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Background Approximately 13-31% of medical critical care patients develop deep vein thrombosis (DVT). However, there are very few reports regarding the incidence of DVT among Asian patients without routine prophylaxis. The objectives of this study were to assess the prevalence and incidence proportion of proximal DVT in Thai medical critical care patients not receiving thrombosis prophylaxis. Methods We conducted a prospective cohort study in medical critical care patients admitted to Siriraj Hospital, Thailand between November 2008 and November 2009. Patients were screened for proximal DVT by duplex ultrasonography performed 48 h, 7, 14 and 28 days after admission. Primary outcomes were prevalence and incidence proportion of DVT. Factors associated with the development of proximal DVT were evaluated by multivariate analysis. Results Of the 158 patients enrolled in the study, 25 had proximal DVT (15.8%). Nine patients (5.7%) had DVT on the first test at 48 h, while 10 (6.3%), 2 (1.3%) and 4 (2.5%) patients had developed DVT on days 7, 14, and 28, respectively. Thus, the prevalence at the beginning of the study was 5.7% (95%CI 2.6-10.5) and the incidence proportion was 10.1% (95%CI 5.9-15.9). The multivariate analysis showed that age (odds ratio [OR] per 1-year increase was 1.04, 95% confidence interval [CI] 1.01-1.07), female gender (OR 4.05, 95%CI 1.51-12.03), femoral venous catheter (OR 11.18, 95%CI 3.19-44.83), and the absence of platelet transfusion (OR 0.07, 95%CI 0.003-0.43) were associated with the development of proximal DVT. Patients with proximal DVT had a longer hospital length of stay (22 days [IQR 11-60] vs. 14 days [7-23], p = 0.03) and spent more time on mechanical ventilation (10 days (3.3-57) vs. 6 days (3-12), p = 0.053) than patients without DVT. Patient mortality was not affected by the presence of DVT (52% vs. 38.3%, p = 0.29). Conclusions Routine thromboprophylaxis is not used in our institution and the prevalence and incidence proportion of proximal DVT in Asian medical critical care patients were both substantial. Patients with older age, female gender, an intravenous femoral catheter, and the absence of platelet transfusion all had a higher chance of developing proximal DVT.

Background: Due to the pivotal role of inflammatory cytokines in sepsis, hemoperfusion with cytokine adsorbents may lead to better outcomes. Although previous studies showed inconclusive results, proper patient selection and timing of hemoperfusion may lead to improved survival. Objectives: To examine whether patients with septic shock requiring high-dose vasopressors undergoing add-on hemoperfusion with a cytokine adsorbent have better clinical outcomes than those treated with standard treatment alone. Methods: This is a multi-center, randomized controlled study in 2 tertiary care centers. 206 patients with septic shock receiving norepinephrine of 0.2 mcg/kg/min or higher are randomized to receive either standard treatment combined with 3-hour sessions of hemoperfusion with cytokine adsorbent for two consecutive days (HP group) or standard treatment alone (ST group). The primary outcome is 28-day mortality. Secondary outcomes include hospital and ICU mortality, shock reversal, vasoactive-inotropic score (VIS), organ support-free days, interleukin-6 levels, as well as safety data. Conclusions: This study will provide information to guide the use of hemoperfusion with a cytokine adsorbent in patients with septic shock.

BACKGROUND: Treatments for ARDS that improve patient outcomes include use of lung-protective ventilation, prone ventilation, and conservative fluid management. Implementation of ARDS protocols via educational programs might improve adherence and outcomes. The objective of this study was to investigate the effects of an ARDS protocol implementation on outcomes and adherence with ARDS guidelines. METHODS: This was a single-center, interventional, comparative study before and after protocol implementation. Staff education for the ARDS protocol was implemented between June 2014 and May 2015. A retrospective cohort analysis was conducted during between January 2012 and May 2014 (pre-protocol) and between June 2015 and June 2017 (post-protocol). A total of 450 subjects with ARDS were included. After propensity score matching, 432 subjects were analyzed. Of those, 330 subjects were treated after protocol implementation. RESULTS: The median (interquartile range [IQR]) plateau pressure and tidal volume over the first 3 d decreased significantly after protocol implementation (30.5 [IQR 24.2–33] vs 25.5 [IQR 21.7–30], P = .01 and 7.65 vs 7.4 mL/kg predicted body weight, P = .032, respectively). The percentage of subjects with unsafe tidal volume (> 10 mL/kg predicted body weight) decreased (14.4% vs 5.8%, P = .02). The percentage of subjects with safe plateau pressure (≤ 30 cm H(2)O) increased (47.4% vs 76.5%, P < .001). PEEP deviation from the ARDSNet PEEP/ [Formula: see text] table was significantly lower after the implementation. Mortality at 28 and 90 days improved after implementation (53.9% vs 41.8% and 61.8% vs 48.2%, respectively). Adjusted odds ratios for 28-d and 90-d mortality were 0.47 (95% CI 0.28–0.78) and 0.45 (95% CI 0.27–0.76), respectively. CONCLUSIONS: ARDS protocol implementation was associated with improved survival and rate of adherence.

Introduction: The impact of coexisting chronic obstructive lung disease (COPD) in patients with stroke remains unclear. This study aims to investigate the effect of COPD on survival and hospital outcomes among stroke patients. Methods: The outcomes of patients with stroke between fiscal years 2005 and 2017 from Thailand’s Universal Coverage Scheme database were compared between COPD and non-COPD patients using propensity score matching and flexible parametric survival model. Results: A total of 805,561 patients were admitted with stroke during the study period, 12,650 (1.92%) of whom had been diagnosed with COPD. Participants with COPD were significantly older, were more likely to be male, and had higher prevalences of pre-existing atrial fibrillation, ischemic heart disease, and heart failure and a higher incidence of ischemic stroke (p < 0.001). The propensity score-matched groups were well balanced in terms of all observed covariates. Participants with COPD had higher incidences of pneumonia (odds ratio [OR] 1.98, 95% confidence interval [CI]: 1.83–2.15), urinary tract infection (OR 1.27, 95% CI: 1.14–1.42), sepsis (OR 1.50, 95% CI: 1.32–1.70), cardiac arrest (OR 1.50, 95% CI: 1.19–1.88), respiratory failure (OR 1.82, 95% CI: 1.69–1.96), acute kidney injury (OR 1.29, 95% CI: 1.14–1.46), and in-hospital death (OR 1.21, 95% CI: 1.13–1.30) than those without. The impact of COPD on mortality was highest at day 93 (hazard ratio [HR] 1.73, 95% CI: 1.60–1.87) and nonsignificant at day 965 of follow-up (HR 1.08, 95% CI: 1.00–1.16). Conclusions: COPD was associated with respiratory, cardiac, renal, and infectious complications and significantly impacted survival for up to 2.6 years.

There have been no published studies examining the epidemiology of Guillain-Barre syndrome (GBS) in large populations in Thailand. This study aimed to explore the incidence, patient characteristics, seasonality, treatments, and outcomes of GBS in Thailand. The National Health Security Office (NHSO) provided data on in-patient admission between fiscal year 2005 and 2017. We selected all patients with a primary diagnosis of GBS. We retrieved data regarding the total population from the Department of Provincial Administration. A total of 4521 patients with GBS were included. The median age was 42 years (IQR 22-56), and 61.5% were male. The incidence rate increased from 0.48 to 0.93 per 100 000 population over the 13 years. The incidence was increased with age and a male-to-female ratio of 1.6:1. There was seasonal variation in the rate of admission for GBS, with significantly more patients admitted in rainy vs summer (IRR 1.94, 95%CI 1.80-2.10, P

Background: Acute kidney injury (AKI) is frequently encountered around 40% in critically ill patients and associate with a high mortality particularly in AKI patients requiring renal replacement therapy (RRT). The objective of this study was to assess the clinical predictors for 28-day mortality in AKI patients requiring RRT.Methods: This is a retrospective cohort study from prospectively collected data over a year (2014-2015). AKI patients requiring RRT were included. We collected demographic and laboratory data of AKI patients requiring RRT within 24 hours before initiation of RRT. We excluded patients with pre-existing chronic kidney disease stage 5 and AKI patients requiring peritoneal dialysis. We compared clinical characteristics and analyzed the predictors of mortality of survivors and non-survivors according to 28-day mortality.Results: We included 122 AKI patients requiring RRT. Mortality rate at day 28 and 90 after AKI diagnosis were 59% (95% confidence interval [CI] 49.7-67.8) and 72.1% (95%CI 63.3-79.9). On multivariable analysis, clinical predictors for 28-day mortality were baseline serum creatinine (hazard ratio [HR] 0.57, 95% CI 0.36-0.90), SOFA score before initiation of RRT (HR 1.08, 95%CI 1.01-1.15), presence of vasopressors before initiation of RRT (HR 3.04, 95%CI 1.12-8.25), serum lactate > 4 mmol/L before initiation of RRT effect 4 mmol/L before initiation of RRT effect ≥10 days of survival time (HR 1.31, 95%CI 0.47-3.60).Conclusion: A lower baseline serum creatinine was associated with the mortality in AKI patients requiring RRT. SOFA score, presence of vasopressors, and a higher serum lactate before initiation of RRT are useful clinical predictors for the 28-day mortality.

BACKGROUND There have been no published studies examining the epidemiology of Guillain-Barré syndrome (GBS) in large populations in Thailand. OBJECTIVE This study aimed to explore the incidence, patient characteristics, seasonality, and geographical distribution of GBS in Thailand. METHODS The National Health Security Office (NHSO) provided data on inpatient admission between 2005 and 2017. We selected all in-patients with a primary diagnosis of GBS based on the International Classification of Disease-10 (ICD-10) codes. The ICD-9 codes were used for plasmapheresis and intravenous immunoglobulin (IVIg). We retrieved data regarding the total population in Thailand from the Department of Provincial Administration. RESULTS A total of 5,688 patients with GBS were included. The median age was 42 years, and 61.6% were male. The incidence rate increased from 0.54 to 1.22 per 100,000 population over the 13 years. The incidence was higher in late rainy season and early winter, although no pattern of seasonality was observed (P = .53). Overall in-hospital mortality was 3.2% and was significantly higher in elderly patients (5.4%) than in younger adults (3.4%) and children (1.4%; P < .001). Treatment with IVIg increased from 4.72% through 25.12% over the 13-year period (P < .001). CONCLUSIONS The incidence rate of GBS gradually increased over the study period, especially in elderly patients, who also had a higher rate of mortality than patients in other age groups. There was no seasonal variation in the incidence of GBS in Thailand. Treatment with IVIg drastically increased over time and was more common than treatment with PE.

BACKGROUND: Obese subjects are at higher risk of development and progression of ARDS. There are limited data regarding mechanical ventilation practices and use of adjunctive therapies in subjects with ARDS across different obesity classes. We hypothesized that the adherence to lung-protective ventilation would be worse with rising body mass index class in patients with ARDS. METHODS: We conducted a retrospective observational study of subjects with ARDS. We evaluated the differences in ventilator settings, airway pressures, gas exchange, use of rescue therapies, length of hospital stay, and mortality among subjects based on the obesity classes of the WHO. RESULTS: The study included 613 subjects with ARDS: 21.4% were normal weight, 25% were overweight, and 53.7% were obese; 33.3% of the obese subjects met criteria for class I–II obesity, while 20.4% were class III obese (morbid obesity). On day 1, 53% of subjects with class III obesity had tidal volumes > 8 mL/kg, compared to 26% of the subjects with normal weight. In addition, 48% of the morbidly obese subjects received at least one rescue therapy as compared to 37% of normal weight subjects and 36% of overweight subjects. There were significant differences in the use of rescue therapies among the groups. In a multivariable model, subjects with class III obesity were significantly more likely to receive tidal volume > 8 mL/kg predicted body weight on day 1 when compared with subjects with normal weight (odds ratio 3.14, 95% CI 1.78–5.57). There was no difference in length of stay in ICU or hospital, duration of mechanical ventilation, or adjusted ICU or hospital mortality among the 4 groups. CONCLUSIONS: In this study, the risk of exposure to higher tidal volumes and the need for specific rescue therapies rose with higher classes of obesity in subjects with ARDS. More research is needed to identify how to better implement lung-protective ventilation in patients with obesity.

Highlights • Discriminating imaging features between bacterial and tuberculous pyomyositis. • T2 high signal intensity at abscess wall can predict for bacterial pyomyositis. • Abscess wall character on imaging of bacterial muscle infection. • Magnetic resonance imaging between bacterial and tuberculous muscle infection., Purpose The purpose of this study was to assess the differences of magnetic resonance features between tuberculous and bacterial pyomyositis. Method This is a retrospective study of patients with bacterial and tuberculous pyomyositis. We excluded patients with pyomyositis caused by actinomycosis, non-tuberculous mycobacterium, fungi, unknown of causative organism, or inadequate imaging for analysis. Magnetic resonance imaging was independently reviewed by two radiologists. Results Of the 136 pyomyositis patients, 71 (52.2 %) patients had bacterial pyomyositis while 65 (47.8 %) patients had tuberculous pyomyositis. Seventy-seven patients (56.6 %) had intramuscular abscess. On multivariable analysis, bacterial pyomyositis was associated with diabetes mellitus (odds ratio [OR] 3.17, 95 % confidence interval [CI] 1.30–8.24) and bone marrow involvement (OR 5.02, 95 % CI 1.21–34.4). Spinal involvement had a significantly lower likelihood of bacterial pyomyositis (OR 0.25, 95 %CI 0.11–0.54). In patients with intramuscular abscess, diabetes mellitus and hyperintense on T2-weighted images at the abscess wall had a significantly higher likelihood of bacterial pyomyositis (OR 5.21, 95 %CI 1.33–25.42 and OR 5.34, 95 %CI 1.36–24.71, respectively), whereas spinal involvement had a significantly lower likelihood of bacterial pyomyositis (OR 0.09, 95 %CI 0.02–0.30). Conclusions Magnetic resonance imaging has modest accuracy for differentiation of tuberculous and bacterial pyomyositis. Diabetes mellitus and extraspinal pyomyositis were the predictors of bacterial pyomyositis. Presence of T2 hyperintense wall of intramuscular abscess was also the predictor of bacterial pyomyositis.

Panita Limpawattana,1 Wannaporn Aungsakul,2 Chomchanok Suraditnan,2 Anupol Panitchote,3 Boonsong Patjanasoontorn,3 Anakapong Phunmanee,3 Nittaya Pittayawattanachai4 1Division of Geriatric Medicine, Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; 2Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; 3Division of Critical Care, Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; 4CPR Unit, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand Background: There are limited data available regarding long-term survival and its predictors in cases of in-hospital cardiac arrest (IHCA) in which patients receive cardiopulmonary resuscitation.Purpose: The objectives of this study were to determine the 1-year survival rates and predictors of survival after IHCA.Patients and methods: Data were retrospectively collected on all adult patients who were administered cardiopulmonary resuscitation from January 1, 2013 to December 31, 2014 in Srinagarind Hospital (Thailand). Clinical outcomes of interest and survival at discharge and 1 year after hospitalization were reviewed. Descriptive statistics and survival analysis were used to analyze the outcomes.Results: Of the 202 patients that were included, 48 (23.76%) were still alive at hospital discharge and 17 (about 8%) were still alive at 1 year post cardiac arrests. The 1-year survival rate for the cardiac arrest survivors post hospital discharge was 72.9%. Prearrest serum HCO3

Background Acute kidney injury (AKI) is the most frequent extra-pulmonary organ failure in acute respiratory distress syndrome (ARDS). The objective of this study was to assess the factors associated with the development and severity of AKI in patients with ARDS. Methods This is a retrospective cohort study of ARDS patients without acute or chronic kidney disease prior to the onset of ARDS over a 7-year period (2010–2017). AKI and severity of AKI were defined according to the Kidney Disease Improving Global Outcomes 2012 guidelines. Results Of the 634 ARDS patients, 357 patients met study criteria. A total of 244 (68.3%) patients developed AKI after ARDS onset: 60 (24.6%) had stage I AKI, 66 (27%) had stage II AKI, and 118 (48.4%) had stage III AKI. The median time of AKI onset for stage I AKI was 2 days (interquartile range, 1.5–5.5) while stage II and III AKI was 4 days. On multivariable analysis, factors associated with development of AKI were age [subdistribution hazard ratio (SHR) 1.01, 95% confidence interval (CI) 1.00–1.02], SOFA score (SHR 1.16, 95%CI 1.12–1.21), a history of diabetes mellitus (DM) (SHR 1.42, 95%CI 1.07–1.89), and arterial pH on day 1 of ARDS (SHR per 0.1 units decrease was 1.18, 95%CI 1.05–1.32). In severity of AKI, stage I AKI was associated with age (SHR 1.03, 95%CI 1.01–1.05) and serum bicarbonate on day 1 of ARDS (SHR 1.07, 95%CI 1.02–1.13). Stage II AKI was associated with age (SHR 1.03, 95%CI 1.01–1.05), serum bicarbonate on day 1 (SHR 1.12, 95%CI 1.06–1.18), SOFA score (SHR 1.19, 95%CI 1.10–1.30), history of heart failure (SHR 3.71, 95%CI 1.63–8.46), and peak airway pressure (SHR 1.04, 95%CI 1.00–1.07). Stage III AKI was associated with a higher BMI (SHR 1.02, 95%CI 1.00–1.03), a history of DM (SHR 1.79, 95%CI 1.18–2.72), SOFA score (SHR 1.29, 95%CI 1.22–1.36), and arterial pH on day 1 (SHR per 0.1 units decrease was 1.25, 95%CI 1.05–1.49). Conclusions Age, a higher severity of illness, a history of diabetes, and acidosis were associated with development of AKI in ARDS patients. Severity of AKI was further associated with BMI, history of heart failure, and peak airway pressure. Electronic supplementary material The online version of this article (10.1186/s13613-019-0552-5) contains supplementary material, which is available to authorized users.

Table S1. Percentage of missing data of potential full model variables. Table S2. Baseline characteristics of survivors by renal recovery. Table S3. Ventilator settings, arterial blood gases averaged on day 1â 3 and other therapies in survivors. Table S4. Patterns of acute kidney injury reversal in survivors with acute respiratory distress syndrome. Table S5. Factors associated with renal non-recovery in all patients (non-imputed data. Table S6. Factors associated with renal non-recovery in survival patients (non-imputed data. Figure S1. The bar graphs show pattern of renal recovery by staging of acute kidney injury in 128 survivors. (DOC 170 kb)

Additional file 1. Supplementary tables and figures.

Purpose Cholangiocarcinoma (CCA) is the second most common primary malignant hepatic tumor originating from bile duct epithelia. Bone metastasis is uncommon and less documented. The aim of this study was to characterize the imaging features of bone metastasis from CCA. Methods A retrospective descriptive imaging characteristics in 199 patients (1465 lesions) diagnosed as CCA with bone metastasis were evaluated based on plain radiography, computed tomography (CT), magnetic resonance imaging (MRI) and Tc-99 m methylene diphosphonate bone scan. Results The common vertebral metastatic sites were lumbar spines (94 [47.2 %], 95 %CI 40.1–54.4), upper thoracic spines (89 patients [44.7 %], 95 % CI 37.7–51.9), and lower thoracic spines (80 [40.2 %], 95 % CI 33.3–47.4). On plain radiograph, most of lesions had osteolytic pattern (68 %) with pedicular destruction (45.3 %) whereas on CT had mixed osteolytic and osteosclerotic destruction (40.8 %). The common non-vertebral metastatic sites were ribs and pelvis (80 patients [40.2 %], 95 % CI 33.3–47.4 and 60 [30.2 %], 95 % CI 23.9–37). On plain radiograph, in the long bones, usually had permeative destruction (58.9 %), whereas on CT showed mixed osteolytic and osteosclerotic (34.6 %). On bone scan, increased-uptake was the common pattern, found in the vertebral and non-vertebral sites (93.6 % and 92.4 %). Conclusions Bone metastasis from CCA usually occurred in the axial skeleton. The common patterns of destruction were osteolytic or mixed osteolytic and osteosclerotic. Periosteal reaction was scant in the appendicular long bones. On bone scan commonly had increased-uptake.

Delirium is a common condition in older adults which can have devastating outcomes. The studies about delirium in intensive care units (ICU) are relatively rare compared to studies in the non-ICU setting. This study aimed to study the prevalence, incidence, and risk factors of delirium among older Thai adults in ICU.Participants were older patients who were admitted to the ICU of Srinagarind Medical School, KhonKaen, Thailand from May 2013 to August 2014. Baseline characteristics were collected. Delirium was rated by trained clinical researchers using the Confusion Assessment Method for the ICU (CAM-ICU). Demographic data were analyzed using descriptive statistics. Regression analyses were used to analyze the outcomes.Delirium occurred in 44 of 99 patients (44.4%) with an incidence rate of 22.2% (22/99). The prevalence of delirium in mechanically ventilated patients was 62.5% (30/48). The majority of the patients had delirium within five days of ICU admission. Seven independent predisposing factors were identified using bivariate regressions: age, functional status, disease severity, having pneumonia, cognitive impairment, depression, or previous stroke. Numbers of additional drugs, bed changes, physical restraints, sleep deprivation, use of bladder catheters, and patients with mechanical ventilators were independent precipitating factors. For multivariate regressions, previous stroke, multiple bed changes, and physical restraints were the significant factors.The prevalence and incidence of delirium of older adults in the ICU setting in this study was high and comparable to prior studies. There are several significant risk factors associated with delirium which could be modified. These factors should be considered when designing effective preventive strategies of delirium.

Nurses have the key roles to detect delirium in hospitalized older patients but under-recognition of delirium among nurses is prevalent. The objectives of this study were to identify the under-recognition rate of delirium by intensive care nurses (ICU) using Confusion Assessment Method for the ICU (CAM–ICU) and factors associated with under-recognition. Participants were older patients aged ≥65 years who were admitted to the ICU of Srinagarind Medical School, Khon Kaen, Thailand from May 2013 to August 2014. Baseline characteristics were collected. Delirium was rated by a trained clinical researcher using the CAM–ICU. Demographic data were analyzed using descriptive statistics. Univariate and multiple logistic regressions were used to analyze the outcomes. Delirium occurred in 44 of 99 patients (44.4 %). Nurses could not identify delirium in 29.6 % of patients compared with researchers. Pre-existing dementia and depression were found in 47.7 % of patients. Pneumonia or other causes of respiratory failure were the most common causes of admission to ICU (47.7 %). Independent factors associated with under-recognition by nurses were identified—heart failure [adjusted odds ratio (OR), 77.8; 95 % confidence interval (CI) 2.5–2,543, p = 0.01] and pre-existing taking treatment with benzodiazepines (adjusted OR, 22.6; 95 % CI 1.8–85, p = 0.01). Under-recognition of delirium is a frequent issue. New independent factors associated with under-recognition were identified. Awareness of delirium in the patients with these factors is recommended. This study supports the finding of high under-recognition rates of delirium among hospitalized older adults in ICU. Patients with heart failure and receiving benzodiazepines were identified as barriers of recognition of delirium.

Energy expenditure in severe sepsis/septic shock patients was measured by indirect calorimetry and the correlation of energy expenditure between indirect calorimetry and predictive equations was determined.This was a prospective, observational analytical study. Severe sepsis or septic shock patients were measured for energy expenditure over 72 hours by indirect calorimetry that was measured by a mechanical ventilator (EngströmCarestation, GE Healthcare). Predictive equations for energy expenditure by the Harris-Benedict equation (HBE), Ireton-Jones 1992 equation (IRE) and ACCP equation (ACCP) were calculated and then correlations and agreement between indirect calorimetry and predictive equations were tested.The 16 patients had a mean age of 71.6±5.5 years and a mean APACHE II score of 26.9±4.0. The average energy expenditure by indirect calorimetry over 72 hours per kilogram body weight was 26.7±5.3 kcal/kg/day. For predictive equations, IRE was moderately significantly correlated with indirect calorimetry over 72 hours (intraclass correlation 0.46, 95% CI -0.01 to 0.77, p=0.028), but the HBE and ACCP equations were not significantly correlated (intraclass correlation for HBE -0.52, 95% CI -0.8 to -0.06, p=0.985 and intraclass correlation for ACCP 0.29, 95% CI -0.21 to 0.68, p=0.121).Energy expenditure over 72 hours in severe sepsis or septic shock was about 26.7±5.3 kcal/kg/day. The use of predictive equations should be further examined in future studies.

Acute kidney injury (AKI) is the most frequent extra-pulmonary organ failure in acute respiratory distress syndrome (ARDS). The objective of this study was to assess the factors associated with the development and severity of AKI in patients with ARDS.This is a retrospective cohort study of ARDS patients without acute or chronic kidney disease prior to the onset of ARDS over a 7-year period (2010-2017). AKI and severity of AKI were defined according to the Kidney Disease Improving Global Outcomes 2012 guidelines.Of the 634 ARDS patients, 357 patients met study criteria. A total of 244 (68.3%) patients developed AKI after ARDS onset: 60 (24.6%) had stage I AKI, 66 (27%) had stage II AKI, and 118 (48.4%) had stage III AKI. The median time of AKI onset for stage I AKI was 2 days (interquartile range, 1.5-5.5) while stage II and III AKI was 4 days. On multivariable analysis, factors associated with development of AKI were age [subdistribution hazard ratio (SHR) 1.01, 95% confidence interval (CI) 1.00-1.02], SOFA score (SHR 1.16, 95%CI 1.12-1.21), a history of diabetes mellitus (DM) (SHR 1.42, 95%CI 1.07-1.89), and arterial pH on day 1 of ARDS (SHR per 0.1 units decrease was 1.18, 95%CI 1.05-1.32). In severity of AKI, stage I AKI was associated with age (SHR 1.03, 95%CI 1.01-1.05) and serum bicarbonate on day 1 of ARDS (SHR 1.07, 95%CI 1.02-1.13). Stage II AKI was associated with age (SHR 1.03, 95%CI 1.01-1.05), serum bicarbonate on day 1 (SHR 1.12, 95%CI 1.06-1.18), SOFA score (SHR 1.19, 95%CI 1.10-1.30), history of heart failure (SHR 3.71, 95%CI 1.63-8.46), and peak airway pressure (SHR 1.04, 95%CI 1.00-1.07). Stage III AKI was associated with a higher BMI (SHR 1.02, 95%CI 1.00-1.03), a history of DM (SHR 1.79, 95%CI 1.18-2.72), SOFA score (SHR 1.29, 95%CI 1.22-1.36), and arterial pH on day 1 (SHR per 0.1 units decrease was 1.25, 95%CI 1.05-1.49).Age, a higher severity of illness, a history of diabetes, and acidosis were associated with development of AKI in ARDS patients. Severity of AKI was further associated with BMI, history of heart failure, and peak airway pressure.