4.71-6.32, P<0.001), extra-renal organ failure (OR=12.57, 95%CI: 11.24-14.07, P<0.001), shock (OR=2.44, 95%CI: 2.01-2.96, P<0.001) and cardiac surgery (OR=5.96, 95%CI: 5.16-6.87, P<0.001) as the independent risk factors for AKI. Only 5.4% of the AKI patients whose serum creatinine change met the KDIGO criteria during hospitalization received the diagnosis of AKI upon discharge.

CONCLUSIONAKI is common in critically ill patients and associated with high mortality rates and poor outcomes. The stage of AKI is related with the in-hospital outcomes of the patients. Chronic kidney disease, extra-renal organ failure, shock and cardiac surgery are the major risk factors for AKI in these patients. Missed diagnosis occurs in most of the AKI cases, which urges more awareness of the condition in the critically ill patients during hospitalization.

Acute Kidney Injury ; epidemiology ; Adult ; Cardiac Surgical Procedures ; China ; Critical Illness ; Hospital Mortality ; Humans ; Kidney ; physiopathology ; Kidney Function Tests ; Length of Stay ; Multiple Organ Failure ; epidemiology ; Odds Ratio ; Renal Insufficiency, Chronic ; epidemiology ; Retrospective Studies ; Risk Factors ; Shock ; epidemiology