629 Acute Kidney Injury, Burn Resuscitation, and a Novel, Visualization Approach to Resuscitation Review

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S170-S171
Author(s):  
Charles J Luttrell

Abstract Introduction A review of patients who sustained 20% or greater TBSA burns (n = 33) found 58% of the sample to have a stage 1 (n = 5), 2 (n = 4), or 3 (n = 10) acute kidney injury (AKI). Of those who sustained an AKI, 63% did not survive their injuries. An inquiry into the current, resuscitation protocols used at this facility was subsequently conducted. Protocol dictated the Parkland Formula/method as the standard of care for resuscitation needs of the sample. While information for net-totals of inputs and outputs (I&O) and hourly I&O values was easily obtainable, presenting these numbers in table-form was both cumbersome to create and difficult to quickly convey to both clinical and non-clinical staff. Thus, a visual approach was chosen to better understand how each patient was resuscitated in the first 24-hours of burn injury. Methods The software package R (R Core Team, 2020) was used to clean/analyze data, as well as create a graphical illustration of the data via an interactive dashboard using these variables: urine output (UOP); nurse charting of I&Os; fluid orders by provider; pre-hospital fluids; lab values; and vital signs. Using this software an interactive dashboard was created to allow users to interact with the graphs and visualize not only the numerical values associated with resuscitation, but to also see how each of these numbers relate to one another in an hourly timeline (e.g., reducing fluids by half is followed by a decrease in UOP). Results A trend of over-resuscitation in the first 24-hours of burn injury, as compared to the calculated requirements based on the Parkland Formula was observed. Also, irregularities of hourly administration of fluids (e.g., frequent/over blousing) and inadequate hourly charting were observed. Conclusions While this method for assessing resuscitation is a new approach at this facility, the ability to visually recount the resuscitation efforts of each patient has opened the conversation about best practices. Also, more disciplines can participate in the resuscitation efforts due to the ease with which the presented information can be disseminated and explained to both seasoned and novice staff. This has allowed for more stakeholders to participate in the burn program. Finally, further uses and applications of interactive dashboards are being explored for other aspects of burn care management.

Author(s):  
Ravindra Attur Prabhu ◽  
Tushar Shaw ◽  
Indu Ramachandra Rao ◽  
Vandana Kalwaje Eshwara ◽  
Shankar Prasad Nagaraju ◽  
...  

Abstract Background Melioidosis is a potentially fatal tropical infection caused by Burkholderia pseudomallei. Kidney involvement is possible, but has not been well described. Aim This study aimed to assess the risk of acute kidney injury (AKI) and its outcomes in melioidosis. Methods A retrospective observational cohort study was performed. Case records of consecutive patients with culture-confirmed melioidosis, observed from January 1st, 2012 through December 31st, 2019 were analysed for demographics, presence of comorbidities, including chronic kidney disease (CKD), diabetes mellitus (DM), and presence of bacteraemia, sepsis, shock, AKI, and urinary abnormalities. The outcomes we studied were: mortality, need for hospitalisation in an intensive care unit (ICU), duration of hospitalization. We then compared the outcomes between patients with and without AKI. Results Of 164 patients, AKI was observed in 59 (35.98%), and haemodialysis was required in eight (13.56%). In the univariate analysis, AKI was associated with CKD (OR 5.83; CI 1.140–29.90, P = 0.03), bacteraemia (OR 8.82; CI 3.67–21.22, P < 0.001) and shock (OR 3.75; CI 1.63–8.65, P = 0.04). In the multivariate analysis, CKD (adjusted OR 10.68; 95% CI 1.66–68.77; P = 0.013) and bacteraemia (adjusted OR 8.22; 95% CI 3.15–21.47, P < 0.001) predicted AKI. AKI was associated with a greater need for ICU care (37.3% vs. 13.3%, P = 0.001), and mortality (32.2% vs. 5.7%, P < 0.001). Mortality increased with increasing AKI stage, i.e. stage 1 (OR 3.52, CI 0.9–13.7, P = 0.07), stage 2 (OR 6.79, CI 1.92–24, P = 0.002) and stage 3 (OR 17.8, CI 5.05–62.8, P < 0.001), however kidney function recovered in survivors. Hyponatremia was observed in 138 patients (84.15%) and isolated urinary abnormalities were seen in 31(18.9%). Conclusions AKI is frequent in melioidosis and occurred in 35.9% of our cases. Hyponatremia is likewise common. AKI was predicted by bacteraemia and CKD, and was associated with higher mortality and need for ICU care; however kidney function recovery was observed in survivors. Graphic abstract


2016 ◽  
Vol 17 (7) ◽  
pp. 615-623 ◽  
Author(s):  
Joshua H. Wong ◽  
David T. Selewski ◽  
Sunkyung Yu ◽  
Kay E. Leopold ◽  
Katelyn H. Roberts ◽  
...  

Author(s):  
Pierluigi Marzuillo ◽  
Maria Baldascino ◽  
Stefano Guarino ◽  
Silverio Perrotta ◽  
Emanuele Miraglia del Giudice ◽  
...  

Abstract Background We aimed to evaluate prevalence of acute kidney injury (AKI) and its risk factors in children hospitalized for acute gastroenteritis (AGE) to identify early predictors of AKI. Methods We retrospectively collected clinical and biochemical data of 114 children (57.9% male; mean age 2.9 ± 2.8 years) hospitalized for AGE. AKI was defined according to Kidney Disease/Improving Global Outcomes creatinine criteria. We considered basal serum creatinine as value of creatinine estimated with Hoste (age) equation assuming basal eGFRs were median age-based eGFR normative values for children ≤ 2 years of age, and eGFR 120 mL/min/1.73m2 for children > 2 years. Univariate and multivariate logistic regression models were used to explore associations with AKI. We included in multivariate analyses only variables with significant p after Bonferroni correction. Results AKI was found in 28/114 (24.6%) patients. No patients required hemodialysis, 2 (1.8%) reached AKI stage 3, 2 (1.8%) AKI stage 2, and 24 (21.0%) AKI stage 1. Mean length of stay was 3.6 ± 1.2, 5.0 ± 1.8, and 10.5 ± 5.8 days, for patients with no, mild, and severe AKI (p < 0.001), respectively. Duration of symptoms before hospitalization (OR = 2.5; 95% CI = 1.3–5.0; p = 0.006), dehydration > 5% (OR = 43.1; 95% CI = 5.4–344.1; p = < 0.001), and serum bicarbonate levels (OR = 1.6; 95% CI = 1.2–2.1; p = 0.001) were independent predictors of AKI. Conclusions About one quarter of patients hospitalized for AGE may suffer from AKI with a longer stay for patients with more severe AKI. Particular attention, however, should be paid to volemia and kidney health of patients with AGE especially in the presence of increased duration of symptoms before hospitalization, dehydration, and lower serum bicarbonate levels. Graphical abstract


Author(s):  
Michelle Ramírez ◽  
Sujata Chakravarti ◽  
Jaclyn McKinstry ◽  
Yasir Al-qaqaa ◽  
Raj Sahulee ◽  
...  

Abstract Objectives: This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding protein-7 (IGFBP-7) in identifying acute kidney injury (AKI) in neonates after congenital heart surgery (CHS). TIMP-2 and IGFBP-7 are cell cycle arrest proteins detected in urine during periods of kidney stress/injury. Methods: We conducted a single-center, prospective study between September 2017 and May 2019 with neonates undergoing CHS requiring cardiopulmonary bypass (CPB). Urine samples were analyzed using NephroCheck prior to surgery and 6, 12, 24, and 96 hours post-CPB. All patients were evaluated using the Acute Kidney Injury Network (AKIN) criteria. Wilcoxon rank sum tests were used to compare the medians of the [TIMP-2*IGFBP-7] values in the AKIN negative and positive groups at each time point. Receiver operating characteristic curves were used to measure how well the [TIMP-2*IGFBP-7] values predict AKIN status. Results: Thirty-six patients were included. No patients met the AKIN criteria for AKI preoperatively. Postoperatively, 19 patients (53%) met the AKIN criteria for AKI diagnosis: 13 (36%) stage 1, 5 (14%) stage 2, and 1 (3%) stage 3. None required renal replacement therapy. At the 24-hour time points, patients who met the AKIN criteria for AKI had a statistically significantly higher [TIMP-2*IGFBP7] values than the patients without AKI (1.1 vs. 0.27 [ng/mL]2/1,000) at 24 hours (adj-p = 0.0019). Conclusion: AKI is a serious complication associated with adverse outcomes in patients undergoing cardiac surgery. [TIMP-2*IGFBP-7] urinary level 24 hours after CPB is a good predictor of AKI in this population.


2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Andrea L. Conroy ◽  
Michael Hawkes ◽  
Robyn E. Elphinstone ◽  
Catherine Morgan ◽  
Laura Hermann ◽  
...  

Abstract Background.  Acute kidney injury (AKI) is a well recognized complication of severe malaria in adults, but the incidence and clinical importance of AKI in pediatric severe malaria (SM) is not well documented. Methods.  One hundred eighty children aged 1 to 10 years with SM were enrolled between 2011 and 2013 in Uganda. Kidney function was monitored daily for 4 days using serum creatinine (Cr). Acute kidney injury was defined using the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Blood urea nitrogen (BUN) and Cr were assessed using i-STAT, and cystatin C (CysC) was measured by enzyme-linked immunosorbent assay. Results.  Eighty-one (45.5%) children had KDIGO-defined AKI in the study: 42 (51.9%) stage 1, 18 (22.2%) stage 2, and 21 (25.9%) stage 3. Acute kidney injury evolved or developed in 50% of children after admission of hospital. There was an increased risk of AKI in children randomized to inhaled nitric oxide (iNO), with 47 (54.0%) of children in the iNO arm developing AKI compared with 34 (37.4%) in the placebo arm (relative risk, 1.36; 95% confidence interval [CI], 1.03–1.80). Duration of hospitalization increased across stages of AKI (P = .002). Acute kidney injury was associated with neurodisability at discharge in the children receiving placebo (25% in children with AKI vs 1.9% in children with no AKI, P = .002). Mortality increased across stages of AKI (P = .006) in the placebo arm, reaching 37.5% in stage 3 AKI. Acute kidney injury was not associated with neurodisability or mortality at discharge in children receiving iNO (P &gt; .05 for both). Levels of kidney biomarkers were predictive of mortality with areas under the curves (AUCs) of 0.80 (95% CI, .65–.95; P = .006) and 0.72 (95% CI, .57–.87; P &lt; .001), respectively. Admission levels of CysC and BUN were elevated in children who died by 6 months (P &lt; .0001 and P = .009, respectively). Conclusions.  Acute kidney injury is an underrecognized complication in young children with SM and is associated with increased mortality.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9984
Author(s):  
Shin-Yi Tsai ◽  
Chon-Fu Lio ◽  
Shou-Chuan Shih ◽  
Cheng-Jui Lin ◽  
Yu-Tien Chen ◽  
...  

Background Acute kidney injury (AKI) is one of the most severe complications of burn injury. AKI with severe burn injury causes high mortality. This study aims to investigate the incidence of and predisposing factors for AKI in burn patients. Methods This is a single-center, retrospective, descriptive criterion standard study conducted from June 27, 2015, to March 8, 2016. We used Kidney Disease Improving Global Outcomes criteria to define and select patients with AKI. The study was conducted by recruiting in hospital patients who suffered from the flammable cornstarch-based powder explosion and were treated under primary care procedures. A total of 49 patients who suffered from flammable dust explosion-related burn injury were enrolled and admitted on June 27, 2015. The patients with more than 20% total body surface area of burn were transferred to the intensive care unit. Patients received fluid resuscitation in the first 24 hours based on the Parkland formula. The primary measurements were the incidence of and predisposing factors for AKI in these patients. Demographic characteristics, laboratory data, and inpatient outcomes were also evaluated. The incidence of AKI in this cohort was 61.2% (n = 30). The mortality rate was 2.0% (n = 1) during a 59-day follow-up period. The multivariate analysis revealed inhalation injury (adjusted OR = 22.0; 95% CI [1.4–358.2]) and meeting ≥3 American Burn Association (ABA) sepsis criteria (adjusted OR = 13.7; 95% CI [1.7–110.5]) as independent risk factors for early advanced AKI. Conclusions The incidence rate of AKI was higher in this cohort than in previous studies, possibly due to the flammable dust explosion-related burn injury. However, the mortality was lower than that expected. In clinical practice, indicators of inflammation, including ABA sepsis criteria may help in predicting the risk of AKI in patients with burn injury.


2016 ◽  
Vol 115 (12) ◽  
pp. 1046-1052 ◽  
Author(s):  
George Kuo ◽  
Shih-Yi Yang ◽  
Shiow-Shuh Chuang ◽  
Pei-Chun Fan ◽  
Chih-Hsiang Chang ◽  
...  

2020 ◽  
Vol 41 (4) ◽  
pp. 866-870
Author(s):  
Ilmari Rakkolainen ◽  
Kukka-Maaria Mustonen ◽  
Jyrki Vuola

Abstract Acute kidney injury is a common sequela after major burn injury, but only a small proportion of patients need renal replacement therapy. In the majority of patients, need for renal replacement therapy subsides before discharge from the burn center but limited literature exists on long-term outcomes. A few studies report an increased risk for chronic renal failure after burn injury. We investigated the long-term outcome of severely burned patients receiving renal replacement therapy during acute burn injury treatment. Data on 68 severely burned patients who received renal replacement therapy in Helsinki Burn Centre between November 1988 and December 2015 were collected retrospectively. Thirty-two patients survived and remained for follow-up after the primary hospital stay until December 31, 2016. About 56.3% of discharged patients were alive at the end of follow-up. In 81.3% of discharged patients, need for renal replacement therapy subsided before discharge. Two patients received renal replacement therapy for longer than 3 months; however, need for renal replacement therapy subsided in both patients. One patient required dialysis several years later on after the need for renal replacement therapy had subsided. This study showed that long-term need for renal replacement therapy is rare after severe burn injury. In the vast majority of patients, need for renal replacement therapy subsided before discharge from primary care. Acute kidney injury in association with burns is a potential but small risk factor for later worsening of kidney function in fragile individuals.


2020 ◽  
Vol 41 (Supplement_1) ◽  
pp. S68-S68
Author(s):  
Isabel Bernal ◽  
Rosemary Paine ◽  
Damien W Carter ◽  
Carolyne Falank

Abstract Introduction As the population ages; burn centers, especially those with a large rural catchment, will be expected to care for older adults with complex medical co-morbidities. Recent work has shown that %TBSA at which 50% of patients would be expected to die (LD50) for elderly patients is up to 20% lower than non-elderly patients. However, the factors contributing to mortality are unclear. We undertook this study to characterize our experience with elderly burn patients in our rural state and to understand how mortality is affected by comorbid disease. Methods We performed a retrospective review of all burn patients ≥50 years old admitted to our burn center over a 5 year period between January 2014 and December 2018. We collected demographic and injury data including %TBSA, mechanism, inhalation injury status, discharge disposition, length of stay as well as complications including pneumonia, kidney injury, wound infection and graft loss. We calculated the modified Baux score, Charlson Comorbidity Index (CCI) and overall mortality for each patient. The %TBSA and CCI were correlated with complications and mortality using the Pearson correlation coefficient analysis. Results There were 243 patients (35%) who met inclusion criteria out of total of 688 burn admissions during that period. The median age was 60 years (mean 62.2, range: 50–95) and 72.4% were male. The median TBSA was 4% (mean: 8.2%, range: 0.5% - 55%). We found weak correlations between CCI and both pneumonia (R=0.177, p=0.005) and mortality (R=0.1297, p=0.0434). There was also a weak correlation between %TBSA and pneumonia (R=0.3302, p &lt; 0.001), kidney injury (R=0.205, p=0.001), wound infection (R=0.1295, p=0.045) and graft loss (R=0.2616, p&lt; 0.001). Interestingly, in the subgroup with &gt; 15% TBSA burns (n=35), there was no significant correlation with increased complications. For the entire cohort, the predicted mortality based on the mean modified Baux score was 16%. The actual observed mortality was 4.1%. Conclusions Our findings suggest that, in our center, CCI is not predictive of burn related complications or mortality and %TBSA is not predictive of complications or death. The observed to expected mortality ratio was remarkably low. Applicability of Research to Practice As we treat older burn patients, it is important to identify the individual patient factors and hospital specific burn care factors that may improve outcomes in the elderly population.


2019 ◽  
Vol 85 (7) ◽  
pp. 725-729 ◽  
Author(s):  
Joshua Parreco ◽  
Hahn Soe-Lin ◽  
Jonathan J. Parks ◽  
Saskya Byerly ◽  
Matthew Chatoor ◽  
...  

Prior studies have used vital signs and laboratory measurements with conventional modeling techniques to predict acute kidney injury (AKI). The purpose of this study was to use the trend in vital signs and laboratory measurements with machine learning algorithms for predicting AKI in ICU patients. The eICU Collaborative Research Database was queried for five consecutive days of laboratory measurements per patient. Patients with AKI were identified and trends in vital signs and laboratory values were determined by calculating the slope of the least-squares-fit linear equation using three days for each value. Different machine learning classifiers (gradient boosted trees [GBT], logistic regression, and deep learning) were trained to predict AKI using the laboratory values, vital signs, and slopes. There were 151,098 ICU stays identified and the rate of AKI was 5.6 per cent. The best performing algorithm was GBT with an AUC of 0.834 ± 0.006 and an F-measure of 42.96 per cent ± 1.26 per cent. Logistic regression performed with an AUC of 0.827 ± 0.004 and an F-measure of 28.29 per cent ± 1.01 per cent. Deep learning performed with an AUC of 0.817 ± 0.005 and an F-measure of 42.89 per cent ± 0.91 per cent. The most important variable for GBT was the slope of the minimum creatinine (30.32%). This study identifies the best performing machine learning algorithms for predicting AKI using trends in laboratory values in ICU patients. Early identification of these patients using readily available data indicates that incorporating machine learning predictive models into electronic medical record systems is an inevitable requisite for improving patient outcomes.


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