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Background: Acute kidney injury (AKI), particularly community-acquired AKI (CA-AKI), is a major health concern globally. The International Society of Nephrology's "0 by 25" initiative to reduce preventable deaths from AKI to zero by 2025 is not achievable in low and middle income countries, such as India, possibly due to a lack of data and measures to tackle this urgent public health issue. In India, CA-AKI predisposes younger patients to hospitalization, morbidity, and mortality. This is the first multicenter, prospective, cohort study investigating CA-AKI and its consequences in India. Methods: This study included data from patients with CA-AKI (>12 years of age) housed in the Indian Society of Nephrology-AKI registry, involving 9 participating tertiary care centers in India, for the period between November 2016 and October 2019. The etiological spectrum and renal and patient outcomes of CA-AKI at the index visit and at 1-month and 3-month follow-ups were analyzed. The impact of socioeconomic status (SES) on outcomes was also analyzed. Findings: Data from 3711 patients (mean [±SD] age 44.7 ± 16.5 years; 66.6% male) were analyzed. The most common comorbidities included hypertension (21.1%) and diabetes (19.1%). AKI occurred in medical, surgical, and obstetrical settings in 86.7%, 7.3%, and 6%, respectively. The most common causes of AKI were associated with sepsis (34.7%) and tropical fever (9.8%). Mortality at the index admission was 10.8%. Complete recovery (CR), partial recovery (PR), and dialysis dependency among survivors at the time of discharge were 22.1%, 57.7%, and 9.4%, respectively. Overall, at 3 months of follow-up, mortality rate, CR, PR, and dialysis dependency rates were 11.4%, 72.2%, 7.2%, and 1%, respectively. Multivariate analysis revealed that age >65 years, alcoholism, anuria, hypotension at presentation, thrombocytopenia, vasopressor use, transaminitis, and low SES were associated with mortality at the index admission. Interpretation: Sepsis and tropical fever were the most common causes of CA-AKI. Presentation of CA-AKI to tertiary care units was associated with high mortality, and a significant number of patients progressed to CKD. Individuals with a low SES had increased risk of mortality and require immediate attention and intervention. Funding: This study was funded by the Indian Society of Nephrology.
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Introduction: Acute kidney injury (AKI) has been identified as one of the most common and significant problems in hospitalized patients with COVID-19. However, studies examining the relationship between COVID-19 and AKI in low- and low-middle income countries (LLMIC) are lacking. Given that AKI is known to carry a higher mortality rate in these countries, it is important to understand differences in this population. Methods: This prospective, observational study examines the AKI incidence and characteristics of 32,210 patients with COVID-19 from 49 countries across all income levels who were admitted to an intensive care unit during their hospital stay. Results: Among patients with COVID-19 admitted to the intensive care unit, AKI incidence was highest in patients in LLMIC, followed by patients in upper-middle income countries (UMIC) and high-income countries (HIC) (53%, 38%, and 30%, respectively), whereas dialysis rates were lowest among patients with AKI from LLMIC and highest among those from HIC (27% vs. 45%). Patients with AKI in LLMIC had the largest proportion of community-acquired AKI (CA-AKI) and highest rate of in-hospital death (79% vs. 54% in HIC and 66% in UMIC). The association between AKI, being from LLMIC and in-hospital death persisted even after adjusting for disease severity. Conclusions: AKI is a particularly devastating complication of COVID-19 among patients from poorer nations where the gaps in accessibility and quality of healthcare delivery have a major impact on patient outcomes.
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ABSTRACT Aim: This study aims to investigate the 90-day and 1-year mortality and the affecting factors of mortality in patients who have started dialysis treatment for the first time. Methods: Patients who started intermittent hemodialysis for the first time in the hemodialysis unit were evaluated. Patients who received hemodialysis treatment for any reason before, patients who underwent hemodialysis due to methyl alcohol, lithium, or mushroom poisoning, and patients who started dialysis in the intensive care unit were excluded from the study. The clinical and laboratory data were obtained from the patients, at admission time, from the electronic data record system and patients' charts.Univariate and multivariate logistic regression analyses were used to identify predictive factors for 90-days and 1-year mortality-dependent variables. Results: 229 patients were included in this study. 133(58.8%) of the patients were male, 96(41.9%) were female, and the median age was 64 years. While 166 patients had pre-existing renal disease, 63 patients had no prior renal disease. The number of patients who died within 90 days, which refers to short-term mortality, was 49 (21.4%). 73 patients (31.9%) died in one year (long-term mortality). At the end of one year, 38% of the whole group of patients continued receiving renal replacement therapy, while 10% of all CKD patients had not a requirement of dialysis, and only 9.17% of the patients had renal recovery. In the multivariate analysis established for short-term mortality, the following parameters showed significant predictive features: ejection fraction (OR = 3.80, 95% CI: 1.05-13.72, p=0.042), CRP (OR = 0.20, 95% CI: 0.04-0.92, p= 0.039), age (OR = 0.21, 95% CI: 0.05-0.91, p= 0.038), and diastolic blood pressure (OR = 0.08, 95% CI: 0.02-0.28, p< 0.001). The multivariate analysis for long-term mortality indicated that systolic blood pressure (OR = 0.26, 95% CI: 0.08-0.82, p= 0.022), diastolic blood pressure (OR = 0.21, 95% CI: 0.68-0.66, p= 0.008), and potassium (OR = 0.27, 95% CI: 0.10-0.70, p= 0.007) were independent predictive markers. Conclusion: Patients with CKD who have not yet started hemodialysis treatment should be followed closely, as hypervolemia, hypotension, and hemodynamic instability increase the risk of death, according to our study. In addition, we recommend that clinical conditions such as hemodynamic instability or sepsis, which may cause hypotension in AKI-D, should be addressed as soon as possible, and optimizing the fluid-electrolyte balance carefully in those patients we determined to be at risk.
RESUMEN Objetivo: Este estudio tiene como objetivo investigar la mortalidad a 90 días y 1 año y los factores que afectan la mortalidad en pacientes que han iniciado tratamiento de diálisis por primera vez. Métodos: Se evaluaron pacientes que iniciaron hemodiálisis intermitente por primera vez en la unidad de hemodiálisis. Se excluyeron del estudio los pacientes que recibieron tratamiento de hemodiálisis por cualquier motivo anteriormente, los pacientes que se sometieron a hemodiálisis por intoxicación con alcohol metílico, litio o hongos y los pacientes que iniciaron diálisis en la unidad de cuidados intensivos. Los datos clínicos y de laboratorio se obtuvieron de los pacientes al momento del ingreso, del sistema de registro electrónico de datos y de las historias clínicas de los pacientes. Se utilizaron análisis de regresión logística univariados y multivariados para identificar factores predictivos para variables dependientes de mortalidad a 90 días y 1 año. Resultados: 229 pacientes fueron incluidos en este estudio. 133 (58,8%) de los pacientes eran hombres, 96 (41,9%) eran mujeres y la mediana de edad fue de 64 años. Mientras que 166 pacientes tenían enfermedad renal preexistente, 63 pacientes no tenían enfermedad renal previa. El número de pacientes que fallecieron dentro de los 90 días, que se refiere a la mortalidad a corto plazo, fue de 49 (21,4%). 73 pacientes (31,9%) fallecieron en un año (mortalidad a largo plazo). Al cabo de un año, el 38% de todo el grupo de pacientes continuaba recibiendo terapia de reemplazo renal, mientras que el 10% de todos los pacientes con ERC no requerían diálisis y solo el 9,17% de los pacientes presentaban recuperación renal. En el análisis multivariante establecido para la mortalidad a corto plazo, los siguientes parámetros mostraron características predictivas significativas: fracción de eyección (OR = 3,80, IC 95%: 1,05-13,72, p=0,042), PCR (OR = 0,20, IC 95%: 0,04 -0,92, p= 0,039), edad (OR = 0,21, IC 95%: 0,05-0,91, p= 0,038) y presión arterial diastólica (OR = 0,08, IC 95%: 0,02-0,28, p< 0,001). El análisis multivariado para la mortalidad a largo plazo indicó que la presión arterial sistólica (OR = 0,26, IC 95%: 0,08-0,82, p= 0,022), la presión arterial diastólica (OR = 0,21, IC 95%: 0,68-0,66, p= 0,008), y el potasio (OR = 0,27, IC 95%: 0,10-0,70, p= 0,007) fueron marcadores predictivos independientes. Conclusión: Los pacientes con ERC que aún no han iniciado tratamiento con hemodiálisis deben ser seguidos de cerca, ya que la hipervolemia, la hipotensión y la inestabilidad hemodinámica aumentan el riesgo de muerte, según nuestro estudio. Además, recomendamos que las condiciones clínicas como la inestabilidad hemodinámica o la sepsis, que pueden causar hipotensión en AKI-D, deben abordarse lo antes posible y optimizar cuidadosamente el balance de líquidos y electrolitos en aquellos pacientes que determinamos que están en riesgo.
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Background: In hospitalized patients with COVID-19, acute kidney injury (AKI) is associated with higher mortality, but data are lacking on healthcare resource utilization (HRU) and costs related to AKI, community-acquired AKI (CA-AKI), and hospital-acquired AKI (HA-AKI). Objectives: To quantify the burden of AKI, CA-AKI, and HA-AKI among inpatients with COVID-19. Methods: This retrospective cohort study included inpatients with COVID-19 discharged from US hospitals in the Premier PINC AI™ Healthcare Database April 1-October 31, 2020, categorized as AKI, CA-AKI, HA-AKI, or no AKI by ICD-10-CM diagnosis codes. Outcomes were assessed during index (initial) hospitalization and 30 days postdischarge. Results: Among 208 583 COVID-19 inpatients, 30%, 25%, and 5% had AKI, CA-AKI, and HA-AKI, of whom 10%, 7%, and 23% received dialysis, respectively. Excess mortality, HRU, and costs were greater for HA-AKI than CA-AKI. In adjusted models, for patients with AKI vs no AKI and HA-AKI vs CA-AKI, odds ratios (ORs) (95% CI) were 3.70 (3.61-3.79) and 4.11 (3.92-4.31) for intensive care unit use and 3.52 (3.41-3.63) and 2.64 (2.52-2.78) for in-hospital mortality; mean length of stay (LOS) differences and LOS ratios (95% CI) were 1.8 days and 1.24 (1.23-1.25) and 5.1 days and 1.57 (1.54-1.59); and mean cost differences and cost ratios were $7163 and 1.35 (1.34-1.36) and $19â¯127 and 1.78 (1.75-1.81) (all P < .001). During the 30 days postdischarge, readmission LOS was ≥6% longer for AKI vs no AKI and HA-AKI vs CA-AKI; outpatient costs were ≥41% higher for HA-AKI vs CA-AKI or no AKI. Only 30-day new dialysis (among patients without index hospitalization dialysis) had similar odds for HA-AKI vs CA-AKI (2.37-2.8 times higher for AKI, HA-AKI, or CA-AKI vs no AKI). Discussion: Among inpatients with COVID-19, HA-AKI had higher excess mortality, HRU, and costs than CA-AKI. Other studies suggest that interventions to prevent HA-AKI could decrease excess morbidity, HRU, and costs among inpatients with COVID-19. Conclusions: In adjusted models among COVID-19 inpatients, AKI, especially HA-AKI, was associated with significantly higher mortality, HRU, and costs during index admission, and higher dialysis and longer readmission LOS during the 30 days postdischarge. These findings support implementation of interventions to prevent HA-AKI in COVID-19 patients.
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ABSTRACT BACKGROUND: Coronavirus disease 19 (COVID-19) is a multisystemic disease with high incidence of acute kidney injury (AKI). OBJECTIVE: To describe the clinical characteristics and factors associated with AKI among patients hospitalized with COVID-19. DESIGN AND SETTING: Retrospective cohort conducted at Hospital Civil de Culiacan, Mexico. METHODS: We included 307 patients hospitalized due to COVID-19. AKI was defined and staged based on serum creatinine levels in accordance with the criteria of the Acute Kidney Injury Network (AKIN). Multivariate logistic regression analysis was used to determine factors associated with AKI. RESULTS: The patients' age was 56 ± 15 years (64.5% male). The incidence of AKI was 33.6% (n = 103). Overall, 53.4% of patients had community-acquired AKI, and 46.6% had hospital-acquired AKI. Additionally, 15.5% of them presented AKIN stage 1; 34% had AKIN stage 2; and 50.5% had AKIN stage 3. Hemodialysis was required for 10.7% of the patients. The factors associated with AKI were chronic kidney disease (odds ratio, OR: 10.8; P = 0.04), use of norepinephrine (OR: 7.3; P = 0.002), diabetes mellitus (OR: 2.9; P = 0.03), C-reactive protein level (OR: 1.005; P = 0.01) and COVID-19 severity index based on chest tomography (OR: 1.09; statistical trend, P = 0.07). Hospital stay (11 ± 7 days; P < 0.001) and mortality (83.5 versus 31.4%; P < 0.05) were greater among patients with AKI. CONCLUSION: AKI was a frequent and serious complication in our cohort of patients hospitalized with COVID-19, which was associated with high mortality and long hospital stay.
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RATIONALE & OBJECTIVE: The KDIGO (Kidney Disease: Improving Global Outcomes) definition of acute kidney injury (AKI) is frequently used in studies to examine the epidemiology of AKI. This definition is variably interpreted and applied to routinely collected health care data. The aim of this study was to examine this variation and to achieve consensus in how AKI should be defined for research using routinely collected health care data. SOURCES OF EVIDENCE AND STUDY DESIGN: Scoping review via searching Medline and EMBASE for studies using health care data to examine AKI by using the KDIGO creatinine-based definition. An international panel of experts formed to participate in a modified Delphi process to attempt to generate consensus about how AKI should be defined when using routinely collected laboratory data. CHARTING METHODS AND ANALYTICAL APPROACH: The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) extension for scoping reviews was followed. For the Delphi process, 2 rounds of questions were distributed via internet-based questionnaires to all participants with a prespecified cutoff of 75% agreement used to define consensus. RESULTS: The scoping review found 174 studies that met the inclusion criteria. The KDIGO definition was inconsistently applied, and the methods for application were poorly described. We found 58 (33%) of papers did not provide a definition of how the baseline creatinine value was determined, and only 34 (20%) defined recovery of kidney function. Of 55 invitees to the Delphi process, 35 respondents participated in round 1, and 25 participated in round 2. Some consensus was achieved in areas related to how to define the baseline creatinine value, which patients should be excluded from analysis of routinely collected laboratory data, and how persistent chronic kidney disease or nonrecovery of AKI should be defined. LIMITATIONS: The Delphi panel members predominantly came from the United Kingdom, the United States, and Canada, and there were low response rates for some questions in round 1. CONCLUSIONS: The current methods for defining AKI using routinely collected data are inconsistent and poorly described in the available literature. Experts could not achieve consensus for many aspects of defining AKI and describing its sequelae. The KDIGO guidelines should be extended to include a standardized definition for how AKI should be defined when using routinely collected data.
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Acute Kidney Injury , Renal Insufficiency, Chronic , Acute Kidney Injury/diagnosis , Acute Kidney Injury/epidemiology , Consensus , Creatinine , Expert Testimony , HumansABSTRACT
INTRODUCTION: Pattern of acute kidney injury (AKI) differs vastly from region to region in India. Moreover, prospective data on community-acquired AKI (CAAKI) using the KDIGO criteria for AKI are limited. Our objective was to study the etiology, clinical characteristics, and short-term outcome of CAAKI in adults. METHODS: This was a prospective observational study in the medical wards of a tertiary care hospital. Patients fulfilling the 2012 KDIGO AKI criteria of community acquired acute kidney injury (CAAKI) were included. Patients who developed AKI 48 hours after admission, those hospitalized >48 hours elsewhere, and patients with chronic kidney disease were excluded. The study did not include obstetric or surgical cases of AKI. Serum creatinine and urine output was monitored. Daily progress, in particular development of hypotension, oliguria, acute respiratory distress syndrome, sepsis, and renal replacement therapy, was noted. RESULTS: Of 186 CAAKI patients (mean age, 46.13 ± 15.2 years), 86/186 was infective etiology, 93/186 was non-infective etiology, 7/186 was due to intrinsic renal pathology. Pyelonephritis 33/186 (17.7%) was the most common infective etiology, and snakebite in 49 (26.3%) was the most common non-infective etiology; 28/186 (15.1%) died. On logistic regression, hypotension, mechanical ventilation, thrombocytopenia, and anuria were associated with mortality. CONCLUSIONS: Acute pyelonephritis and snakebite-related AKI emerged as the two most common medical causes of CAAKI in our region. Such environmental and infectious causes that largely are preventable causes of AKI are also associated with significant morbidity and mortality.
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BACKGROUND: Almost two-thirds of patients with acute kidney injury (AKI) damage their kidneys whilst in the community. This paper aims to review existing data on incidence, mortality, and morbidity of AKI within the community and explore the evidence base for primary care strategies aimed at reducing incidence and improving early detection and management of AKI. METHODS: A literature search was carried out using PubMed; key words including AKI, primary care, community acquired, and electronic alerts (e-alerts) were used to capture relevant data. RESULTS: Incidence of AKI developing in the community is variable between studies due to differences in AKI definition. Community-acquired AKI (CA-AKI) but identified in hospital (CAH-AKI) is more prevalent than hospital-acquired AKI and increases short- and long-term mortality and length of stay in hospital. CA-AKI identified in primary care is less severe than CAH-AKI but is associated with increased mortality. The use of e-alerts has good diagnostic accuracy for detecting AKI but their impact on outcomes in secondary care remains uncertain; it is likely that they should be complemented with other interventions to improve management. Evidence has not yet emerged regarding the effects of e-alerts on outcomes in primary care. CONCLUSION: Given the significance of developing AKI in the community, strategies to aid early detection and promote prevention are warranted. A multifaceted approach combining e-alerts, educational programs, and care bundles across the interface between primary and secondary care has the potential to improve outcomes in the future.
Subject(s)
Acute Kidney Injury/diagnosis , Acute Kidney Injury/therapy , Community Health Services/organization & administration , Evidence-Based Medicine , Primary Health Care/organization & administration , Humans , Treatment OutcomeABSTRACT
BACKGROUND: This study aimed to describe the burden of community-acquired acute kidney injury (AKI) in China based on a nationwide survey about AKI. STUDY DESIGN: Cross-sectional and retrospective study. SETTING & PARTICIPANTS: A national sample of 2,223,230 hospitalized adult patients from 44 academic/local hospitals in Mainland China was used. AKI was defined according to the 2012 KDIGO AKI creatinine criteria or an increase or decrease in serum creatinine level of 50% during the hospital stay. Community-acquired AKI was identified when a patient had AKI that could be defined at hospital admission. PREDICTORS: The rate, cause, recognition, and treatment of community-acquired AKI were stratified according to hospital type, latitude, and economic development of the regions in which the patients were admitted. OUTCOMES: All-cause in-hospital mortality and recovery of kidney function at hospital discharge. RESULTS: 4,136 patients with community-acquired AKI were identified during the 2 single-month snapshots (January 2013 and July 2013). Of these, 2,020 (48.8%) had cases related to decreased kidney perfusion; 1,111 (26.9%), to intrinsic kidney disease; and 499 (12.1%), to urinary tract obstruction. In the north versus the south, more patients were exposed to nephrotoxins or had urinary tract obstructions. 536 (13.0%) patients with community-acquired AKI had indications for renal replacement therapy (RRT), but only 347 (64.7%) of them received RRT. Rates of timely diagnosis and appropriate use of RRT were higher in regions with higher per capita gross domestic product. All-cause in-hospital mortality was 7.3% (295 of 4,068). Delayed AKI recognition and being located in northern China were independent risk factors for in-hospital mortality, and referral to nephrology providers was an independent protective factor. LIMITATIONS: Possible misclassification of AKI and community-acquired AKI due to nonstandard definitions and missing data for serum creatinine. CONCLUSIONS: The features of community-acquired AKI varied substantially in different regions of China and were closely linked to the environment, economy, and medical resources.
Subject(s)
Acute Kidney Injury/epidemiology , Hospital Mortality , Recovery of Function , Acute Kidney Injury/classification , Acute Kidney Injury/metabolism , Acute Kidney Injury/therapy , Adult , Aged , Aged, 80 and over , Cause of Death , China/epidemiology , Creatinine/metabolism , Cross-Sectional Studies , Delayed Diagnosis , Female , Hospitalization , Humans , Male , Middle Aged , Renal Replacement Therapy/statistics & numerical data , Retrospective Studies , Risk FactorsABSTRACT
BACKGROUND: The epidemiology of acute kidney injury (AKI) differs from country to country and varies from center to center within a country. Owing to the absence of a central registry, data on overall epidemiology of AKI are scanty from India. METHODS: This study aimed at describing changes in epidemiology of community-acquired AKI (CAAKI) over a time span of 26 years in two study periods, namely, 1983-95 and 1996-2008. RESULTS: We studied 2405 (1375 male and 1030 female) cases of AKI in the age range 1-95 (mean: 40.32) years. The incidence of CAAKI in 1983-95 and 1996-2008 was 1.95 and 4.14 per 1000 admission, respectively (P < 0.01). Obstetrical AKI has decreased because of the declining number of post-abortal AKI. Surgical AKI decreased from 13.8% in 1983-95 to 9.17% in 1996-2008(P < 0.01). Malarial AKI increased significantly from 4.7% in the first half of the study to 17% in the later period (P < 0.01). Diarrhea-associated AKI had significantly decreased from 36.83% in 1983-95 to 19% in 1996-2008 (P < 0.01). Sepsis-related AKI had increased from 1.57% in 1983-95 to 11.43% in 1996-2008 (P < 0.01). Nephrotoxic AKI showed an increasing trend in recent years (P < 0.01) and mainly caused by rifampicin and NSAIDs. Liver disease-related AKI increased from 1.73% in 1983-95 to 3.17% in 1996-2008 (P < 0.01). Myeloma-associated acute renal failure (ARF) accounted for 1.25% of the total number of ARF cases in the period 1996-2008. HIV infection contributed to 1.65% of ARF of the total number of AKI cases in the second period (1996-2008). Incidence of renal cortical necrosis (RCN) decreased significantly from 5.8% in 1983-95 to 1.3% in 1996-2008 of the total number of ARF cases (P < 0.01). However, during the same period ARF due to acute tubular necrosis, acute glomerulonephritis and acute interstitial nephritis remained unchanged. The mortality rate from AKI decreased significantly from 20% in 1983-95 to 10.98% in 1996-2008 (P < 0.01). CONCLUSIONS: The epidemiological characteristics of CAAKI have changed over the past three decades. There has been an increase in the overall incidence of ARF with the changing etiology of AKI in recent years. Incidences of obstetrical, surgical and diarrheal AKI have decreased significantly, whereas those of AKI associated with malaria, sepsis, nephrotoxic drugs and liver disease have increased. RCN has decreased significantly. In contrast to developed nations, community-acquired AKI is more common in developing countries. It often affects younger individuals and is caused by single and preventable diseases.
