Literature DB >> 33658833

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

Qinglin Li1, Yan Wang2, Zhi Mao1, Hongjun Kang1, Feihu Zhou1,3.   

Abstract

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.
© 2021 Li et al.

Entities:  

Keywords:  acute kidney injury; elderly; mortality; serum sodium

Year:  2021        PMID: 33658833      PMCID: PMC7920587          DOI: 10.2147/IJGM.S294644

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Acute kidney injury (AKI) is a common clinical acute critical illness that is frequently encountered in the elderly population.1–3 The disorder is generally characterized by an abrupt deterioration in renal function (RF) that disrupts metabolic, electrolyte and fluid homeostasis over a period of hours to days.4–6 Aging kidneys undergoing structural and functional changes that decrease autoregulatory capacity, systemic vasculature, and the immunological system render the elderly population highly susceptible to AKI.7,8 Previous studies of AKI in the elderly population mostly examined all-cause mortality, renal prognosis, or cardiovascular events.9,10 However, little work has been done on investigating electrolyte imbalances in elderly AKI patients, such as dysnatremia and its association with mortality.11 The kidneys play a central role in sodium homeostasis, and their functional decline leads to electrolyte disorders.12 Recently, Gao reported that compared with the reference group (136.0–144.9 mmol/L), AKI patients at the time of hospital admission with hyponatremia (< 136.0 mmol/L) or hypernatremia (≥145.0 mmol/L) had higher 90-day mortality rates.12 However, the independent or synergistic prognostic effects of abnormal serum sodium levels remain less well studied among elderly AKI patients. In addition, the normal ranges of serum sodium levels that are applicable to such patients are still unknown. Therefore, identifying the clinically significant normal ranges of serum sodium is an important issue for clinicians when making decisions regarding elderly AKI patients with dysnatremia.

Patients and Methods

This was a retrospective observational study conducted at the Chinese PLA General Hospital National Clinical Research Center for Geriatric Diseases (Beijing, China). All patients aged ≥ 75 years with normal renal function who were admitted to general ward between January 2007 and December 2018 were enrolled. The study design was approved by the Clinical Ethics Committee of the Chinese PLA General Hospital (number: S2017–054-01). The requirement to obtain written informed consent from each patient was waived because this was an observational retrospective study. The patients’ information were anonymous and non identifiable. This study was conducted in accordance with the declaration of Helsinki. All admissions were screened and evaluated for AKI and categorized according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Demographic and basic data were obtained from the medical records. Baseline serum sodium levels, and the sodium level at the time of AKI diagnosis were recorded. Other laboratory data of interest included baseline serum creatinine (Scr) level, the Scr level at the time of AKI diagnosis, and the levels of blood urea nitrogen (BUN), uric acid, blood glucose (BG), electrolytes (K, Ca, P, and Mg), C-reactive protein (CRP), albumin, prealbumin, and hemoglobin. The exclusion criteria were as follows: patients who had been previously diagnosed with chronic kidney disease (CKD), a hospital stay < 48 h, patients with no Scr data or only one Scr test, patients with insufficient medical records, and patients who died within 48 h of admission.

Definitions

The 2012 KDIGO-defined Scr criteria were used to identify and classify AKI.13 The CKD Epidemiology Collaboration method was used to calculate the baseline estimated glomerular filtration rate (eGFR).14 The baseline Scr level was the most recent measure taken in the 1–3 months before admission for AKI.15 Sepsis was defined according to the Surviving Sepsis Campaign Bundle: 2018 update.16 The normal sodium reference range (135.0–145.0 mmol/L) at the time of AKI diagnosis was divided into three intervals. Furthermore, five intervals outside the normal sodium reference range were defined: one interval contained patients with a serum sodium level below 130.0 mmol/L, one contained those with a serum sodium level from 130.0 mmol/L to 134.9 mmol/L, one contained those with a serum sodium level from 145.0 mmol/L to 147.9 mmol/L, one contained those with a serum sodium level from 148.0 mmol/L to 151.9 mmol/L and last, one interval contained patients with a serum sodium above 152.0 mmol/L. Thus, this study contains eight sodium intervals, where the reference interval was defined as a sodium level from 135.0 to 137.9 mmol/L based on the analysis, which confirmed that the lowest mortality risk was found in this range (Table 1).
Table 1

Demographic Data Stratification According to Serum Sodium Levels

CharacteristicsAKI Patientsn=744< 130.0 mmol/Ln=36130.0–134.9 mmol/Ln=115135.0–137.9 mmol/Ln=102138.0–141.9 mmol/Ln=164142.0–144.9 mmol/Ln=88145.0–147.9 mmol/Ln=70148.0–151.9 mmol/Ln=72≥ 152.0 mmol/Ln=97P-value
Age (years)88 (84–91)87 (82–94)87 (84–91)87 (82–91)87 (83–90)87 (84–90)90 (86–92)89 (85–92)89 (85–92)0.003
Male sex701 (94.2)30 (83.3)108 (93.9)98 (96.1)150 (91.5)86 (97.7)67 (95.7)70 (97.2)92 (94.8)0.085
BMI (kg/m2)23.0±3.123.2±2.723.1±3.223.5±3.023.2±3.422.9±3.122.6±3.322.5±2.722.6±2.90.256
Comorbidity
 Coronary disease565 (75.9)24 (66.7)94 (81.7)85 (83.3)120 (73.2)60 (68.2)54 (77.1)58 (80.6)70 (72.2)0.097
 Hypertension546 (73.4)28 (77.8)83 (72.2)80 (78.4)121 (73.8)67 (76.1)53 (75.7)52 (72.2)62 (63.9)0.448
 COPD511 (68.7)20 (55.6)79 (68.7)69 (67.6)111 (67.7)59 (67.0)52 (74.3)53 (73.6)68 (70.1)0.654
 Diabetes283 (38.0)10 (27.8)44 (38.3)44 (43.1)64 (39.0)35 (39.8)19 (27.1)25 (34.7)42 (43.3)0.340
Baseline Na (μmol/L)138.0 (134.0–141.0)130.0 (127.0–136.0)135.0 (133.0–139.0)137.0 (135.0–140.0)139.0 (136.0–142.0)139.0 (135.0–142.0)139.0 (135.0–142.0)140.0 (135.0–144.0)139.0 (135.0–143.0)<0.001
Baseline Scr (μmol/L)72.0 (60.0–82.0)70.0 (64.0–80.0)72.0 (58.0–81.0)78.0 (62.0–86.0)76.0 (62.0–84.0)72.0 (63.0–83.0)69.0 (57.0–80.0)67.0 (56.0–80.0)66.0 (56.0–78.0)<0.001
Baseline eGFR (mL/min/1.73 m2)78.7 (72.2–85.4)78.1 (72.8–85.7)79.0 (73.8–84.8)76.8 (69.5–83.2)77.7 (70.2–84.8)78.6 (72.2–85.7)81.1 (72.0–85.7)80.4 (74.8–86.8)80.7 (75.7–87.1)0.056
Etiology of AKI
 Sepsis312 (41.9)19 (52.8)34 (29.6)32 (31.4)59 (36.0)35 (39.8)38 (54.3)39 (54.2)56 (57.7)<0.001
 Hypovolemia159 (21.4)6 (16.7)25 (21.7)30 (29.4)30 (18.3)19 (21.6)16 (22.9)17 (23.6)16 (16.5)0.427
 Cardiovascular events111 (14.9)7 (19.4)25 (21.7)15 (14.7)23 (14.0)14 (15.9)10 (14.3)8 (11.1)9 (9.3)0.311
 Nephrotoxicity89 (12.0)3 (8.3)14 (12.2)10 (9.8)26 (15.9)13 (14.8)5 (7.1)6 (8.3)12 (12.4)0.477
 Surgery49 (6.6)1 (2.8)8 (7.0)13 (12.7)21 (12.8)4 (4.5)1 (1.4)1 (1.4)0<0.001
 Others24 (3.2)09 (7.8)2 (2.0)5 (3.0)3 (3.4)01 (1.4)4 (4.1)0.044
Clinical conditions
 MAP (mmHg)78±1480±1476±1379±1581±1279±1575±1475±1576±160.012
 Oliguria46 (6.2)5 (13.9)11 (9.6)2 (2.0)9 (5.5)4 (4.5)4 (5.7)6 (8.3)5 (5.2)0.174
 MV298 (40.1)7 (19.4)44 (38.3)22 (21.6)37 (22.6)34 (38.6)42 (60.0)50 (69.4)62 (63.9)<0.001
Pharmacotherapy
 ACEIs/ARBs414 (55.6)19 (52.8)60 (52.2)66 (64.7)98 (59.8)49 (55.7)40 (57.1)37 (51.4)45 (46.4)0.242
 Beta-blockers336 (45.2)17 (47.2)51 (44.3)48 (47.1)81 (49.4)41 (46.6)30 (42.9)30 (41.7)38 (39.2)0.845
 Calcium channel blockers306 (41.1)16 (44.4)45 (39.1)50 (49.0)69 (42.1)40 (45.5)27 (38.6)28 (38.9)31 (32.0)0.386
 Diuretics602 (80.9)29 (80.6)88 (76.5)85 (83.3)130 (79.3)74 (84.1)59 (84.3)61 (84.7)76 (78.4)0.745
Laboratory parameters
 Scr (μmol/L)128.4. (115.0–145.0)131.5 (116.3–145.0)125.0 (109.0–144.0)128.5 (115.0–144.3)126.6 (115.3–142.2)124.7(115.0–150.0)131.6 (113.8–145.1)136.0 (120.9–156.9)135.5 (116.6–149.3)0.036
 Peak Scr (μmol/L)144.0 (124.0–206.4)140.1 (123.3–278.5)136.1 (116.9–211.7)138.0 (122.0–180.1)137.0 (123.1–166.0)148.5 (122.8–207.6)171.0 (126.0–237.6)172.5 (131.3–267.0)170.0 (139.1–234.6)<0.001
 BUN (mmol/L)12.7 (8.9–20.7)11.0 (9.4–17.0)11.4 (8.8–14.7)9.6 (7.4–14.9)10.3 (7.5–13.8)12.0 (8.4–17.6)17.1 (9.4–25.5)21.1 (15.1–28.4)21.6 (16.6–36.8)<0.001
 Peak BUN (mmol/L)17.5 (10.7–32.9)20.0 (10.0–36.6)14.7 (10.0–26.7)12.8 (9.0–20.5)11.4 (8.8–22.2)15.9 (9.6–27.3)23.8 (13.1–34.2)30.3 (21.4–41.6)32.5 (21.3–42.9)<0.001
 Uric acid (mmol/L)366.5 (291.3–468.3)355.5 (255.4–421.3)356.4 (283.6–485.0)369.1 (287.9–448.2)350.5 (281.6–428.5)362.9 (267.4–468.9)404.0 (316.8–538.8)363.7 (308.3–509.3)417.0 (336.9–547.0)0.111
 BG (mmol/L)7.4 (5.8–10.3)8.3 (6.2–10.3)7.6 (5.8–11.2)7.7 (5.9–9.9)6.9 (5.3–9.4)6.4 (5.2–8.6)7.6 (6.1–9.4)7.9 (6.4–10.1)9.3 (7.0–12.7)<0.001
 K (mmol/L)4.2 (3.8–4.7)4.5 (4.0–4.9)4.3 (3.9–4.9)4.1 (3.8–4.5)4.1 (3.8–4.6)4.1 (3.8–4.7)4.0 (3.7–4.8)4.3 (3.9–4.9)4.1 (3.7–4.4)0.165
 Na (mmol/L)140.0 (136.0–147.0)127.0 (124.0–128.0)132.0 (131.0–134.0)136.0 (136.0–137.0)139.0 (138.0–140.0)143.0 (142.0–144.0)146.0 (145.0–147.0)149.0 (148.0–150.0)157.0 (154.0–161.0)<0.001
 Ca (mmol/L)2.2 (2.1–2.4)2.2 (2.0–2.3)2.2 (2.1–2.4)2.2 (2.1–2.3)2.2 (2.1–2.3)2.2 (2.1–2.3)2.2 (2.0–2.4)2.2 (2.0–2.3)2.3 (2.1–2.5)0.072
 P (mmol/L)1.2 (0.9–1.4)1.1 (1.0–1.4)1.1 (0.9–1.4)1.1 (0.9–1.4)1.2 (1.0–1.5)1.2 (1.1–1.4)1.2 (1.0–1.5)1.2 (0.9–1.4)1.2 (1.0–1.5)0.062
 Mg (mmol/L)0.9 (0.8–1.0)0.8 (0.7–0.9)0.9 (0.8–1.0)0.9 (0.8–1.0)0.9 (0.8–1.0)0.9 (0.8–1.0)0.9 (0.8–1.0)1.0 (0.8–1.1)1.0 (0.9–1.1)<0.001
 CRP (mmol/L)4.2 (1.9–9.6)4.7 (1.9–11.0)4.9 (2.3–10.0)3.3 (1.6–9.5)3.2 (1.6–7.3)3.6 (1.6–8.4)5.6 (2.4–13.2)5.6 (2.1–11.0)4.4 (2.3–9.9)0.112
 Albumin (g/L)34.2±5.633.4±7.335.1±5.835.3±5.535.5±4.934.4±5.233.8±5.531.8±5.732.2±4.9<0.001
 Prealbumin (g/L)176.0 (134.0–229.0)160.0 (115.0–219.0)171 (145–208)198 (148–248)205 (155–259)170 (134–230)163 (125–226)159 (122–226)156 (134–205)0.003
 Hemoglobin (g/L)112±22115±20113±21117±21115±23112±21106±21105±24108±23<0.001
AKI Stage<0.001
 1323 (43.4)15 (41.7)57 (49.6)58 (56.9)95 (57.9)42 (47.7)22 (31.4)14 (19.4)20 (20.6)
 2190 (25.5)9 (25.0)27 (23.5)22 (21.6)38 (23.2)18 (20.5)18 (25.7)25 (34.7)33 (34.0)
 3231 (31.0)12 (33.3)31 (27.0)22 (21.6)31 (18.9)28 (31.8)30 (42.9)33 (45.8)44 (45.4)
Outcomes
 RRT4 (0.5)1 (2.8)2 (1.7)1 (1.0)000000.236
 90-day mortality260 (34.9)13 (36.1)32 (27.8)20 (19.6)40 (24.4)27 (30.7)34 (48.6)38 (52.8)56 (57.7)<0.001
 1-year mortality383 (51.8)21 (58.3)54 (47.8) *34 (33.7) #63 (38.9)*40 (45.5)45 (64.3)50 (69.4)76 (78.4)<0.001

Notes: Values are n (%), mean ± SD or median (inter-quartile range); *2 lost during1-year follow-up; #1 lost during1-year follow-up.

Abbreviations: AKI, acute kidney injury; BMI, body mass index; COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; MAP, mean arterial pressure; 1mmHg 0.133 kPa; MV, mechanical ventilation; Scr, serum creatinine; BUN, blood urea nitrogen; BG, blood glucose; CRP, C-reactive protein; RRT, renal replacement therapy.

Demographic Data Stratification According to Serum Sodium Levels Notes: Values are n (%), mean ± SD or median (inter-quartile range); *2 lost during1-year follow-up; #1 lost during1-year follow-up. Abbreviations: AKI, acute kidney injury; BMI, body mass index; COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; MAP, mean arterial pressure; 1mmHg 0.133 kPa; MV, mechanical ventilation; Scr, serum creatinine; BUN, blood urea nitrogen; BG, blood glucose; CRP, C-reactive protein; RRT, renal replacement therapy.

Outcomes

The outcome of the study was all-cause mortality within 90 days and within 1 year after AKI diagnosis.

Statistical Analysis

Continuous variables are presented as the mean ± standard deviation for parametric variables or as the median with interquartile range (with 25th and 75th percentiles) for nonparametric variables. Categorical variables are presented as numbers (n) or percentages (%). Group comparisons were conducted using ANOVA or the Kruskal–Wallis H-test for continuous variables and Pearson’s chi-square or Fisher’s exact test for categorical variables. Prognostic survival factors were identified using the Cox proportional hazards regression model. Survival probability was estimated using the Kaplan–Meier method for the eight sodium intervals, and curves were compared among groups using the Log rank test. A P-value < 0.05 was considered significant. Statistical analyses were performed using SPSS version 21.0 for Windows software (SPSS Inc., Chicago, IL, USA).

Results

Study Population

In the period 2007–2018, a total of 3861 elderly patients (aged ≥ 75 years) were hospitalized at the National Clinical Research Center for Geriatric Diseases, 760 of whom developed AKI during hospitalization. Of these patients, 13 were excluded because of a length of hospital stay of less than 48 hours, 3 were excluded because of missing data that was required for this study, and 744 AKI patients were suitable for the final analysis. The median age of the 744 participants was 88 years, and the majority (701, 94.2%) were male. Among all patients, 260 (34.9%) died within 90 days. During the 1-year follow-up, 5 patients were lost, and 383 (51.8%) died.

General Conditions and Clinical Characteristics According to Sodium Levels

A summary of the baseline characteristics of the study population is provided in Table 1. The overall median serum sodium level when AKI was diagnosed was 140.0 mmol/L (136.0–147.0 mmol/L). Thirty-six patients were in the low sodium group (< 130.0 mmol/L), 115 in the sodium group 130.0–134.9 mmol/L, 102 in the sodium group 135.0–137.9 mmol/L, 164 in the sodium group 138.0–141.9 mmol/L, 88 in the sodium group 142.0–144.9 mmol/L, 70 in the sodium group 145.0–147.9 mmol/L, 72 in the sodium group 148.0–151.9 mmol/L, and 97 in the sodium group ≥152.0 mmol/L. Age, baseline Scr, sepsis, surgery, mean arterial pressure, need for mechanical ventilation, Scr, peak Scr, BUN, peak BUN, BG, Mg, prealbumin, albumin, hemoglobin, and AKI stage differed significantly among the 8 groups at the time of AKI diagnosis. Significant interactions were also observed between serum sodium levels and both 90-day mortality (P<0.001) and 1-year mortality (P<0.001). The 90-day mortality rates in the eight sodium interval groups from the lowest (<130.0 mmol/L) to the highest (≥152.0 mmol/L) were 36.1, 27.8, 19.6, 24.4, 30.7, 48.6, 52.8, and 57.7%, respectively. The 1-year 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.

Survival Analysis

Of the patients, 260 (34.9%) died during the 90-day follow-up. Survival curves for 90-day all-cause mortality across categories of serum sodium are presented in Figure 1. As shown in Table 2, among all the deaths from AKI, 5.0% of the patients had sodium levels <130.0 mmol/L, 12.3% had sodium levels from 130.0 to 134.9 mmol/L, 7.7% had sodium levels from 135.0 to 137.9 mmol/L, 15.4% had sodium levels from 138.0 to 141.9 mmol/L, 10.4% had sodium levels from 142.0 to 144.9 mmol/L, 13.1% had sodium levels from 145.0 to 147.9 mmol/L, 14.6% had sodium levels from 148.0 to 151.9 mmol/L, and 21.5% had sodium levels ≥152.0 mmol/L.
Figure 1

Kaplan–Meier plot of cumulative rates of 90-day mortality stratified by serum sodium levels (Log rank test: P < 0.001).

Table 2

Association of Categories of Serum Sodium Levels with 90-Day and 1-Year Mortality

Characteristics90-Day Outcomes1-Year Outcomes
Nonsurvivorsn=260 (34.9)Survivorsn=484 (65.1)PNonsurvivorsn=383 (51.8)Survivorsn=356 (48.2)P
Sodium levels (mmol/L)<0.001<0.001
< 130.013 (5.0)23 (4.8)21 (5.5)15 (4.2)
130.0–134.932 (12.3)83 (17.1)54 (14.1)59 (16.6)
135.0–137.920 (7.7)82 (16.9)34 (8.9)67 (18.8)
138.0–141.940 (15.4)124 (25.6)63 (16.4)99 (27.8)
142.0–144.927 (10.4)61 (12.6)40 (10.4)48 (13.5)
145.0–147.934 (13.1)36 (7.4)45 (11.7)25 (7.0)
148.0–151.938 (14.6)34 (7.0)50 (13.1)22 (6.2)
≥ 152.056 (21.5)41 (8.5)76 (19.8)21 (5.9)

Note: Values are n (%).

Association of Categories of Serum Sodium Levels with 90-Day and 1-Year Mortality Note: Values are n (%). Kaplan–Meier plot of cumulative rates of 90-day mortality stratified by serum sodium levels (Log rank test: P < 0.001). During the 1-year follow-up, 5 patients were lost, and 383 (51.8%) died. Survival curves for 1-year all-cause mortality across categories of serum sodium are presented in Figure 2. Among all the deaths from AKI, 5.5% of the patients had sodium levels <130.0 mmol/L, 14.1% had sodium levels from 130.0 to 134.9 mmol/L, 8.9% had sodium levels from 135.0 to 137.9 mmol/L, 16.4% had sodium levels from 138.0 to 141.9 mmol/L, 10.4% had sodium levels from 142.0 to 144.9 mmol/L, 11.7% had sodium levels from 145.0 to 147.9 mmol/L, 13.1% had sodium levels from 148.0 to 151.9 mmol/L, and 19.8% had sodium levels ≥152.0 mmol/L.
Figure 2

Kaplan–Meier plot of cumulative rates of 1-year mortality stratified by serum sodium levels (Log rank test: P < 0.001).

Kaplan–Meier plot of cumulative rates of 1-year mortality stratified by serum sodium levels (Log rank test: P < 0.001). In the multivariable adjusted analysis, patients with sodium levels <130.0 mmol/L [hazard ratio (HR): 2.247; 95% confidence interval (CI): 1.117–4.521; P=0.023], from 142.0 to 144.9 mmol/L (HR: 1.964; 95% CI: 1.100–3.508; P=0.022), from 145.0 to 147.9 mmol/L (HR: 2.942; 95% CI: 1.693–5.114; P<0.001), from 148.0 to 151.9 mmol/L (HR: 3.455; 95% CI: 2.009–5.944; P<0.001), and ≥152.0 mmol/L (HR: 3.587; 95% CI: 2.151–5.983; P<0.001) had relatively higher 90-day mortality rates (Table 3).
Table 3

Multivariate Cox Proportional Hazard Model Analysis of Risk Factors for Mortality

Risk Factors90-Day Mortality1-Year Mortality
HR95% CIPHR95% CIP
MAP0.9600.951–0.968<0.0010.9790.972–0.986<0.001
Albumin0.9060.887–0.924<0.001
Sodium levels (mmol/L)<0.001<0.001
 135.0–137.9ReferenceReferenceReferenceReference
 < 130.02.2471.117–4.5210.0231.9441.125–3.3600.017
 130.0–134.91.4420.825–2.5220.1991.4360.935–2.2070.099
 138.0–141.91.4380.840–2.4630.1861.4280.938–2.1730.097
 142.0–144.91.9641.100–3.5080.0221.6811.062–2.6600.027
 145.0–147.92.9421.693–5.114<0.0012.6311.683–4.112<0.001
 148.0–151.93.4552.009–5.944<0.0012.4111.552–3.744<0.001
 ≥ 152.03.5872.151–5.983<0.0013.0372.021–4.563<0.001

Abbreviations: MAP, mean arterial pressure; CI, confidence interval; HR, hazard ratio.

Multivariate Cox Proportional Hazard Model Analysis of Risk Factors for Mortality Abbreviations: MAP, mean arterial pressure; CI, confidence interval; HR, hazard ratio. Significant interactions were also observed between serum sodium levels and 1-year mortality: patients with sodium levels <130.0 mmol/L (HR: 1.944; 95% CI: 1.125–3.360; P=0.017), from 142.0 to 144.9 mmol/L (HR: 1.681; 95% CI: 1.062–2.660; P=0.027), from 145.0 to 147.9 mmol/L (HR: 2.631; 95% CI: 1.683–4.112; P<0.001), from 148.0 to 151.9 mmol/L (HR: 2.411; 95% CI: 1.552–3.744; P<0.001), and ≥152.0 mmol/L (HR: 3.037; 95% CI: 2.021–4.563; P<0.001) had relatively higher 1-year mortality rates (Table 3).

Discussion

Sodium is the main electrolyte responsible for serum osmolarity.17 Patients suffering from AKI have impaired sodium homeostasis. Dysnatremia is the most common electrolyte abnormality in clinical practice, as our study found (52.4%).11 No studies have independently or simultaneously investigated the prognostic role of such electrolytes among elderly patients with AKI. This study analyzed the 90-day mortality and 1-year mortality risks in relation to different serum sodium intervals in elderly AKI patients. It was not surprising that sodium levels outside the normal range (Na <130.0 and >145.0 mmol/L) were associated with an increased mortality risk; it was unexpected that one normal sodium level (Na: 142.0–144.9 mmol/L) was also associated with a significantly increased mortality risk in AKI patients. In the elderly population, the incidence of electrolyte imbalance is expected to be higher because of organ decline, decreased physiologic reserves, frailty, and the higher prevalence of disability and functional impairment.18–20 Kidneys are responsible for maintaining water homeostasis, and AKI could magnify the effect of dysnatremia on the clinical consequences. Normal ranges of serum sodium levels within 135.0–145.0 mmol/L used in clinical settings are determined mainly based on healthy subjects, and whether these values are applicable to elderly patients with complex comorbidities is still unknown.21 Through interfering with tubular functions, AKI disturbs the physiological regulation of electrolyte homeostasis, which could be more prominent in the elderly population. Previous studies have consistently reported that electrolyte imbalances, including dysnatremia and dyskalemia, are associated with worse in-hospital outcomes. Furthermore, the adverse impact of dysnatremia on clinical outcomes might be independent of the presence of initial AKI. Hypernatremia is characterized by a deficit of total body water relative to the total body sodium level and is defined as a serum sodium concentration exceeding 145 mmol/L.22 Hypernatremia in the geriatric population is a common disorder associated with significant mortality. Older people are predisposed to developing hypernatremia because of age-related physiologic changes such as decreased thirst drive, impaired urinary concentrating ability, and reduced total body water.23 Medications may also exacerbate this predisposition. Clinical data reported that hypernatremia is present in approximately 2.0% of patients older than 65 years but in almost 4.8% of those older than 75 years admitted to the hospital.24 In a retrospective study involving 8,441 older patients admitted to the ICU, approximately 3.6% had hypernatremia on admission, and 15.3% developed hypernatremia during hospitalization;25 the mortality rate in those admitted with hypernatremia was approximately 33.3%, while patients without hypernatremia had a mortality rate of 18.1%.25 If patients had normal serum sodium levels on admission and developed mild hypernatremia (145.0–150.0 mmol/L) or moderate to severe hypernatremia (>150.0 mmol/L) in the ICU, the mortality rates increased to 29.5% and 46.2%, respectively.25 Other studies have confirmed these findings: mortality increases with increasing serum sodium level, and even mild hypernatremia is associated with significant mortality in hospitalized elderly patients, even after accounting for confounders.25–27 Hyponatremia, defined as a serum sodium concentration below 135 mmol/L, is the most common electrolyte problem seen in hospitalized patients.22 Advanced age is an independent risk factor for the development of hyponatremia due to the decreased ability of the body to handle stresses related to salt and water balance. Moreover, drugs such as thiazides and nonsteroidal anti-inflammatory agents commonly used in this age group contribute to a decreased renal ability to excrete free water. Critically ill patients also demonstrate impaired renal capacity to excrete free water. Hyponatremia has been observed in 14.5–37.9% of patients upon hospital admission,22,28,29 while rates of hospital-acquired hyponatremia range from 11.0 to 38.2%.28,30,31 Mortality rates vary significantly based on the population studied, and in several studies, hyponatremia has been associated with an increased risk of death.22,28–31 Critically ill patients often receive large volumes of fluids. Diuretics in such patients minimize fluid overload and might increase the urine output. However, diuretics may decrease the effective circulating volume and may cause a decrease in renal blood flow and GFR or even aggravation of kidney dysfunction. Hence, the treatment and prevention of AKI remains a major challenge for intensive care physicians and nephrologists. While caring for AKI patients, the focus should be on identifying any reversible causes of renal damage, stopping any potential nephrotoxic agents, optimizing hemodynamics, and correcting electrolyte abnormalities. When managing severe AKI, whether to provide renal replacement therapy (RRT) and, if it is needed, when to initiate it are unclear. It is widely accepted that if there are life-threatening complications of AKI, such as hyperkalemia or metabolic acidosis, RRT should be initiated immediately. However, in the absence of such complications, the appropriate timing of the initiation of RRT remains unclear. On the basis of the current evidence, therefore, the use of diuretics should be limited to the management of volume overload and/or hyperkalemia. Patients should undergo RRT promptly when indicated and the use of diuretics should not delay the institution of RRT. A significant interaction between serum sodium levels and mortality was observed in our study (P interaction: <0.001 for 90-day mortality and <0.001 for 1-year mortality). Across different sodium strata, higher and lower serum sodium levels were both associated with an increased risk of mortality among patients with AKI. Hypernatremia has been poorly assessed in AKI, probably because according to a previous report, more AKI patients suffer from hyponatremia (Na+ < 135 mmol/L) than hypernatremia (Na+ > 145 mmol/L) (27.0% vs 5.7%) when admitted to the ICU.32 However, the percentage of patients with hypernatremia was 32.1% compared with 20.3% of the patients with hyponatremia in our study. Both hyponatremia and hypernatremia can have direct adverse effects on the function of various organs, including the brain, heart, and musculoskeletal system, and subsequently increase mortality. Dysnatremia may be a potential target for correction for clinicians. However, whether correcting dysnatremia could improve outcomes should be evaluated in future studies.

Strengths and Limitations

There were also several limitations of this study. First, this was a single-center retrospective analysis, and we could only establish an association rather than a causal relationship. In addition, different results could be reached when using patient records from other centers. Therefore, subject selection bias cannot be ignored. Second, we only analyzed sodium levels at the time of AKI diagnosis, and these levels could change over time (eg, initiating electrolyte therapy). Third, although we attempted to account for a number of potential confounders in the multivariable analyses, it is plausible that other unidentified variables may have influenced the results. Finally, we used all-cause mortality rather than cause-specific mortality, which was also a major limitation.

Conclusion

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

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Authors:  Christoffer Polcwiartek; Steen Møller Hansen; Kristian Kragholm; Maria Lukács Krogager; Mette Aldahl; Lars Køber; Christian Torp-Pedersen; Svend Eggert Jensen; Peter Søgaard
Journal:  Int J Cardiol       Date:  2018-08-15       Impact factor: 4.164

2.  Acute kidney injury in China: a cross-sectional survey.

Authors:  Li Yang; Guolan Xing; Li Wang; Yonggui Wu; Suhua Li; Gang Xu; Qiang He; Jianghua Chen; Menghua Chen; Xiaohua Liu; Zaizhi Zhu; Lin Yang; Xiyan Lian; Feng Ding; Yun Li; Huamin Wang; Jianqin Wang; Rong Wang; Changlin Mei; Jixian Xu; Rongshan Li; Juan Cao; Liang Zhang; Yan Wang; Jinhua Xu; Beiyan Bao; Bicheng Liu; Hongyu Chen; Shaomei Li; Yan Zha; Qiong Luo; Dongcheng Chen; Yulan Shen; Yunhua Liao; Zhengrong Zhang; Xianqiu Wang; Kun Zhang; Luojin Liu; Peiju Mao; Chunxiang Guo; Jiangang Li; Zhenfu Wang; Shoujun Bai; Shuangjie Shi; Yafang Wang; Jinwei Wang; Zhangsuo Liu; Fang Wang; Dandan Huang; Shun Wang; Shuwang Ge; Quanquan Shen; Ping Zhang; Lihua Wu; Miao Pan; Xiting Zou; Ping Zhu; Jintao Zhao; Minjie Zhou; Lin Yang; Wenping Hu; Jing Wang; Bing Liu; Tong Zhang; Jianxin Han; Tao Wen; Minghui Zhao; Haiyan Wang
Journal:  Lancet       Date:  2015-10-10       Impact factor: 79.321

3.  Predictors of acute kidney injury and mortality in an Intensive Care Unit.

Authors:  Luis Alberto Batista Peres; Vanessa Wandeur; Tiemi Matsuo
Journal:  J Bras Nefrol       Date:  2015 Jan-Mar

4.  Mortality after hospitalization with mild, moderate, and severe hyponatremia.

Authors:  Sushrut S Waikar; David B Mount; Gary C Curhan
Journal:  Am J Med       Date:  2009-09       Impact factor: 4.965

5.  Incidence and prognosis of dysnatremias present on ICU admission.

Authors:  Georg-Christian Funk; Gregor Lindner; Wilfred Druml; Barbara Metnitz; Christoph Schwarz; Peter Bauer; Philipp G H Metnitz
Journal:  Intensive Care Med       Date:  2009-10-22       Impact factor: 17.440

Review 6.  Management of Acute Kidney Injury: Core Curriculum 2018.

Authors:  Peter K Moore; Raymond K Hsu; Kathleen D Liu
Journal:  Am J Kidney Dis       Date:  2018-02-22       Impact factor: 8.860

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

Authors:  Chia-Ter Chao; Hung-Bin Tsai; Chia-Yi Wu; Yu-Feng Lin; Nin-Chieh Hsu; Jin-Shing Chen; Kuan-Yu Hung
Journal:  Sci Rep       Date:  2015-09-10       Impact factor: 4.379

8.  Admission serum sodium and potassium levels predict survival among critically ill patients with acute kidney injury: a cohort study.

Authors:  Xu-Ping Gao; Chen-Fei Zheng; Min-Qi Liao; Hong He; Yan-Hua Liu; Chun-Xia Jing; Fang-Fang Zeng; Qing-Shan Chen
Journal:  BMC Nephrol       Date:  2019-08-08       Impact factor: 2.388

9.  Association of serum sodium and risk of all-cause mortality in patients with chronic kidney disease: A meta-analysis and sysematic review.

Authors:  Liguang Sun; Yue Hou; Qingfei Xiao; Yujun Du
Journal:  Sci Rep       Date:  2017-11-21       Impact factor: 4.379

Review 10.  The impact of frailty on intensive care unit outcomes: a systematic review and meta-analysis.

Authors:  John Muscedere; Braden Waters; Aditya Varambally; Sean M Bagshaw; J Gordon Boyd; David Maslove; Stephanie Sibley; Kenneth Rockwood
Journal:  Intensive Care Med       Date:  2017-07-04       Impact factor: 17.440

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1.  Association between serum chloride levels with mortality in critically ill patients with acute kidney injury: An observational multicenter study employing the eICU database.

Authors:  Xu Zhu; Jing Xue; Zheng Liu; Wenjie Dai; Jingsha Xiang; Hui Xu; Qiaoling Zhou; Quan Zhou; Wenhang Chen
Journal:  PLoS One       Date:  2022-08-23       Impact factor: 3.752

  1 in total

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