The severity of initial acute kidney injury at admission of geriatric patients significantly correlates with subsequent in-hospital complications

Association between the levels of urinary cell cycle biomarkers and non-recovery of renal function among critically ill geriatric patients with acute kidney injury

The lack of early renal function recovery among geriatric patients with acute kidney injury (AKI) in the intensive care unit (ICU) is a commonly observed and acknowledged poor prognostic factor, especially for older adults. However, no reliable prognostic biomarker is available for identifying individuals at risk of renal non-recovery or mortality in older adults. In this prospective observational cohort study, we enrolled critically ill older adults (aged ≥ 60 years) with AKI from the ICU and followed their disease progression. The primary endpoint was renal non-recovery within seven days of follow-up, while the secondary endpoint was the determinants of 30-day mortality after AKI. We assessed the predictive accuracy using receiver operating characteristic curves and performed between-group comparisons using the log-rank test. Among 209 older adults, 117 (56.0%) experienced renal recovery. Multiple regression analysis revealed that urine levels of tissue inhibitor of metalloproteinase-2 (TIMP-2) multiplied by insulin-like growth factor-binding protein 7 (IGFBP7) ([TIMP-2]*[IGFBP7]), AKI stages 2-3, and the Acute Physiology and Chronic Health Evaluation (APACHE II) score were independently associated with renal non-recovery. The regression model incorporating [TIMP-2]*[IGFBP7] demonstrated a fair predictive value (AUC 0.774, p < 0.001), with the optimal threshold set at 0.81 (ng/mL)2/1000. When [TIMP-2]*[IGFBP7] was combined with AKI severity and the APACHE score, the AUC increased to 0.851. In conclusion, urine [TIMP-2]*[IGFBP7] is a reliable biomarker associated with renal non-recovery in critically ill older adults, and its predictive efficacy can be further enhanced when combined with AKI severity and the APACHE score.

Acute kidney injury in nonagenarians: clinical characteristics and mortality

INTRODUCTION

Nonagenarians constitute a rising percentage of inpatients, with acute kidney injury (AKI) being frequent in this population. Thus, it is important to analyze the clinical characteristics of this demographic and their impact on mortality.

METHODS

Retrospective study of nonagenarian patients with AKI at a tertiary hospital between 2013 and 2022. Only the latest hospital admission was considered, and patients with incomplete data were excluded. A logistic regression analysis was conducted to define risk factors for mortality. A p-value < 0.05 was considered statistically significant.

RESULTS

A total of 150 patients were included, with a median age of 93.0 years (91.2-95.0), and males accounting for 42.7% of the sample. Sepsis was the most common cause of AKI (53.3%), followed by dehydration/hypovolemia (17.7%), and heart failure (17.7%). ICU admission occurred in 39.3% of patients, mechanical ventilation in 14.7%, vasopressors use in 22.7% and renal replacement therapy (RRT) in 6.7%. Death occurred in 56.7% of patients. Dehydration/hypovolemia as an etiology of AKI was associated with a lower risk of mortality (OR 0.18; 95% CI 0.04-0.77, p = 0.020). KDIGO stage 3 (OR 3.15; 95% CI 1.17-8.47, p = 0.023), ICU admission (OR 12.27; 95% CI 3.03-49.74, p < 0.001), and oliguria (OR 5.77; 95% CI 1.98-16.85, p = 0.001) were associated with mortality.

CONCLUSION

AKI nonagenarians had a high mortality rate, with AKI KDIGO stage 3, oliguria, and ICU admission being associated with death.

Comparing Clinical Characteristics and Short-Term Outcomes Between Adult and Geriatric Patients Undergoing Charcot Reconstruction

Maintaining an acceptable quality of life following a lifetime of chronic diseases and resulting physiologic effects poses a challenge when treating an aging population. In those with Charcot neuroarthropathy, wounds, and infection complicate decision making when considering limb preservation versus amputation. The purpose of this investigation is to describe the clinical characteristics and short-term outcomes of geriatric patients undergoing Charcot reconstruction. A retrospective chart review of patients who underwent Charcot reconstruction from 2016 to 2022 was conducted. Demographics, medical history, deformity type, surgical intervention, discharge planning, and short-term complications were collected. Descriptive statistics were calculated, and clinical characteristics and short-term outcomes were compared between the non-geriatric, adult (A) and geriatric (G) cohorts using Student's t-test or chi-squared test. Overall, 125 patients were reviewed for final analysis. Charcot deformity type, prevalence of wounds, osteomyelitis, and fixation construct did not significantly differ between groups. While the proportion of those experiencing a prolonged admission did not significantly differ between cohorts, the geriatric group showed age-related pathology including delirium and urinary tract infections. While discharge to nursing facilities did differ between groups (G 43% versus A 19%), baseline function did not. The 30-day unplanned readmission and mortality rates did differ between groups, though this difference was not statistically significant. Prior to geriatric Charcot reconstruction, consideration should be given to age-related comorbidities. Specifically, with a greater incidence of age-related complications unrelated to the surgery as well as mortality in the geriatric group, complications should be discussed at length.

Dialysis resource allocation in critical care: the impact of the COVID-19 pandemic and the promise of big data analytics

The COVID-19 pandemic resulted in an unprecedented burden on intensive care units (ICUs). With increased demands and limited supply, critical care resources, including dialysis machines, became scarce, leading to the undertaking of value-based cost-effectiveness analyses and the rationing of resources to deliver patient care of the highest quality. A high proportion of COVID-19 patients admitted to the ICU required dialysis, resulting in a major burden on resources such as dialysis machines, nursing staff, technicians, and consumables such as dialysis filters and solutions and anticoagulation medications. Artificial intelligence (AI)-based big data analytics are now being utilized in multiple data-driven healthcare services, including the optimization of healthcare system utilization. Numerous factors can impact dialysis resource allocation to critically ill patients, especially during public health emergencies, but currently, resource allocation is determined using a small number of traditional factors. Smart analytics that take into account all the relevant healthcare information in the hospital system and patient outcomes can lead to improved resource allocation, cost-effectiveness, and quality of care. In this review, we discuss dialysis resource utilization in critical care, the impact of the COVID-19 pandemic, and how AI can improve resource utilization in future public health emergencies. Research in this area should be an important priority.

Geographic and Temporal Trends in COVID-Associated Acute Kidney Injury in the National COVID Cohort Collaborative

BACKGROUND

AKI is associated with mortality in patients hospitalized with coronavirus disease 2019 (COVID-19); however, its incidence, geographic distribution, and temporal trends since the start of the pandemic are understudied.

METHODS

Electronic health record data were obtained from 53 health systems in the United States in the National COVID Cohort Collaborative. We selected hospitalized adults diagnosed with COVID-19 between March 6, 2020, and January 6, 2022. AKI was determined with serum creatinine and diagnosis codes. Time was divided into 16-week periods (P1-6) and geographical regions into Northeast, Midwest, South, and West. Multivariable models were used to analyze the risk factors for AKI or mortality.

RESULTS

Of a total cohort of 336,473, 129,176 (38%) patients had AKI. Fifty-six thousand three hundred and twenty-two (17%) lacked a diagnosis code but had AKI based on the change in serum creatinine. Similar to patients coded for AKI, these patients had higher mortality compared with those without AKI. The incidence of AKI was highest in P1 (47%; 23,097/48,947), lower in P2 (37%; 12,102/32,513), and relatively stable thereafter. Compared with the Midwest, the Northeast, South, and West had higher adjusted odds of AKI in P1. Subsequently, the South and West regions continued to have the highest relative AKI odds. In multivariable models, AKI defined by either serum creatinine or diagnostic code and the severity of AKI was associated with mortality.

CONCLUSIONS

The incidence and distribution of COVID-19-associated AKI changed since the first wave of the pandemic in the United States.

PODCAST

This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_08_08_CJN0000000000000192.mp3.

The duration of acute kidney injury is an additional parameter to predict 1-year survival in very elderly patients

Background

Acute kidney injury (AKI) is primarily defined and classified according to the magnitude of the elevation of serum creatinine (Scr). We aimed to determine whether the duration of AKI adds prognostic value in addition to that obtained from the magnitude of injury alone.

Methods

This retrospective study enrolled very elderly inpatients (≥75 years) in the Chinese PLA General Hospital from January 2007 to December 2018. AKI was stratified by magnitude according to KDIGO stage (1, 2, and 3) and duration (1-2 days, 3-4 days, 5-7 days, and >7 days). The primary outcome was the 1-year mortality after AKI. Multivariable Cox regression analysis was performed to identify covariates associated with the 1-year mortality. The probability of survival was estimated using the Kaplan-Meier method, and curves were compared using the log-rank test.

Results

In total, 688 patients were enrolled, with the median age was 88 (84-91) years, and the majority (652, 94.8%) were male. According to the KDIGO criteria, 317 patients (46.1%) had Stage 1 AKI, 169 (24.6%) had Stage 2 AKI, and 202 (29.3%) had Stage 3 AKI. Of the 688 study subjects, 61 (8.9%) with a duration of AKI lasted 1-2 days, 104 (15.1%) with a duration of AKI lasted 3-4 days, 140 (20.3%) with a duration of AKI lasted 5-7 days, and 383 (55.7%) with a duration of AKI lasted >7 days. Within each stage, a longer duration of AKI was slightly associated with a higher rate of 1-year mortality. However, within each of the duration categories, the stage of AKI was significantly associated with 1-year mortality. When considered separately in multivariate analyses, both the duration of AKI (3-4 days: HR=3.184; 95% CI: 1.733-5.853; P <0.001, 5-7 days: HR=1.915; 95% CI: 1.073-3.416; P=0.028; >7 days: HR=1.766; 95% CI: 1.017-3.065; P=0.043) and more advanced AKI stage (Stage 2: HR=3.063; 95% CI: 2.207-4.252; P <0.001; Stage 3: HR=7.333; 95% CI: 5.274-10.197; P <0.001) were independently associated with an increased risk of 1-year mortality.

Conclusions

In very elderly AKI patients, both a higher stage and duration were independently associated with an increased risk of 1-year mortality. Hence, the duration of AKI adds additional information to predict long-term mortality.

Readmission and Mortality After Hospitalization With Acute Kidney Injury

RATIONALE & OBJECTIVE

Acute kidney injury (AKI) carries high rates of morbidity and mortality. This study quantified various short- and long-term outcomes after hospitalization with AKI.

STUDY DESIGN

Retrospective propensity score (PS)-matched cohort study.

SETTING & PARTICIPANTS

Optum Clinformatics, a national claims database, was used to identify patients hospitalized with and without an AKI discharge diagnosis between January 2007 and September 2020.

EXPOSURE

Among patients with prior continuous enrollment for at least 2years without AKI hospitalization, 471,176 patients hospitalized with AKI were identified and PS-matched to 471,176 patients hospitalized without AKI.

OUTCOME(S)

All-cause and selected-cause rehospitalizations and mortality 90 and 365 days after index hospitalization.

ANALYTICAL APPROACH

After PS matching, rehospitalization and death incidences were estimated using the cumulative incidence function method and compared using Gray's test. The association of AKI hospitalization with each outcome was tested using Cox models for all-cause mortality and, with mortality as competing risk, cause-specific hazard modeling for all-cause and selected-cause rehospitalization. Overall and stratified analyses were performed to evaluate for interaction between an AKI hospitalization and preexisting chronic kidney disease (CKD).

RESULTS

After PS matching, AKI was associated with higher rates of rehospitalization for any cause (hazard ratio [HR], 1.62; 95% CI, 1.60-1.65), end-stage renal disease (HR, 6.21; 95% CI, 1.04-36.92), heart failure (HR, 2.81; 95% CI, 2.66, 2.97), sepsis (HR, 2.62; 95% CI, 2.49-2.75), pneumonia (HR, 1.47; 95% CI, 1.37-1.57), myocardial infarction (HR, 1.48; 95% CI, 1.33-1.65), and volume depletion (HR, 1.64; 95% CI, 1.37-1.96) at 90 days after discharge compared with the group without AKI, with similar findings at 365 days. Mortality rate was higher in the group with AKI than in the group without AKI at 90 (HR, 2.66; 95% CI, 2.61-2.72) and 365 days (HR, 2.11; 95% CI, 2.08-2.14). The higher risk of outcomes persisted when participants were stratified by CKD status (P<0.01).

LIMITATIONS

Causal associations between AKI and the reported outcomes cannot be inferred.

CONCLUSIONS

AKI during hospitalization in patients with and without CKD is associated with increased risk of 90- and 365-day all-cause/selected-cause rehospitalization and death.

Development and validation of a nomogram for predicting in-hospital mortality of elderly patients with persistent sepsis-associated acute kidney injury in intensive care units: a retrospective cohort study using the MIMIC-IV database

OBJECTIVES

To identify the clinical risk factors that influence in-hospital mortality in elderly patients with persistent sepsis-associated acute kidney injury (S-AKI) and to establish and validate a nomogram to predict in-hospital mortality.

DESIGN

Retrospective cohort analysis.

SETTING

Data from critically ill patients at a US centre between 2008 and 2021 were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database (V.1.0).

PARTICIPANTS

Data from 1519 patients with persistent S-AKI were extracted from the MIMIC-IV database.

PRIMARY OUTCOME

All-cause in-hospital death from persistent S-AKI.

RESULTS

Multiple logistic regression revealed that gender (OR 0.63, 95% CI 0.45-0.88), cancer (2.5, 1.69-3.71), respiratory rate (1.06, 1.01-1.12), AKI stage (2.01, 1.24-3.24), blood urea nitrogen (1.01, 1.01-1.02), Glasgow Coma Scale score (0.75, 0.70-0.81), mechanical ventilation (1.57, 1.01-2.46) and continuous renal replacement therapy within 48 hours (9.97, 3.39-33.9) were independent risk factors for mortality from persistent S-AKI. The consistency indices of the prediction and the validation cohorts were 0.780 (95% CI: 0.75-0.82) and 0.80 (95% CI: 0.75-0.85), respectively. The model's calibration plot suggested excellent consistency between the predicted and actual probabilities.

CONCLUSIONS

This study's prediction model demonstrated good discrimination and calibration abilities to predict in-hospital mortality of elderly patients with persistent S-AKI, although it warrants further external validation to verify its accuracy and applicability.

Development and validation of short-term renal prognosis prediction model in diabetic patients with acute kidney injury

OBJECTIVE

Diabetes is a major cause of the progression of acute kidney injury (AKI). Few prediction models have been developed to predict the renal prognosis in diabetic patients with AKI so far. The aim of this study was to develop and validate a predictive model to identify high-risk individuals with non-recovery of renal function at 90 days in diabetic patients with AKI.

METHODS

Demographic data and related laboratory indicators of diabetic patients with AKI in the First Affiliated Hospital of Guangxi Medical University from January 31, 2012 to January 31, 2022 were retrospectively analysed, and patients were followed up to 90 days after AKI diagnosis. Based on the results of Logistic regression, a model predicting the risk of non-recovery of renal function at 90 days in diabetic patients with AKI was developed and internal validated. Consistency index (C-index), calibration curve, and decision curve analysis were used to evaluate the differentiation, accuracy, and clinical utility of the prediction model, respectively.

RESULTS

A total of 916 diabetic patients with AKI were enrolled, with a male to female ratio of 2.14:1. The rate of non-recovery of renal function at 90 days was 66.8% (612/916). There were 641 in development cohort and 275 in validation cohort (ration of 7:3). In the development cohort, a prediction model was developed based on the results of Logistic regression analysis. The variables included in the model were: diabetes duration (OR = 1.022, 95% CI  1.012-1.032), hypertension (OR = 1.574, 95% CI 1.043-2.377), chronic kidney disease (OR = 2.241, 95% CI 1.399-3.591), platelet (OR = 0.997, 95% CI 0.995-1.000), 25-hydroxyvitamin D3 (OR = 0.966, 95% CI  0.956-0.976), postprandial blood glucose (OR = 1.104, 95% CI 1.032-1.181), discharged serum creatinine (OR = 1.003, 95% CI 1.001-1.005). The C-indices of the prediction model were 0.807 (95% CI 0.738-0.875) and 0.803 (95% CI 0.713-0.893) in the development and validation cohorts, respectively. The calibration curves were all close to the straight line with slope 1. The decision curve analysis showed that in a wide range of threshold probabilities.

CONCLUSION

A prediction model was developed to help predict short-term renal prognosis of diabetic patients with AKI, which has been verified to have good differentiation, calibration degree and clinical practicability.

Incidence, severity, risk factors and outcomes of acute kidney injury in older adults: systematic review and meta-analysis

OBJECTIVES

Old age was identified as a strong risk factor for acute kidney injury (AKI). Our objectives were to provide estimates of AKI, risk factors and outcomes in patients ≥ 75 years for whom data are scarce.

METHODS

Observational studies and randomized controlled trials between 2005 and 2021 with patients of mean or median age ≥ 75 years, reporting AKI according to current definitions. Data on AKI incidence, risk factors and mortality were analyzed separately in unselected (UC) and acute heart failure (AHF) cohorts.

RESULTS

Twenty-six observational studies and 4 randomized controlled trials with 51,111 UC and 25,414 AHF patients were included. Ages averaged 79.4 and 79.8 years, respectively. Pooled risk ratios (RRs) of AKI rates were 26.29% (95% confidence intervals (CI) 13.20-41.97) (UC) and 24.21% (95% CI 20.03-28.65) (AHF). In both cohorts, AKI was associated with decreased estimated glomerular filtration rate at baseline, chronic kidney disease (UC: RR 1.80 (95% CI 1.15-2.80), AHF: RR 1.51 (95% CI 1.26-1.95) and hypertension (UC: RR 1.30 (95% CI 1.09-1.56), AHF: RR 1.07 (95% CI 1.05-1.09). RRs of AKI in patients on renin-angiotensin-inhibitors were 0.87 (95% CI 0.78-0.97) and 0.88 (95% CI 0.78-0.98) in UC and AHF, respectively. AKI was consistently associated with increased risk of in-hospital mortality (UC: RR 3.15 (95% CI 2.28-4.35), AHF: RR 4.28 (95% CI 2.53-7.24).

CONCLUSION

AKI is frequent in patients ≥ 75 years. While reduced renal function at baseline, CKD and hypertension were associated with AKI development, renin-angiotensin-inhibitors may be protective. Older AKI patients showed higher short-term mortality rates.

COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality

Background

Acute kidney injury (AKI) is associated with mortality in patients hospitalized with COVID-19, however, its incidence, geographic distribution, and temporal trends since the start of the pandemic are understudied.

Methods

Electronic health record data were obtained from 53 health systems in the United States (US) in the National COVID Cohort Collaborative (N3C). We selected hospitalized adults diagnosed with COVID-19 between March 6th, 2020, and January 6th, 2022. AKI was determined with serum creatinine (SCr) and diagnosis codes. Time were divided into 16-weeks (P1-6) periods and geographical regions into Northeast, Midwest, South, and West. Multivariable models were used to analyze the risk factors for AKI or mortality.

Results

Out of a total cohort of 306,061, 126,478 (41.0 %) patients had AKI. Among these, 17.9% lacked a diagnosis code but had AKI based on the change in SCr. Similar to patients coded for AKI, these patients had higher mortality compared to those without AKI. The incidence of AKI was highest in P1 (49.3%), reduced in P2 (40.6%), and relatively stable thereafter. Compared to the Midwest, the Northeast, South, and West had higher adjusted AKI incidence in P1, subsequently, the South and West regions continued to have the highest relative incidence. In multivariable models, AKI defined by either SCr or diagnostic code, and the severity of AKI was associated with mortality.

Conclusions

Uncoded cases of COVID-19-associated AKI are common and associated with mortality. The incidence and distribution of COVID-19-associated AKI have changed since the first wave of the pandemic in the US.

Duration of Acute Kidney Injury and In-Hospital Mortality in Elder Patients with Severe COVID-19: A Retrospective Cohort Study

Background

Patients with severe coronavirus disease 2019 (COVID-19) who develop acute kidney injury (AKI) in the intensive care unit (ICU) have extremely high rates of mortality. This study evaluated the prognostic impact of AKI duration on in-hospital mortality in elder patients.

Methods

We performed a retrospective study of 126 patients with confirmed COVID-19 with severe or critical disease who treated in the ICU from February 4, 2020, to April 16, 2020. AKI was defined according to the Kidney Disease Improving Global Outcomes serum creatinine (Scr) criteria. AKI patients were divided into transient AKI and persistent AKI groups based on whether Scr level returned to baseline within 48 h post-AKI.

Results

In total, 107 patients were included in the final analysis. The mean age was 70 (64–78) years, and 69 (64.5%) patients were men. AKI occurred in 48 (44.9%) during their ICU stay. Of these, 11 (22.9%) had transient AKI, and 37 (77.9%) had persistent AKI. In-hospital mortality was 18.6% (n = 11) for patients without AKI, 72.7% (n = 8) for patients with transient AKI, and 86.5% (n = 32) for patients with persistent AKI (P < 0.001). Kaplan–Meier curve analysis revealed that patients with both transient AKI and persistent AKI had significantly higher death rates than those without AKI (log-rank P < 0.001). Multivariate Cox regression analysis revealed that transient and persistent AKI were an important risk factor for in-hospital mortality in older patients with severe COVID-19 even after adjustment for variables (hazard ratio [HR] = 2.582; 95% CI: 1.025–6.505; P = 0.044; and HR = 6.974; 95% CI: 3.334–14.588; P < 0.001).

Conclusions

AKI duration can be an important predictive parameter in elder patients suffering from COVID-19 and are admitted to ICU. Among these patients, those exhibiting persistent AKI have a lower in-hospital survival rate than those with transient AKI, emphasizing the importance of identifying an appropriate treatment window for early intervention.

Recurrent acute kidney injury in elderly patients is common and associated with 1-year mortality

BACKGROUND

Acute kidney injury (AKI) is common among elderly patients after a first hospitalized AKI. Patients who recover are at risk for recurrence, but recurrent geriatric AKI is not well-studied.

METHODS

This was a retrospective, 12-month cohort study using data from the National Clinical Research Center for Geriatric Diseases. Recurrent AKI was defined as a new spontaneous rise of ≥ 0.3 mg/dl (≥ 26.5 µmol/L) within 48 h or a 50% increase in serum creatinine (Scr) from the baseline within 7 days after the previous AKI episode. The outcome measured was 12-month mortality.

RESULTS

Among 1711 study patients, 652 developed AKI. Of the 429 AKI survivors in whom recovery could be assessed, 314 patients recovered to their baseline renal function, and 115 patients developed chronic kidney disease (CKD). Of the group that recovered renal function, 90 patients (28.7%) subsequently developed recurrent AKI, while 224 (71.3%) did not. Of the 429 survivors with AKI, 103 patients (24.0%) died within 12 months. Multivariate logistic regression analysis revealed that recurrent AKI was significantly associated with coronary disease (odds ratio [OR = 2.008; 95% confidence interval [CI] 1.024-3.938; P = 0.042), a need for mechanical ventilation (OR = 2.265; 95% CI 1.267-4.051; P = 0.006) and high blood urea nitrogen levels (OR = 1.036; 95% CI 1.002-1.072; P = 0.040) at the first AKI event. Kaplan-Meier curves showed the 12-month survival of patients with non-recurrent AKI was better than that of patients with CKD, and survival of patients with recurrent AKI was worse than that of patients with CKD (log rank P < 0.001). In the multivariate Cox regression analysis, mortality at 12 month was higher in the patient with recurrent AKI as compared with those with a single episode (HR = 3.375; 95% CI 2.241-5.083; P < 0.001).

CONCLUSION

Recurrent AKI is common among elderly patients who recovered their renal function post-AKI and is associated with significantly higher 12-month mortality compared with CKD patients.

Short- and Long-Term Recovery after Moderate/Severe AKI in Patients with and without COVID-19

Background

Severe AKI is strongly associated with poor outcomes in coronavirus disease 2019 (COVID-19), but data on renal recovery are lacking.

Methods

We retrospectively analyzed these associations in 3299 hospitalized patients (1338 with COVID-19 and 1961 with acute respiratory illness but who tested negative for COVID-19). Uni- and multivariable analyses were used to study mortality and recovery after Kidney Disease Improving Global Outcomes Stages 2 and 3 AKI (AKI-2/3), and Machine Learning was used to predict AKI and recovery using admission data. Long-term renal function and other outcomes were studied in a subgroup of AKI-2/3 survivors.

Results

Among the 172 COVID-19-negative patients with AKI-2/3, 74% had partial and 44% complete renal recovery, whereas 12% died. Among 255 COVID-19 positive patients with AKI-2/3, lower recovery and higher mortality were noted (51% partial renal recovery, 25% complete renal recovery, 24% died). On multivariable analysis, intensive care unit admission and acute respiratory distress syndrome were associated with nonrecovery, and recovery was significantly associated with survival in COVID-19-positive patients. With Machine Learning, we were able to predict recovery from COVID-19-associated AKI-2/3 with an average precision of 0.62, and the strongest predictors of recovery were initial arterial partial pressure of oxygen and carbon dioxide, serum creatinine, potassium, lymphocyte count, and creatine phosphokinase. At 12-month follow-up, among 52 survivors with AKI-2/3, 26% COVID-19-positive and 24% COVID-19-negative patients had incident or progressive CKD.

Conclusions

Recovery from COVID-19-associated moderate/severe AKI can be predicted using admission data and is associated with severity of respiratory disease and in-hospital death. The risk of CKD might be similar between COVID-19-positive and -negative patients.

Duration of acute kidney injury predicts 90-day mortality and chronic kidney disease progression in elderly patients

Background

This study evaluated the prognostic impact of acute kidney injury (AKI) duration on 90-d mortality and new-onset chronic kidney disease (CKD) progression in elderly patients.

Methods

We retrospectively enrolled elderly patients (≥75 years; n = 693) from the Chinese PLA General Hospital between January 1, 2007 and December 31, 2018. The 2012 Kidney Disease Improving Global Outcomes (KDIGO) defined serum creatinine (Scr) criteria were used to identify and classify AKI. Patients were divided into transient AKI (T-AKI) and persistent AKI (P-AKI) groups based on whether Scr levels returned to baseline within 48 h post-AKI. We further classified P-AKI based on AKI duration: (1) short duration: resolving AKI lasting 3-4 days; (2) medium duration: resolving AKI lasting 5-7 days; and (3) long duration: AKI lasting >7 days.

Results

Among patients, 62 (9.0%) had T-AKI (1-2 days), 104 (15.0%) had short-duration, 140 (20.2%) had medium-duration, and 387 (55.8%) had long-duration. In total, 209 (30.2%) died within 90 days; 122 (25.2%) developed CKD. After adjusting for multiple covariates, duration of AKI (3-4 days: hazard ratio [HR] = 2.512; P =0.045; 5-7 days: HR=3.154; P =0.015; >7 days: HR=6.212; P<0.001) was significantly associated with a higher 90-day mortality. Longer AKI duration (3-4 days: odds ratio [OR] = 0.982; P =0.980; 5-7 days: OR=1.322; P =0.661; >7 days: OR=7.007; P<0.001) was significantly associated with new-onset CKD of survivors.

Conclusion

AKI duration is useful for predicting poorer clinical outcomes in elderly patients, emphasizing the importance of identifying an appropriate treatment window for early intervention.

Association of serum potassium level with early and late mortality in very elderly patients with acute kidney injury

Background

The kidneys play a central role in serum potassium (K ⁺) homeostasis, and their dysfunction leads to electrolyte disorders. We aimed to examine the relationship between different levels of K ⁺ and mortality among very elderly patients with acute kidney injury (AKI).

Methods

We retrospectively enrolled very elderly patients (≥75 years) with AKI from the hospital information system of the Chinese PLA General Hospital from January 1, 2007 to December 31, 2018. All-cause mortality was examined according to six predefined K ⁺ levels: <3.50 mmol/L, 3.50-3.79 mmol/L, 3.80-4.09 mmol/L, 4.10-4.79 mmol/L, 4.80-5.49 mmol/L, and ≥5.50 mmol/L. We estimated the risk of all-cause mortality using the multivariable adjusted Cox proportional hazard model with the normal K ⁺ level at 3.50-3.79 mmol/L as a reference.

Results

In total, 747 patients were deemed suitable for the final evaluation. The median age of the 747 participants was 88 (84-91) years. After 90 days, the mortality rates in the six strata were 28.3%, 21.9%, 30.1%, 35.4%, 45.2%, and 58.3%, respectively. In the multivariable adjusted analysis, patients with K ⁺ levels of 4.10-4.79 mmol/L (hazard ratio [HR]: 1.638; 95% confidence interval [CI]: 1.016-2.642), 4.80-5.49 mmol/L (HR: 2.585; 95% CI: 1.524-4.384), and ≥5.50 mmol/L (HR: 2.587; 95% CI: 1.495-4.479) had an increased risk of all-cause mortality. After 1 year, the mortality rates in the six strata were 44.8%, 41.1%, 45.1%, 51.8%, 63.1%, and 76.3%, respectively. In the multivariable adjusted analysis, patients with K ⁺ levels of 4.10-4.79 mmol/L (HR: 1.452; 95% CI: 1.014-2.079), 4.80-5.49 mmol/L (HR: 2.151; 95% CI: 1.427-3.241), and ≥5.50 mmol/L (HR: 2.341; 95% CI: 1.514-3.620) had an increased risk of all-cause mortality.

Conclusion

Increased serum K ⁺ levels, including levels of 4.10-5.49 mmol/L and ≥5.50 mmol/L, were associated with a significantly increased short- and long-term risk of death. Serum K ⁺ has the potential to be a marker of disease severity among very elderly patients with AKI.

Restoration of dysnatremia and acute kidney injury benefits outcomes of acute geriatric inpatients

Dysnatremia and dyskalemia are common problems in acutely hospitalized elderly patients. These disorders are associated with an increased risk of mortality and functional complications that often occur concomitantly with acute kidney injury in addition to multiple comorbidities. In a single-center prospective observational study, we recruited 401 acute geriatric inpatients. In-hospital outcomes included all-cause mortality, length of stay, and changes in functional status as determined by the Activities of Daily Living (ADL) scale, Eastern Cooperative Oncology Group (ECOG) performance, and Clinical Frailty Scale (CFS). The prevalence of dysnatremia alone, dyskalemia alone, and dysnatremia plus dyskalemia during initial hospitalization were 28.4%, 14.7% and 32.4%, respectively. Patients with electrolyte imbalance exhibited higher mortality rates and longer hospital stays than those without electrolyte imbalance. Those with initial dysnatremia, or dysnatremia plus dyskalemia were associated with worse ADL scores, ECOG performance and CFS scores at discharge. Subgroup analyses showed that resolution of dysnatremia was related to reduced mortality risk and improved CFS score, whereas recovery of renal function was associated with decreased mortality and better ECOG and CFS ratings. Our data suggest that restoration of initial dysnatremia and acute kidney injury during acute geriatric care may benefit in-hospital survival and functional status at discharge.

Acute kidney injury and aging

Our aging population is growing and developing treatments for age-related diseases such as Alzheimer's and Parkinson's disease has taken on an increasing urgency and is accompanied by high public awareness. The already high and rising incidence of acute kidney injury (AKI) in the elderly, however, has received relatively little attention despite the potentially fatal outcomes associated with an episode of AKI in this age group. When discussing AKI and aging, one should consider two aspects: first, elderly patients have an increased susceptibility to an AKI episode, and second, they have decreased kidney repair after AKI given the high incidence of progression to chronic kidney disease (CKD). It is unclear if the same factors that drive the increased susceptibility to AKI could be playing a role in the decreased repair capacity or if they are totally different and unrelated. This review will examine current knowledge on the risk factors for the increased susceptibility to AKI in the elderly and will also explore potential aspects that might contribute to a decreased kidney repair response in this age group.

Effects of the diagnostic window and duration of acute kidney injury on 1-year mortality in elderly patients: a single-center retrospective study

BACKGROUND

We evaluated the prognostic impact of AKI duration on the 1-year mortality rate in elderly patients diagnosed based on the 48-hour and 7-day changes in serum creatinine (Scr) levels recommended by the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines.

METHODS

This retrospective study was conducted from 2007 to 2018 on elderly patients in the Geriatric Department of the Chinese PLA General Hospital. Based on the two diagnostic criteria in the KDIGO guidelines, the patients were divided into a 48-hour diagnostic window and a 7-day diagnostic window group, and into transient AKI (lasting 1-2 days) and persistent AKI (lasting 3-6 days, and ≥ 7 days) based on the time at which the Scr level returned to the baseline value. The primary outcome was the 1-year mortality rate after AKI.

RESULTS

In total, 688 patients were enrolled, including 367 (53.3%) with a 48-hour and 321 (46.7%) with a 7-day diagnostic window. Of the 688 patients, in the 48-hour window group, 12.0% had transient AKI, 31.1% had lasting 3-6 days, and 56.9% had lasting ≥ 7 days; in the 7-day window group, 5.3% had transient AKI, 24.0% had lasting 3-6 days, and 70.7% had lasting ≥ 7 days. Overall, 332 patients (33.6%) died within 1 year, including 189 (51.5%) in the 48-hour and 143 (44.5%) in the 7-day diagnostic window group. After adjusting for multiple covariates, AKI duration was associated with a significantly higher 1-year mortality rate (3-6 days: HR = 3.535; 95% CI = 1.685-7.417, P = 0.001; ≥ 7 days: HR = 2.400; 95% CI = 1.152-5.001, P = 0.019) in the 48-hour diagnostic window group, but it did not differ in the 7-day diagnostic window group (P = 0.452).

CONCLUSIONS

Persistent AKI was common in elderly hospitalized patients, accounting for 88% and 95% of patients with 48-hour and 7-day diagnostic windows, respectively. Moreover, AKI duration was associated with different clinical outcomes depending on the diagnostic window. Further studies should focus on the mechanism underlying the relationship of AKI outcomes with diagnostic criteria.

Frailty increases the risk for developing urinary tract infection among 79,887 patients with diabetic mellitus and chronic kidney disease

Background

Patients with diabetic mellitus (DM) and chronic kidney disease (CKD) are at an increased risk of urinary tract infection (UTI) due to their altered immunological integrity. These patients are similarly prone to developing frailty, a state of cumulative health deficits involving multiple domains and leading to adverse outcomes. Whether frailty predisposes affected individuals to UTI among patients with DM and CKD remains unclear.

Methods

A population-based cohort of patients with DM and CKD (n = 79,887) were assembled from the Longitudinal Cohort of Diabetes Patients, with their baseline frailty status measured by a  modified FRAIL scale. We analyzed their risk of developing UTI depending on their severity of frailty, after accounting demographic profiles, lifestyle factors, comorbidities, concurrent medications, and major interventions. A secondary analysis focused on the risk of urosepsis related to frailty.

Results

Among all participants, 36.1 %, 50.3 %, 12.8 %, and 0.8 % did not have or had 1, 2, and ≥ 3 FRAIL items, respectively, at baseline. After 3.51 years, 11,175 UTI events occurred. Kaplan-Meier analysis showed that participants with DM, CKD and an increasing number of FRAIL items had successively higher incidence of UTI than those without any FRAIL items (log rank p < 0.001). Cox proportional hazard modeling revealed that after accounting for all confounders, those with more severe frailty exhibited a significantly higher risk of incident UTI (for groups of 1, 2, and ≥ 3 FRAIL items, hazard ratio 1.19, 1.24, and 1.43, respectively; all p < 0.001) than those without. An 11 % risk elevation for UTI could be observed for every FRAIL item increase. Participants with more severe frailty exhibited a trend of having higher risk of urosepsis as well.

Conclusions

Having frailty predicted a higher risk of developing UTI in the future in patients with DM and CKD. It would be prudent to screen for frailty in these patients and provide optimal frailty-directed management to attenuate their risk of UTI and improve their outcomes.

Frailty increases the risk for developing urinary tract infection among 79,887 patients with diabetic mellitus and chronic kidney disease

BACKGROUND

Patients with diabetic mellitus (DM) and chronic kidney disease (CKD) are at an increased risk of urinary tract infection (UTI) due to their altered immunological integrity. These patients are similarly prone to developing frailty, a state of cumulative health deficits involving multiple domains and leading to adverse outcomes. Whether frailty predisposes affected individuals to UTI among patients with DM and CKD remains unclear.

METHODS

A population-based cohort of patients with DM and CKD (n = 79,887) were assembled from the Longitudinal Cohort of Diabetes Patients, with their baseline frailty status measured by a  modified FRAIL scale. We analyzed their risk of developing UTI depending on their severity of frailty, after accounting demographic profiles, lifestyle factors, comorbidities, concurrent medications, and major interventions. A secondary analysis focused on the risk of urosepsis related to frailty.

RESULTS

Among all participants, 36.1 %, 50.3 %, 12.8 %, and 0.8 % did not have or had 1, 2, and ≥ 3 FRAIL items, respectively, at baseline. After 3.51 years, 11,175 UTI events occurred. Kaplan-Meier analysis showed that participants with DM, CKD and an increasing number of FRAIL items had successively higher incidence of UTI than those without any FRAIL items (log rank p < 0.001). Cox proportional hazard modeling revealed that after accounting for all confounders, those with more severe frailty exhibited a significantly higher risk of incident UTI (for groups of 1, 2, and ≥ 3 FRAIL items, hazard ratio 1.19, 1.24, and 1.43, respectively; all p < 0.001) than those without. An 11 % risk elevation for UTI could be observed for every FRAIL item increase. Participants with more severe frailty exhibited a trend of having higher risk of urosepsis as well.

CONCLUSIONS

Having frailty predicted a higher risk of developing UTI in the future in patients with DM and CKD. It would be prudent to screen for frailty in these patients and provide optimal frailty-directed management to attenuate their risk of UTI and improve their outcomes.

Serum Sodium Levels Predict Mortality in Elderly Acute Kidney Injury Patients: A Retrospective Observational Study

Purpose

We examined the relationship between different levels of serum sodium and mortality among elderly patients with acute kidney injury (AKI).

Methods

We retrospectively enrolled elderly patients from Chinese PLA General Hospital from 2007, to 2018. All-cause mortality was examined according to eight predefined sodium levels: <130.0 mmol/L, 130.0–134.9 mmol/L, 135.0–137.9 mmol/L, 138.0–141.9 mmol/L, 142.0–144.9 mmol/L, 145.0–147.9 mmol/L, 148.0–151.9 mmol/L, and ≥152.0 mmol/L. We estimated the risk of all-cause mortality using a multivariable adjusted Cox analysis, with a normal sodium level of 135.0–137.9 mmol/L as a reference.

Results

In total, 744 patients were suitable for the final evaluation. After 90 days, the mortality rates in the eight strata were 36.1, 27.8, 19.6, 24.4, 30.7, 48.6, 52.8, and 57.7%, respectively. In the multivariable adjusted analysis, patients with sodium levels <130.0 mmol/L (HR: 2.247; 95% CI: 1.117–4.521), from 142.0 to 144.9 mmol/L (HR: 1.964; 95% CI: 1.100–3.508), from 145.0 to 147.9 mmol/L (HR: 2.942; 95% CI: 1.693–5.114), from 148.0 to 151.9 mmol/L (HR: 3.455; 95% CI: 2.009–5.944), and ≥152.0 mmol/L (HR: 3.587; 95% CI: 2.151–5.983) had an increased risk of all-cause mortality. After 1 year, the mortality rates in the eight strata were 58.3, 47.8, 33.7, 38.9, 45.5, 64.3, 69.4, and 78.4%, respectively. Patients with sodium levels <130.0 mmol/L (HR: 1.944; 95% CI: 1.125–3.360), from 142.0 to 144.9 mmol/L (HR: 1.681; 95% CI: 1.062–2.660), from 145.0 to 147.9 mmol/L (HR: 2.631; 95% CI: 1.683–4.112), from 148.0 to 151.9 mmol/L (HR: 2.411; 95% CI: 1.552–3.744), and ≥152.0 mmol/L (HR: 3.037; 95% CI: 2.021–4.563) had an increased risk of all-cause mortality.

Conclusion

Sodium levels outside the interval of 130.0–141.9 mmol/L were associated with increased risks of 90-day mortality and 1-year mortality in elderly AKI patients.

Development and Validation of a Prediction Model for Survival in Diabetic Patients With Acute Kidney Injury

OBJECTIVE

We aimed to analyze the risk factors affecting all-cause mortality in diabetic patients with acute kidney injury (AKI) and to develop and validate a nomogram for predicting the 90-day survival rate of patients.

METHODS

Clinical data of diabetic patients with AKI who were diagnosed at The First Affiliated Hospital of Guangxi Medical University from April 30, 2011, to April 30, 2021, were collected. A total of 1,042 patients were randomly divided into a development cohort and a validation cohort at a ratio of 7:3. The primary study endpoint was all-cause death within 90 days of AKI diagnosis. Clinical parameters and demographic characteristics were analyzed using Cox regression to develop a prediction model for survival in diabetic patients with AKI, and a nomogram was then constructed. The concordance index (C-index), receiver operating characteristic curve, and calibration plot were used to evaluate the prediction model.

RESULTS

The development cohort enrolled 730 patients with a median follow-up time of 87 (40-98) days, and 86 patients (11.8%) died during follow-up. The 90-day survival rate was 88.2% (644/730), and the recovery rate for renal function in survivors was 32.9% (212/644). Multivariate analysis showed that advanced age (HR = 1.064, 95% CI = 1.043-1.085), lower pulse pressure (HR = 0.964, 95% CI = 0.951-0.977), stage 3 AKI (HR = 4.803, 95% CI = 1.678-13.750), lower 25-hydroxyvitamin D3 (HR = 0.944, 95% CI = 0.930-0.960), and multiple organ dysfunction syndrome (HR = 2.056, 95% CI = 1.287-3.286) were independent risk factors affecting the all-cause death of diabetic patients with AKI (all p < 0.01). The C-indices of the prediction cohort and the validation cohort were 0.880 (95% CI = 0.839-0.921) and 0.798 (95% CI = 0.720-0.876), respectively. The calibration plot of the model showed excellent consistency between the prediction probability and the actual probability.

CONCLUSION

We developed a new prediction model that has been internally verified to have good discrimination, calibration, and clinical value for predicting the 90-day survival rate of diabetic patients with AKI.

Clinical Characteristics and Short-Term Outcomes of Acute Kidney Injury Missed Diagnosis in Older Patients with Severe COVID-19 in Intensive Care Unit

OBJECTIVES

Patients with severe or critical COVID-19 are at higher risk for developing acute kidney injury (AKI). However, whether AKI is diagnosed in all the patients and the correlation between the outcomes of COVID-19 are not well understood.

PATIENTS AND METHODS

This cohort study was conducted from February 4, 2020 to April 16, 2020 in Wuhan, China. All consecutive inpatients with laboratory-confirmed COVID-19 were included in this study. AKI was defined according to the KDIGO 2012 criteria. The outcomes of patients with and without AKI and whether AKI was or was not recognized were compared.

RESULTS

A total of 107 elderly patients were included in the final analysis. The median age was 70 (64-78) years, and 69 (64.5%) were men. Overall, 48 of 107 patients (44.9%) developed AKI during hospitalization. Meanwhile, 22 (45.8%) cases with AKI was not recognized (missed diagnosis) in this cohort. The Kaplan-Meier curves showed that survival was better in the non-AKI group than in the AKI group (log-rank, all P < 0.001); in the subgroups of the patients with AKI, the hospital survival rate decreased when AKI was not recognized. The survival of patients with recognized AKI was better than that of patients with unrecognized AKI (log-rank, all P < 0.001). According to the multivariate regression analysis, the independent risk factors for in-hospital mortality were AKI (recognized AKI vs non-AKI: HR = 2.413; 95% CI = 1.092-5.333; P = 0.030 and unrecognized AKI vs non-AKI: HR = 4.590; 95% CI = 2.070-10.175; P <0.001), C-reactive protein level (HR = 1.004; 95% CI = 1.000-1.008; P = 0.030), lactate level (HR = 1.236; 95% CI = 1.098-1.391; P < 0.001), and disease classification (critical vs severe: HR = 0.019; 95% CI = 1.347-26.396; P = 5.963).

CONCLUSIONS

AKI is not an uncommon complication in elderly patients with COVID-19 who admitted to ICU. Extremely high rates of underdiagnosis and undertreatment of AKI have resulted in an elevated in-hospital mortality rate. Kidney protection is an important issue that cannot be ignored, and intensive care kidney specialists should take responsibility for leading the battle against AKI.

Persistent Kidney Dysfunction after Acute Kidney Injury Predicts Short-Term Outpatient Mortality

BACKGROUND

Acute kidney injury (AKI) during hospitalization is frequent and associated with adverse outcomes. We have now evaluated the association between renal function recovery after AKI and short-term post-discharge mortality.

METHODS

This is a retrospective study of all AKI episodes codified in the electronic records of a single center in 2013 and 2014. Epidemiological data and comorbidities at baseline and laboratory values at admission and discharge were collected. Persistent kidney dysfunction after AKI was defined as a last serum creatinine equal or above 1.2-fold over baseline level. Patients were followed for 30 days after discharge.

RESULTS

Out of 1720 evaluated patients, 1541 (89%) were analyzed. Of them, 869 (56%) recovered renal function. Independent predictors of renal function recovery after AKI were lower baseline estimated glomerular filtration rate (eGFR) (p < 0.001), higher admission eGFR (p < 0.001) and hemoglobin (p = 0.016), milder AKI (p = 0.037), absence of history of heart failure (p < 0.001), and lower admission blood pressure (p < 0.001). After discharge, 46 (3%) patients died in the first 30 days. Persistent kidney dysfunction was associated (p = 0.01) to and independently predicted (OR 2.6, 95%CI (1.2-5.4), p = 0.01) short term post-discharge mortality.

CONCLUSIONS

Persistent kidney dysfunction after an AKI episode is an independent predictor of 30-day post-discharge mortality. This information may help select AKI patients who required closer follow-up and monitoring after discharge. This article is protected by copyright. All rights reserved.

Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients with COVID-19 in the ICU: A Single-Center Study

Objective

Severe or critical patients with coronavirus disease 2019 (COVID-19) are at increased risk for developing acute kidney injury (AKI). However, the rate of AKI in patients of different severities and independent predictive factors associated with AKI are not well understood.

Patients and Methods

We enrolled 107 severely or critically ill elderly patients with COVID-19 who were admitted to the intensive care unit (ICU) in Wuhan, China. AKI was defined according to the 2012 KDIGO criteria. We explored the association between AKI and in-hospital mortality using logistic regression. A predictive nomogram was formulated to predict the AKI development of patients with COVID-19 based on multivariate logistic regression.

Results

A total of 107 elderly patients were enrolled during the study period. The mean age was 70 (64-78) years, and 69 (64.5%) were men. For the 107 patients, the degree of severity of COVID-19 was categorized as 37 patients with the severe type (34.6%) and 70 patients with the critical type (65.4%). Overall, 48 of the 107 patients (44.9%) developed AKI during their hospitalization, while AKI occurred in 7 (18.9%) out of the 37 severe patients and 41 (44.9%) out of the 70 critical patients. Of the AKI patients, 35.4% (17/48) required continuous renal replacement therapy, including 14.3% of AKI patients in severe cases and 39.0% of AKI patients in critical cases. Kaplan-Meier analysis demonstrated that patients with AKI had a significantly higher risk for in-hospital mortality than severely and critically ill patients without AKI. Multivariate logistic regression analysis showed that AKI (OR = 33.74; 95% CI = 3.34-341.29; P = 0.003), septic shock (OR = 15.58; 95% CI = 2.08-116.78; P = 0.008), invasive mechanical ventilation (OR = 18.44; 95% CI = 2.35-144.69; P = 0.006), and oxygenation index (OR = 0.99; 95% CI = 0.98-1.000; P = 0.014) were independent risk factors for in-hospital mortality. A nomogram was established based on the multivariate analysis results. The C-index for the developed AKI model was 0.935 (95% CI, 0.892-0.978); when 10-fold cross validation was used to validate the model, the corrected C-index was 0.825.

Conclusion

AKI is common among COVID-19 patients admitted to the ICU and is recognized as a marker of disease severity. The proposed nomogram accurately predicted AKI development in ICU patients with COVID-19 based on individual characteristics. Therefore, the strategy for kidney protection against severe or critical pneumonia is appropriate.

Factors associated with the development of acute general surgical pathology in medical in-patients

BACKGROUND

Medical inpatients can develop acute general surgical conditions. However, this is rare. The presence of multiple acute pathologies delays diagnosis and these patients have poorer prognoses.

AIM

To determine the incidence, risk factors and prognosis of medical inpatients developing acute general surgical conditions.

METHODS

A single-centre retrospective case-control study was conducted over one year in the United Kingdom. Medical patients developing acute surgical pathology were identified using the local referral system. For each case, two controls were selected from a pool of medical in-patients receiving no general surgical input during their admission. Patient records were used to collect hospital admission details, demographic and laboratory data. Univariate analysis and multi-variable analysis were performed.

RESULTS

The study included 42 cases and 84 controls. The incidence of general surgical pathology in medical in-patients was 2.3/1000 admissions/year. In multivariate analysis, risk factors associated with developing general surgical pathology were previous abdominal surgery (Odds Ratio [OR] =3.68, 95% Confidence interval [CI]: 1.43 to 9.48, p=0.007) and doubling from baseline creatinine (OR=18.9, 95%CI: 2.57 to 139, p=0.004). Patients with surgical pathology had longer in-patient stays (22.8 vs 9.4 days, p<0.001) and a higher inpatient mortality (23.8% vs 7.1%, p=0.011). Development of surgical pathology was strongly associated with mortality (OR=4.06, 95%CI: 1.36 to 12.1).

CONCLUSION

The development of acute surgical pathology in medical in-patients is rare but associated with longer in-patient stays and higher mortality. We have identified risk-factors associated with the development of surgical pathology which can be used to identify patients at risk of surgical pathology. This article is protected by copyright. All rights reserved.

Hospital-acquired acute kidney injury in very elderly men: clinical characteristics and short-term outcomes

Objectives

We explored the risk factors for, and the clinical characteristics of, acute kidney injury (AKI), and the causes of death 28 days after such injury, in very elderly men.

Methods

This was a retrospective cohort study using data from the Geriatric Department of the Chinese PLA General Hospital. A total of 3464 elderly patients (≥ 75 years) were enrolled from January 2007 to December 2015. All patients were followed for 28 days or until death after AKI.

Results

In total, 668 patients (39.0%) developed AKI, and 623 men were included for the final analysis. The median age was 87 years. The 28-day mortality rate was 25.7%. The AKI etiologies were infections (39.6%), hypovolemia (23.8%), cardiovascular events (15.9%), nephrotoxicity (12.0%), and surgery (7.1%). Multiple organ dysfunction syndrome (46.4%) and pulmonary infection (22.5%) were the principal causes of death. Multivariate analysis revealed that time for AKI to develop (HR = 0.865; 95% CI 0.799–0.937; P < 0.001), low mean arterial pressure (HR = 0.970; 95% CI 0.958–0.981; P < 0.001), low serum prealbumin (HR = 0.924; 95% CI 0.894–0.955; P < 0.001) level, oliguria (HR = 2.261; 95% CI 1.424–3.590; P = 0.001), mechanical ventilation (HR = 1.492; 95% CI 1.047–2.124; P = 0.027), blood urea nitrogen (HR = 1.037; 95% CI 1.025–1.049; P < 0.001) level, magnesium (HR = 2.512; 95% CI 1.243–5.076; P = 0.010) level, and more severe AKI stages (stage 2: HR = 3.709; 95% CI 1.926–7.141; P < 0.001 and stage 3: HR = 5.660; 95% CI 2.990–10.717; P < 0.001) were independent risk factors for 28-day mortality.

Conclusions

The incidence of AKI increases significantly as age advanced. Identification of risk factors might lead to more intensive monitoring and early prevention, and might improve AKI patients’ outcomes in the very elderly.

Analysis of the short-term prognosis and risk factors of elderly acute kidney injury patients in different KDIGO diagnostic windows

Background and aims

Follow-up observation was performed on elderly acute kidney injury (AKI) patients to analyze the short-term prognosis and risk factors of AKI patients in the 48-h diagnostic window and 7-day diagnostic window of the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines.

Methods

Inpatients aged ≥ 75 years in the geriatric ward of the People’s Liberation Army General Hospital, China, between January 2007 and December 2015 were selected as the research subjects. According to two diagnostic criteria in the KDIGO guidelines, patients were divided into a 48-h diagnostic window group and a 7-day diagnostic window group. The medical data of the patients were divided into the death group and the survival group for analysis based on the survival condition of the patients after 90 days of AKI. Factors that affected the 90-day survival of patients in the 48-h diagnostic window and 7-day diagnostic window groups were analyzed using multivariate Cox regression.

Results

During the follow-up period, a total of 652 patients were enrolled in this study. Among them, 623 cases were men, accounting for 95.6% of the patients. The median age was 87 (84–91) years. According to the KDIGO staging criteria, there were 308 (47.2%) cases in AKI stage 1, 164 (25.2%) cases in stage 2, and 180 (27.6%) cases in stage 3. Among the 652 patients, 334 (51.2%) were diagnosed with AKI based on the 48-h diagnostic criteria window, and 318 (48.8%) were diagnosed with AKI based on the baseline 7-day diagnostic criteria. The 90-day mortality of AKI patients was 42.5% in the 48-h diagnostic window and 24.2% in the 7-day diagnostic window. The multivariate Cox analysis results showed that low mean arterial pressure (HR = 0.966; P < 0.001), low serum prealbumin level (HR = 0.932; P < 0.001), infection (HR = 1.448; P = 0.047), mechanical ventilation (HR = 1.485; P = 0.038), high blood urea nitrogen (BUN) level (HR = 1.026; P < 0.001), blood magnesium level (HR = 2.560; P = 0.024), and more severe AKI stage (stage 2: HR = 3.482; P < 0.001 and stage 3: HR = 6.267; P < 0.001) were independent risk factors affecting the 90-day mortality of elderly patients in the 48-h diagnostic window, whereas low body mass index (HR = 0.851; P < 0.001), low mean arterial pressure (HR = 0.980; P = 0.036), low serum prealbumin level (HR = 0.950; P = 0.048), low serum albumin level (HR = 0.936; P = 0.015), high BUN level (HR = 1.046; P < 0.001), and more severe AKI stage (stage 2: HR = 4.249; P = 0.001 and stage 3: HR = 9.230; P < 0.001) were independent risk factors affecting the 90-day mortality of elderly patients in the 7-day diagnostic window.

Conclusions

The clinical differences of AKI and risk factors for 90-day mortality in elderly AKI individuals vary depending on the definition used. An increment of Scr ≥ 26.5 μmol/L in 48 h (48-h KDIGO window) alone predicts adverse clinical outcomes.

Acute kidney injury among nonagenarians in Jordan: a retrospective case-control study

Background

Improvements in health care systems worldwide have had notable effects on the life expectancy of older individuals. As a result, nonagenarians are emerging as a separate age group with distinct health care needs. The aim of this study was to evaluate the incidence of acute kidney injury (AKI), the mortality rates, and length of in-hospital stay among nonagenarians.

Methods

This is a retrospective case–control chart review of patients of age 90 years and above who were admitted to hospital. Patients with Stage I, II, or III chronic kidney disease were included in the analysis. The incidence of AKI was determined using data from the Acute Kidney Injury Network (AKIN) classification. Primary outcome variables included length of in-hospital stay and mortality rates.

Results

Of the 253 patients who were included in the study, the mean age was 91.5 years, 61 of the patients (25.9%) developed AKI, and 41 patients (66.1%) were in Stage I AKI according to AKIN criteria. Fifty-seven patients died during the study period; 57.9% of those patients had AKI. Hospital stay was longer in patients with AKI with a mean length of stay of 8.1 days. Congestive heart failure, cancer, and use of non-steroidal anti-inflammatory drugs were the main risk factors for AKI among those patients.

Conclusion

AKI is common in nonagenarians. It was associated with increased length of hospital stays and increased risk for mortality.

AKI in the very elderly patients without preexisting chronic kidney disease: a comparison of 48-hour window and 7-day window for diagnosing AKI using the KDIGO criteria

Objectives

To compare the differences between the Kidney Disease Improving Global Outcomes (KDIGO) criteria of the 48-hour window and the 7-day window in the diagnosis of acute kidney injury (AKI) in very elderly patients, as well as the relationship between the 48-hour and 7-day windows for diagnosis and 90-day mortality.

Patients and methods

We retrospectively enrolled very elderly patients (≥75 years old) from the geriatrics department of the Chinese PLA General Hospital between January 2007 and December 2015. AKI patients were divided into 48-hour and 7-day groups by their diagnosis criteria. AKI patients were divided into survivor and nonsurvivor groups by their outcomes within 90 days after diagnosis of AKI.

Results

In total, 652 patients were included in the final analysis. The median age of the cohort was 87 (84–91) years, the majority (623, 95.6%) of whom were male. Of the 652 AKI patients, 334 cases (51.2%) were diagnosed with AKI by the 48-hour window for diagnosis, while 318 cases (48.8%) were by the 7-day window for diagnosis. The 90-day mortality was 42.5% in patients with 48-hour window AKI and 24.2% in patients with 7-day window AKI. Kaplan–Meier curves showed that 90-day mortality was lower in the 7-day window AKI group than in the 48-hour window AKI group (log rank: P<0.001). Multivariate analysis by the Cox model revealed that 48-hour window for diagnosis hazard ratio (HR=1.818; 95% CI: 1.256–2.631; P=0.002) was associated with higher 90-day mortality.

Conclusion

The 90-day mortality was higher in 48-hour window AKI than in 7-day window AKI in very elderly patients. The 48-hour KDIGO window definition may be less sensitive. The 48-hour KDIGO window definition is significantly better correlated with subsequent mortality and is, therefore, still appropriate for clinical use. Finding early, sensitive biomarkers of kidney damage is a future direction of research.

Point prevalence & risk factor assessment for hospital-acquired infections in a tertiary care hospital in Pune, India

Background & objectives:

Hospital-acquired infections (HAIs) are a major challenge to patient safety and have serious public health implications by changing the quality of life of patients and sometimes causing disability or even death. The true burden of HAI remains unknown, particularly in developing countries. The objective of this study was to estimate point prevalence of HAI and study the associated risk factors in a tertiary care hospital in Pune, India.

Methods:

A series of four cross-sectional point prevalence surveys were carried out between March and August 2014. Data of each patient admitted were collected using a structured data entry form. Centers for Disease Control and Prevention guidelines were used to identify and diagnose patients with HAI.

Results:

Overall prevalence of HAI was 3.76 per cent. Surgical Intensive Care Unit (ICU) (25%), medical ICU (20%), burns ward (20%) and paediatric ward (12.17%) were identified to have significant association with HAI. Prolonged hospital stay [odds ratio (OR=2.81), mechanical ventilation (OR=18.57), use of urinary catheter (OR=7.89) and exposure to central air-conditioning (OR=8.59) had higher odds of acquiring HAI (P<0.05).

Interpretation & conclusions:

HAI prevalence showed a progressive reduction over successive rounds of survey. Conscious effort needs to be taken by all concerned to reduce the duration of hospital stay. Use of medical devices should be minimized and used judiciously. Healthcare infection control should be a priority of every healthcare provider. Such surveys should be done in different healthcare settings to plan a response to reducing HAI.

Group analysis identifies differentially elevated biomarkers with distinct outcomes for advanced acute kidney injury in cardiac surgery

AIM

To investigate early postoperative biomarkers for risk discrimination of advanced acute kidney injury (AKI).

MATERIALS & METHODS

Postoperative plasma biomarkers including NGAL, h-FABP, CK-MB, hsTNT, NT-proBNP, IL-6, IL-10 and VEGF were analyzed using group-based method among 426 patients with AKI after cardiac surgery.

RESULTS

Six patient groups with distinct biomarker patterns were identified. Individual biomarker displayed significant difference across the groups. The groups showed better discrimination for advanced AKI than any single biomarker either with or without adjusting for clinical variables. Average concentration of a single biomarker within each group, mortality and risk of a secondary outcome all demonstrated an approximately U-shaped relationship with proportion of advanced AKI within each group.

CONCLUSION

The group-based analysis revealed that the order of the patient groups with an increasing likelihood of advanced AKI had a nonlinear relationship with average concentration of an individual biomarker, mortality and risk of other outcomes.

Acute Kidney Injury in Elderly Population: A Prospective Observational Study

BACKGROUND/AIMS

Acute kidney injury (AKI) has been reported as a recognized condition among the elderly population; however, its clinical epidemiology is still poorly evaluated. We propose to evaluate the epidemiological profile of AKI in hospitalized elderly patients and the variables associated with renal replacement therapy (RRT) dependency at discharge after an episode of AKI.

METHODS

This prospective observational study enrolled 286 elderly patients (aged ≥60 years), who had a diagnosis of AKI and were admitted to a tertiary care hospital. Clinical data were analyzed, which included RRT indication, referral time to nephrologist support, standby period in the emergency care units (ECU) before a transfer to an intensive care unit, staff criteria used to indicate palliative care, and the incidence of patients who stayed on chronic dialysis for at least 6 months after discharge.

RESULTS

The overall hospital mortality was 56.3%. Acute Kidney Injury Network (AKIN) 3 at the time of admission was significantly higher in patients who underwent RRT. Intrinsic AKI (p < 0.001), AKIN 3 (p < 0.001), RRT (p < 0.001), and increased length of stay in ECUs (p = 0.01) all had a significantly higher prevalence among non-survivors. On multivariate analysis, however, only renal aetiology (intrinsic AKI) was independently associated with mortality (OR 2.88; 95% CI [1.29-6.13]). Approximately 85% of the discharged patients (n = 125) were dialysis free and 36.4% of them who had a previous diagnosis of chronic kidney disease (CKD) upon admission had a worse renal function. Age, AKIN 3, RRT, prior history of CKD, diabetes mellitus, and the number of hemodialysis sessions showed to have an impact on dialysis dependence. Furthermore, 24 of 161 patients who had a dialysis indication were placed on palliative care.

CONCLUSIONS

The severity of AKI and the need for RRT were risk factors for mortality and dependence on dialysis. Antecedents of CKD seem to be associated with a poor renal outcome following an AKI episode. Starting RRT had an impact on the clinical decision to enroll these patients into palliative care.

A nationwide survey of healthcare personnel's attitude, knowledge, and interest toward renal supportive care in Taiwan

BACKGROUND

Renal supportive care (RSC) is an important option for elderly individuals reaching end-stage renal disease; however, the frequency of RSC practice is very low among Asian countries. We evaluated the attitude, the knowledge, and the preference for specific topics concerning RSC among participants who worked in different medical professions in Taiwan.

METHODS

A cross-sectional questionnaire-based survey was employed. Healthcare personnel (N = 598) who were involved in caring for end-stage renal disease patients at more than 40 facilities in Taiwan participated in this study. Participants were asked about their motivation for learning about RSC, the topics of RSC they were most and least interested in, their willingness to provide RSC, and to rate their knowledge and perceived importance of different topics.

RESULTS

The vast majority of respondents (81.9%) were self-motivated about RSC, among whom nephrologists (96.8%) and care facilitators (administrators/volunteers) (45%) exhibited the highest and the least motivation, respectively (p < 0.01). Overall, respondents indicated that they had adequate knowledge about the five pre-specified RSC topics between medical professions (p = 0.04). Medical professions and institutional size exerted significant influence on the willingness to provide RSC.

CONCLUSIONS

Our results facilitate the understanding of the knowledge and attitude toward different RSC topics among varied medical professions, and can guide the design of RSC education content for healthcare personnel.

The impact of transient and persistent acute kidney injury on short-term outcomes in very elderly patients

Objectives

Acute kidney injury (AKI) is a common complication in elderly patients and is associated with poor outcomes. However, the effect of transient and persistent geriatric AKI on short-term mortality is unclear. We aimed to study the incidence, clinical characteristics, and prognostic impact of transient and persistent AKI in such patients.

Methods

We retrospectively enrolled very elderly patients (≥75 years) from the geriatric department of the Chinese PLA General Hospital between 2007 and 2015. AKI was defined according to the 2012 Kidney Disease: Improving Global Outcomes criteria. AKI patients were divided into transient or persistent AKI groups based on their renal function at 3 days post-AKI. Renal function recovery was defined as a return to the baseline serum creatinine (SCr) levels.

Results

In total, 668 geriatric patients (39.0%) experienced AKI, and 652 satisfied the inclusion criteria. Of these 652 patients, 270 (41.4%) had transient AKI, and 382 (58.6%) had persistent AKI. The 90-day mortality was 5.9% in patients with transient AKI and 53.1% in patients with persistent AKI. Multivariate analysis revealed that low hemoglobin levels (odds ratio [OR] =0.989; 95% CI: 0.980–0.999; P=0.025), low mean aortic pressure (OR =0.985; 95% CI: 0.971–1.000; P=0.043), peak SCr (OR =1.020; 95% CI: 1.015–1.026; P<0.001) levels, high uric acid (OR =1.002; 95% CI: 1.000–1.003; P=0.040) levels, high blood urea nitrogen (OR =1.028; 95% CI: 1.000–1.056; P=0.047) levels, and mechanical ventilation requirements (OR =1.610; 95% CI: 1.012–2.562; P=0.044) were associated with persistent AKI. Persistent AKI (hazard ratio [HR] =5.741; 95% CI: 3.356–9.822; P<0.001) and more severe AKI stages (stage 2: HR =3.363; 95% CI: 1.973–5.732; P<0.001 and stage 3: HR =4.741; 95% CI: 2.807–8.008; P<0.001) were associated with 90-day mortality.

Conclusion

AKI is common in very elderly patients, with transient renal injury representing close to 42% of all cases of geriatric AKI. More frequent SCr measurements may be helpful for the early diagnosis of transient geriatric AKI. Persistent geriatric AKI is independently associated with a significantly higher risk of 90-day mortality.

Thrombocytopenia on the first day of emergency department visit predicts higher risk of acute kidney injury among elderly patients

Background

Few studies have addressed risk factors for acute kidney injury (AKI) in geriatric patients. We investigated whether thrombocytopenia was a risk factor for AKI in geriatric patients with medical illnesses.

Methods

A prospective cohort study was conducted, by recruiting elderly (≥65 years) patients who visited the emergency department (ED) for medical illnesses during 2014. They all received hemogram for platelet count determination, and were stratified according to the presence of thrombocytopenia (platelets, <150 K/μL) during their initial ED evaluation. They were prospectively followed up during their ED stay. We analyzed the relationship between the diagnosis of thrombocytopenia and subsequent AKI after ED stay, using Cox proportional hazard modeling, with platelet count as a continuous variable or thrombocytopenia as a categorical variable.

Results

Of 136 elderly patients (mean age of 80.7 ± 8.2 years, 40% with chronic kidney disease, and 39% with diabetes) enrolled, 22.8% presented with thrombocytopenia, without differences in baseline renal function. After a mean ED stay of 4.4 ± 2.1 days, 41.9% developed AKI (52.6% Kidney Disease Improving Global Outcomes [KDIGO] grade 1, 24.6% grade 2, and 22.8% grade 3). Patients with higher AKI severity had stepwise lower platelet counts compared to those without AKI. The Cox proportional hazard model revealed that lower platelet count as a continuous variable (hazard ratio [HR] 0.984, 95% confidence interval [CI] 0.975–0.994) and as a categorical variable (presence of thrombocytopenia) (HR 1.86, 95% CI 1.06–3.27) increased the risk of AKI. The sensitivity analyses accounting for nephrotoxic medications use, including non-steroidal anti-inflammatory drugs, vancomycin, and contrast, yielded similar results.

Discussion

Thrombocytopenia is common among ED-visiting elderly, and the potential relationship between platelet counts and the risk of AKI suggests the utility of checking hemogram for those at-risk ofdeveloping adverse renal events.

Conclusion

Thrombocytopenia on initial presentation might indicate an increased risk of AKI among elderly patients with medical illnesses.

Dipstick proteinuria level is significantly associated with pre-morbid and in-hospital functional status among hospitalized older adults: a preliminary study

Although chronic kidney disease (CKD) is associated with functional decline, whether proteinuria alone is associated with functional statuses over the course of acute illnesses independent of CKD is unclear. During 2014, we prospectively enrolled non-dialysis patients aged ≥65 years, and all participants underwent spot dipstick urinalysis on admission, divided into 3 groups according to the results (none, trace to 1 + , and 2 + or higher); functional status was evaluated using the pre-morbid and in-hospital Barthel index (BI) scores. Of 136 community-dwelling elderly patients enrolled (age 80.7 ± 8.2 years, with 19% having CKD), 17%, 57%, and 26% had no, trace to 1 + , or 2 + or higher proteinuria. Overall pre-morbid, on-admission, and on-discharge BI scores were 50.4 ± 41.9, 38.6 ± 31.8, and 38.7 ± 35.3, respectively with significant negative correlations with proteinuric severity on admission. Finally, multivariate linear stepwise regression analysis with backward variable selection found that dipstick proteinuric severity was significantly associated with pre-morbid, on-admission, and on-dischrage BI scores (p = 0.048, <0.01, and <0.01, respectively), independent of diabetes and CKD. This relationship between dipstick proteinuric levels and functional status of hospitalized elderly suggests an under-recognized association. Prospective evaluation of long-term outcome is needed.

Acute kidney injury in elderly intensive care patients from a developing country: clinical features and outcome

AIM

The elderly are at high risk of acute kidney injury (AKI) because of structural and functional degeneration over time and with the aging of the population, the demand for intensive care unit (ICU) admission for older patients has risen recently. However, data from developing countries are scarce. This study aimed to describe the incidence of AKI in elderly patients admitted to ICU from a developing country, to determine the most frequent etiologies for renal impairment and identify its risk factors and outcome.

METHODS

All patients admitted to the ICU at a Brazilian teaching hospital for 12 consecutive months were followed prospectively from the time of admission until ICU discharge. Elderly was defined as aged >60 years and AKI was defined according to the Kidney Disease Improving Global Outcomes 2012 criteria. Multivariable logistic regression was used to adjust confounding and selection bias.

RESULTS

Two hundred elderly patients were included in the study. AKI incidence was 27% and the main etiology was sepsis (48.1%). At logistic regression, baseline creatinine (odds ratio [OR]=5.17, p<0.0001), Acute Physiology and Chronic Health Evaluation (APACHE) II (OR=1.20, p<0.0001), sepsis (OR=2.96, p<0.0001), and longer ICU stay (OR=1.68, p<0.0001) were associated with AKI in elderly patients. Baseline creatinine (OR=1.97, p=0.018), APACHE II (OR=1.29, p<0.0001), sepsis (OR=1.87, p<0.0001), and AKI severity (OR=2.57, p=0.027) were identified as predictors of death.

CONCLUSION

AKI was frequent in elderly patients admitted to ICU from a developing country, and it was identified as a risk factor for death. Sepsis was an important risk factor for both AKI and mortality, similar to developed countries and in younger populations.

Outcomes of renal function in elderly patients with acute kidney injury

OBJECTIVES

The aim of this study was to explore the prognostic impact of clinical factors on the short-term outcomes of renal function (RF) in very elderly patients with acute kidney injury (AKI).

PATIENTS AND METHODS

We carried out a retrospective cohort study of only very elderly patients who developed AKI at the geriatric department of a tertiary medical center during the period 2007-2015. All patients with AKI were followed up for 90 days after AKI diagnosis or until death. Survivors were divided into recovery and nonrecovery groups according to their RF 90 days post-AKI. RF recovery was defined as an estimated glomerular filtration rate (eGFR) of ≥60 mL/min/1.73 m².

RESULTS

In total, 668 patients (39.0%) developed AKI, and 652 patients were included in the final analysis. The median age of this population was 87 years, with 95.6% being male. The 90-day mortality rate was 33.6%. Of the 433 survivors, 316 (73.0%) recovered to their baseline eGFR. Body mass index (BMI), baseline eGFR, low mean aortic pressure (MAP), low prealbumin level, hypoalbuminemia, oliguria, blood urea nitrogen (BUN) level, and more severe AKI stage were independent risk factors associated with nonrenal recovery or death. AKI etiology, evaluated by peak serum creatinine (SCr) level and the requirement for dialysis, was not associated with nonrenal recovery.

CONCLUSION

Risk factors for the poor outcomes of RF in very elderly patients with AKI were BMI, baseline eGFR, low MAP, low prealbumin level, hypoalbuminemia, oliguria, BUN level, and more severe AKI stage. Identifying risk factors may help to improve patient outcomes.

Earlier nephrology consultation may not be associated with improved short-term survival of acute kidney injury in very elderly men

Objectives

A delayed nephrology consultation (NC) may be associated with a poor prognosis in acute kidney injury (AKI) patients. The aims of this study were to compare the clinical and laboratory characteristics of elderly AKI patients evaluated and not evaluated by nephrologists and to generate a hypothesis regarding the relationship between the timing of the NC and 90-day outcomes.

Methods

From 2007 to 2015, this study explored associations among the presence and timing of NC with the non-intensive care unit stay and 90-day mortality in elderly AKI patients at the Geriatric Department of the Chinese People’s Liberation Army General Hospital. Early NC and delayed NC were defined as NCs performed before and 2 days after the day of AKI diagnosis, respectively. Multivariable logistic regression was used to adjust for confounding and selection bias.

Results

In total, 623 patients were included for the final analysis, of whom 162 (26%) were evaluated by nephrologists. The 90-day mortality rate was 33.2%, and dialysis was required in 1.4% of patients (9/623). Multivariable analysis showed that a higher prevalence of preexisting chronic obstructive pulmonary disease, AKI diagnosis time, peak serum creatinine level, blood urea nitrogen level, AKI stage, and mortality was associated with the NC. The NC was delayed (>48 h) in 59 patients (36.4%) (median time to consultation, 4 days). The median AKI diagnosis time, presence of oliguria, uric acid level, and a more severe AKI stage were associated with delayed consultation. Moreover, delayed consultation presented a similar 90-day mortality rate to that of an early NC (50.8% vs 44.7%, respectively, P=0.448).

Conclusion

In very elderly AKI patients, those evaluated by nephrologists have more severe AKI and a higher mortality rate than those not evaluated by nephrologists. An earlier NC may not be associated with improved 90-day survival.

Acute kidney injury as a risk factor for diagnostic discrepancy among geriatric patients: a pilot study

Diagnostic discrepancy, defined as different admission and discharge diagnoses, could be a potential source of diagnostic error. We evaluated whether acute kidney injury (AKI) in the elderly affected their risk for diagnostic discrepancy. Patients aged ≥60 years from the general medical wards were prospectively enrolled and divided according to AKI status upon admission, using the Kidney Disease Improving Global Outcomes (KDIGO) criteria. We compared their discharge and admission diagnoses and identified patients with a diagnostic discrepancy, using multiple logistic regression analysis to evaluate the relationship between initial AKI and the presence of a diagnostic discrepancy. A total of 188 participants (mean age, 77.9 years) were recruited. Regression analysis showed that initial AKI on admission was associated with a higher risk of diagnostic discrepancy upon discharge (odds ratio [OR] 3.3; p < 0.01). In contrast, higher AKI severity was also associated with an increased risk of diagnostic discrepancy (for KDIGO grade 1, 2, and 3; OR 2.92, 3.91, and 4.32; p = 0.04, 0.03, and 0.02, respectively), suggesting that initial AKI upon admission could be an important risk factor for diagnostic discrepancy. Consequently, reducing geriatric AKI might have the potential to reduce diagnostic discrepancy among these patients.

Geriatric syndromes are potential determinants of the medication adherence status in prevalent dialysis patients

Background. Geriatric syndromes (GS) exhibit high prevalence in patients with end-stage renal disease (ESRD) under chronic dialysis irrespective of age. We sought to determine whether GS influences medication adherence in ESRD patients.

Methods. A prospective cohort of chronic dialysis patients was assembled. The presence of GS components, including frailty/prefrailty, polypharmacy, and malnutrition, were ascertained through a validated questionnaire, electronic records and chart abstraction, and laboratory tests. The severity of medication non-adherence was defined using the eight-item Morisky Medication Adherence Scale (MMAS). Multiple logistic regression analysis was performed targeting MMAS results and incorporating relevant clinical features and GS.

Results. The prevalence of frailty/pre-frailty, polypharmacy, and hypoalbuminemia/ malnutrition among the enrolled participants was 66.7%, 94%, and 14%, respectively. The average MMAS scores in these dialysis patients were 2 ± 1.7 (range, 0–6), with only 15.7% exhibiting high medication adherence. Multiple regression analyses showed that the absence of frailty/pre-frailty (P = 0.01) were significantly associated with poorer medication adherence, while the presence of polypharmacy (P = 0.02) and lower serum albumin, a potential sign of malnutrition (P = 0.03), were associated with poor adherence in another model.

Conclusion. This study is among the very few reports addressing GS and medication adherence, especially in ESRD patients. Interventions targeting frailty, polypharmacy, and malnutrition might potentially improve the medication non-adherence and symptom control in these pill-burdened patients.

Establishment of a renal supportive care program: Experience from a rural community hospital in Taiwan

Renal supportive care (RSC) denotes a care program dedicated for patients with acute, chronic renal failure, and end-stage renal disease (ESRD), aiming to offer maximal symptom relief and optimize patients' quality of life. The uncertainty of prognosis for patients with chronic kidney disease and ESRD, the sociocultural issues inherent to the Taiwanese society, and the void of structured and practical RSC pathway, contributes to the underrecognition and poor utilization of RSC. Taiwanese patients rarely receive information regarding RSC as part of a standardized care and are not commonly offered this option. In National Taiwan University Hospital Jinshan branch, we started a RSC subprogram, supported by the community-based palliative/hospice care main program. We focused on understanding the need and providing the choice of RSC to suitable candidates. A three-step and four-phase protocol was designed and implemented to identify appropriate patients and to enhance the applicability of the RSC. We harnessed family visit and home-based family meeting as a vehicle to understand the patients' preferences, to discover what ESRD patients and their family value most, and to introduce the option of RSC. In the current review, we described our pilot experience of establishing a RSC program in Taiwan, and discuss its potential advantage.

Interplay between Superoxide Dismutase, Glutathione Peroxidase, and Peroxisome Proliferator Activated Receptor Gamma Polymorphisms on the Risk of End-Stage Renal Disease among Han Chinese Patients

Background. Single nucleotide polymorphisms (SNPs) of antioxidants, including superoxide dismutase 2 (SOD2) and glutathione peroxidase 1 (GPX1), play an important role in the risk for cancer and metabolic disorders. However, little is known regarding the effect of antioxidant SNPs on renal events. Methods. We prospectively enrolled multicenter patients with end-stage renal disease (ESRD) and those without chronic kidney disease (CKD) of Han Chinese origin, with SOD2 (Val16Ala), GPX1 (Pro197Leu), and PPAR-γ (Pro12Ala, C161T) genotyped. Multiple regression analyses were conducted to evaluate the significant risk determinants for ESRD. Results. Compared to ESRD patients, non-CKD subjects were more likely to have T allele at SOD2 Val16Ala (p = 0.036) and CC genotype at PPAR-γ Pro12Ala (p = 0.028). Regression analysis showed that TT genotype of SOD2 Val16Ala conferred significantly lower ESRD risk among patients without diabetes (odds ratio 0.699; p = 0.018). GPX1 SNP alone did not alter the risk. We detected significant interactions between SNPs including PPAR-γ Pro12Ala, C161T, and GPX1 regarding the risk of ESRD. Conclusion. This is the first and largest study on the association between adverse renal outcomes and antioxidant SNPs among Han Chinese population. Determination of SOD2 and PPAR-γ SNPs status might assist in ESRD risk estimation.