Interaction Effects of Acute Kidney Injury, Acute Respiratory Failure, and Sepsis on 30-Day Postoperative Mortality in Patients Undergoing High-Risk Intraabdominal General Surgical Procedures

2015 ◽  
Vol 121 (6) ◽  
pp. 1536-1546 ◽  
Author(s):  
Minjae Kim ◽  
Joanne E. Brady ◽  
Guohua Li
2012 ◽  
Vol 93 (6) ◽  
pp. 864-870
Author(s):  
I M Borisov ◽  
T G Shapovalova

Aim. To develop diagnostic algorithm to predict the risk of community-acquired pneumonia development. Methods. 2000 patients with community-acquired pneumonia (male conscripts aged 18 to 22 years, mean age 19.2±0.19). A comparative analysis of two groups of patients to assess the algorithm for toxic shock syndrome, acute respiratory failure and acute kidney injury prediction was performed. In the comparison group (n=782, 1998 to 2003), prediction of complications was based on doctors’ personal knowledge and experience without using the prediction algorithms. In the main group (n=1218, 2003 to 2008), the established prediction algorithm was used. Results. The introduction of community-acquired pneumonia complications prediction algorithm allowed to decrease the incidence of such complications significantly. Toxic shock syndrome was diagnosed in 8.8% of patients in the comparison group and in 3.7% of patients of the main group (р 0.05), acute respiratory failure - in 43.1% of patients of the comparison group and in 19.5% of patients of the main group (р 0.05). The effectiveness of the algorithm for toxic shock syndrome prognosis was 90.8%, sensitivity - 91.8%, specificity - 89.7%, accuracy - 94.5%. The effectiveness of the algorithm for acute kidney injury prognosis was 90.7%, sensitivity - 90.7%, specificity - 90.8%, accuracy - 95.1%. Conclusion. Offered prediction algorithms can help a physician to suspect a possibility of potentially dangerous and lethal complications development in patients with community-acquired pneumonia at the early stages of the disease. It allows to adjust the treatment, to simplify the estimate for transportation need, to detect the indications for patients admission, including the admission to intensive care unit, and improve the results of treatment.


Author(s):  
Abderrahim Oussalah ◽  
Stanislas Gleye ◽  
Isabelle Clerc Urmes ◽  
Elodie Laugel ◽  
Jonas Callet ◽  
...  

Abstract Background In patients with severe coronavirus disease 2019 (COVID-19), data are scarce and conflicting regarding whether chronic use of angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB) influences disease outcomes. In patients with severe COVID-19, we assessed the association between chronic ACEI/ARB use and the occurrence of kidney, lung, heart, and liver dysfunctions and the severity of the inflammatory reaction as evaluated by biomarkers kinetics, and their association with disease outcomes. Methods We performed a retrospective longitudinal cohort study on consecutive patients with newly diagnosed severe COVID-19. Independent predictors were assessed through receiver operating characteristic analysis, time-series analysis, logistic regression analysis, and multilevel modeling for repeated measures. Results On the 149 patients included in the study 30% (44/149) were treated with ACEI/ARB. ACEI/ARB use was independently associated with the following biochemical variations: phosphorus >40 mg/L (odds ratio [OR], 3.35, 95% confidence interval [CI], 1.83–6.14), creatinine >10.1 mg/L (OR, 3.22, 2.28–4.54), and urea nitrogen (UN) >0.52 g/L (OR, 2.65, 95% CI, 1.89–3.73). ACEI/ARB use was independently associated with acute kidney injury stage ≥1 (OR, 3.28, 95% CI, 2.17–4.94). The daily dose of ACEI/ARB was independently associated with altered kidney markers with an increased risk of +25 to +31% per each 10 mg increment of lisinopril-dose equivalent. In multivariable multilevel modeling, UN >0.52 g/L was independently associated with the risk of acute respiratory failure (OR, 3.54, 95% CI, 1.05–11.96). Conclusions Patients chronically treated with ACEI/ARB who have severe COVID-19 are at increased risk of acute kidney injury. In these patients, the increase in UN associated with ACEI/ARB use could predict the development of acute respiratory failure.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ye-Qing Xiao ◽  
Wei Cheng ◽  
Xi Wu ◽  
Ping Yan ◽  
Li-Xin Feng ◽  
...  

Abstract Acute kidney disease (AKD) is a state between acute kidney injury (AKI) and chronic kidney disease (CKD), but the prognosis of AKD is unclear and there are no risk-prediction tools to identify high-risk patients. 2,556 AKI patients were selected from 277,898 inpatients of three affiliated hospitals of Central South University from January 2015 to December 2015. The primary point was whether AKI patients developed AKD. The endpoint was death or end stage renal disease (ESRD) 90 days after AKI diagnosis. Multivariable Cox regression was used for 90-day mortality and two prediction models were established by using multivariable logistic regression. Our study found that the incidence of AKD was 53.17% (1,359/2,556), while the mortality rate and incidence of ESRD in AKD cohort was 19.13% (260/1,359) and 3.02% (41/1,359), respectively. Furthermore, adjusted hazard ratio of mortality for AKD versus no AKD was 1.980 (95% CI 1.427–2.747). In scoring model 1, age, gender, hepatorenal syndromes, organic kidney diseases, oliguria or anuria, respiratory failure, blood urea nitrogen (BUN) and acute kidney injury stage were independently associated with AKI progression into AKD. In addition, oliguria or anuria, respiratory failure, shock, central nervous system failure, malignancy, RDW-CV ≥ 13.7% were independent risk factors for death or ESRD in AKD patients in scoring model 2 (goodness-of fit, P1 = 0.930, P2 = 0.105; AUROC1 = 0.879 (95% CI 0.862–0.896), AUROC2 = 0.845 (95% CI 0.813–0.877), respectively). Thus, our study demonstrated AKD was independently associated with increased 90-day mortality in hospitalized AKI patients. A new prediction model system was able to predict AKD following AKI and 90-day prognosis of AKD patients to identify high-risk patients.


2018 ◽  
Vol 57 (11) ◽  
pp. 1340-1348 ◽  
Author(s):  
Sindy M. Villacrés ◽  
Shivanand S. Medar ◽  
Scott I. Aydin

Background. Acute kidney injury (AKI) is common in critically ill children and develops in association with organ system dysfunction, with acute respiratory failure (ARF) one of the most common. We aim to study AKI in the pediatric ARF population. Methods. Data were retrospectively collected on children aged 1 day to 18 years admitted to the pediatric intensive care unit (PICU) with ARF between 2010 and 2013. Descriptive statistics and multivariate analyses utilizing Mann-Whitney U, Wilcoxon signed rank, χ2, or Fisher’s exact tests were performed to identify risk factors associated with AKI. Results. A total of 186 patients, with median age of 36 months (interquartile range 4-120 months) met the inclusion criteria. ARF was related to pulmonary disease in 49%. AKI was noted in 53% of patients. Patients with AKI had significantly higher serum creatinine ( P < .001) and lower estimated creatinine clearance ( P < .001) compared with those without AKI. Among patients with moderate and severe acute respiratory distress syndrome (ARDS), 64% had AKI versus 46% with mild or no ARDS ( P = .02). Patients with AKI had significantly lower PaO2/FiO2 ratio ( P = .03), longer PICU ( P = .03), and longer hospital length of stay ( P = .01). ARDS patients were less likely to be AKI free on day 7 of hospitalization, as compared with those without ARDS. Multivariate analysis revealed positive end expiratory pressure (odds ratio [OR] = 1.2, confidence interval [CI] = 1.0-1.4; P = .03) and admission serum creatinine (OR = 27.9, CI = 5.2-148.5; P < .001) to be independently associated with AKI. Conclusions. AKI is common in children with ARF. In patients with ARF and AKI, AKI is associated with ARDS and longer PICU and hospital length of stay. Positive end expiratory pressure and serum creatinine are independently associated with AKI.


2019 ◽  
Vol 12 (5) ◽  
pp. e229582
Author(s):  
Joselito R Chavez ◽  
Romina A Danguilan ◽  
Melhatra I Arakama ◽  
Joann Kathleen Ginete Garcia ◽  
Rizza So ◽  
...  

A 47-year-old man with a recent history of wading in floodwaters presented with a 1-week history of cough, myalgia, conjunctival suffusion and decreasing urine output. The patient had uraemia, hypotension, leukocytosis, thrombocytopenia, elevated liver enzymes and oliguria. His condition quickly worsened with haemoptysis, and respiratory distress which subsequently required intubation and mechanical ventilation. Continuous renal replacement therapy was started together with haemoperfusion (HP). The patient initially required norepinephrine and this was discontinued after the first session of HP. He was referred for veno-venous extracorporeal membrane oxygenation (ECMO) due to severe hypoxia and pulmonary haemorrhage. Oxygenation and lung compliance improved, and serum creatinine levels continued to normalise with improved urine output. He was placed off ECMO, extubated and eventually discharged. Patient was diagnosed with severe leptospirosis, acute respiratory failure and acute kidney injury successfully treated with simultaneous ECMO and HP. Blood samples were positive for Leptospira spp. DNA via PCR assay.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1783-1783
Author(s):  
Larysa Sanchez ◽  
Michael Sylvester ◽  
Yucai Wang ◽  
Shijia Zhang ◽  
Jean Eloy ◽  
...  

Abstract Background: Autologous hematopoietic stem cell transplantation (Auto HSCT) has improved survival in patients (pts) with multiple myeloma (MM). Based upon clinical trials, auto HSCT is preferred for patients under the age of 65, as older pts are thought to be at higher risk for transplant complications and mortality. The aim of this population based study was to evaluate in-hospital complications and mortality after autologous peripheral blood stem cell transplantation (auto PBSCT) in younger (< age 65) vs. older (> or equal to age 65) MM pts utilizing the Nationwide Inpatient Sample (NIS). Methods: Data for the study were drawn from the NIS, a component of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. The NIS database was used to identify all MM pts admitted to US Hospitals for auto PBSCT over a three-year period (2008-2010). Patient characteristics were extracted from the NIS and adverse outcomes were identified by ICD-9-CM codes. We analyzed the relationship of age to in-hospital mortality, length of stay (LOS), total hospital costs, and adverse outcomes. We then performed multivariate logistic regression to determine predictors of in-hospital mortality. Data was analyzed with SPSS v 22. Results: We identified 2209 pts. The median (M) age was 59 yrs, with 1650 pts (74.7%) < age 65 and 559 pts (25.3%) ≥ to age 65. Pt demographics included: 1262 pts (57.1%) male, 1246 (56.4%) Caucasian, 280 (12.7%) African-American, 157 (7.1%) Hispanic, 37 (1.7%) Asian Pacific Islander, and 489 (22%) unknown race. Overall in-hospital mortality following auto PBSCT was 1.5% and 2.3% in older pts vs. 1.2% in younger pts (p=0.061). Mean LOS was 18.6 ± 10.8 days (standard deviation) in older pts vs. 16.8 ± 7.2 days in younger pts (p < 0.001). Mean total hospital charges were $161,117 ± $105,008 in older pts vs. $151,192 ± $78,342 in younger pts (p < 0.001). There was no significant difference in hematologic toxicities such as neutropenia between older and younger pts. In-hospital complications that were more likely to occur in older vs. younger pts were severe sepsis (23 (4.1%) vs. 22 (1.3%), p <0.001), septic shock (18 (3.2%) vs. 15 (0.9%), p <0.001), acute kidney injury (44 (7.9%) vs. 61 (3.7%), p <0.001), pneumonia (36 (6.4%) vs. 67 (4.1%), p = 0.021), acute respiratory failure (22 (3.9%) vs. 18 (1.1%), p <0.001), and endotracheal intubation requiring prolonged mechanical ventilation (18 (3.2%) vs. 21 (1.3%), p = 0.003). Interestingly, stomatitis/mucositis occurred less often in older pts (183 (32.7%) vs. 659 (39.9%), p = 0.002). In univariate analysis for risk factors for in-hospital mortality, neutropenia (OR 0.369, 95% CI: 0.15 - 0.89, p = 0.028), febrile neutropenia (OR 0.24, 95% CI: 0.06 - 0.99, p=0.05), sepsis (OR 19.57, 95% CI: 9.64 - 39.75, p <0.001), Clostridium difficile infection (OR 4.91, 95% CI: 2.09 - 11.56, p < 0.001), acute kidney injury (OR 8.12, 95% CI: 3.67 - 17.95, p < 0.001), pneumonia (OR 11.32, 95% CI: 5.33 - 24.05, p <0.001), and acute respiratory failure (OR 71.67, 95% CI: 32.51 - 157.99, p < 0.001) were predictors of in-hospital mortality. In a multivariate analysis accounting for age and gender, sepsis (OR 0.12, 95% CI: 0.05 - 0.29, p < 0.001), Clostridium difficile infection (OR 0.32, 95% CI: 0.11 - 0.92, p = 0.03), acute kidney injury (OR 0.31, 95% CI: 0.11 - 0.90, p = 0.03), and acute respiratory failure (OR 0.03, 95% CI: 0.01 - 0.09, p < 0.001) remained independent predictors of in-hospital mortality. Conclusions: Overall, in-hospital mortality in MM pts following auto PBSCT was rare (1.5%) and there was no significant difference in mortality between older vs. younger pts. This is consistent with other recent findings that chronological age does not increase mortality in recipients of ASCT, which is possibly the result of advances in auto PBSCT, such as less toxic conditioning regimens and improvements in supportive care. Older pts did have significantly increased LOS and total hospital charges compared to younger pts, and were at increased risk for severe sepsis/septic shock and respiratory complications including pneumonia and acute respiratory failure. Such in-hospital complications in older MM pts undergoing auto PBSCT should be of particular attention to physicians caring for this pt population. Further research is needed in other populations and datasets to confirm these findings. Disclosures Chang: Johnson & Johnson: Other: Stock.


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