Literature DB >> 35692284

Impact of Early versus Late Referral to Nephrologists on Outcomes of Chronic Kidney Disease Patients in Northern India.

Manoj Dhanorkar1, Narayan Prasad1, Ravi Kushwaha1, Manas Behera1, Dharmendra Bhaduaria1, Monika Yaccha1, Manas Patel1, Anupama Kaul1.   

Abstract

Background: CKD patients are often asymptomatic in the early stages and referred late to nephrologists. Late referred patients carry a poor prognosis. There is a lack of data on outcomes associated with referral patterns in CKD patients from northern India.
Methods: In this observational cohort study, all CKD patients who visited the nephrology OPD of the institute between Nov 1, 2018, and Dec 31, 2020, were classified as early referral (ER) if their first encounter with a nephrologist occurred more than one year before initiation of dialysis and education about dialysis (from a nurse or nephrologist). The remaining others were considered late referrals (LRs). The outcomes impact of early and late referrals was analyzed.
Results: A total of 992 (male 656) CKD patients (ER, n = 475 and LR, n = 517) were enrolled. Patients referred early were older and diabetic and had higher BMI, better education, occupation, and socioeconomic status as compared to those referred late. The mean eGFR at first contact with the nephrologist was (25.4 ± 11.5 ml/min) in ER and 9.6 ± 5.7 ml/min in the LR group and had a higher comorbidity score. The CKD-MBD parameters, hemoglobin, and nutritional parameters were worse in LR. Only a few patients had AVF, and the majority required emergency dialysis in the LR group. A total of 91 (9.2%) patients died, 17 (1.7% ER and 74 (7.5%) patients in the LR group patients. There was significantly lower survival at 6 months (ER 97.1% vs. LR 89.7%), 12 months (ER 96.4% vs. LR 85.7%), 18 months (ER 96.4% vs. LR 85.7%), and 24 months (ER 96.4% vs. LR 85.7%) in late referral group as compared to early referral group (P=0.005). Conclusions: LR to nephrologists has the risk of the emergency start of dialysis with temporary vascular access and had a higher risk of mortality. The timely referral to the nephrologist in the predialysis stage is associated with better survival and reduced mortality.
Copyright © 2022 Manoj Dhanorkar et al.

Entities:  

Year:  2022        PMID: 35692284      PMCID: PMC9177347          DOI: 10.1155/2022/4768540

Source DB:  PubMed          Journal:  Int J Nephrol


1. Introduction

Patients with end-stage renal disease (ESRD) have exceedingly high morbidity and mortality than the general population [1]. The lack of symptoms in the initial stages of some forms of chronic kidney disease (CKD), especially chronic tubulointerstitial diseases, is recognized late, and more than 50 percent are diagnosed late in CKD 5 on the first presentation [2]. Optimal treatment of CKD patients includes slowing the progression of native diseases, preventing metabolic disorders, preventing malnutrition, preserving the quality of life, and adequate preparation before initiating renal replacement therapy (RRT). The treatment strategies include optimal blood pressure control, streamlining the CKD-Mineral bone disorders, and anemia management. It also includes timely vaccination against vaccine-preventable blood-borne infections like hepatitis B diseases and pneumococcal and influenza vaccinations in the early stages of CKD before initiating RRT. The timely creation of an arteriovenous fistula (AVF) allows them for a smooth transition from CKD to renal replacement therapy (RRT) [3]. CKD patients who are referred late are often frail and anemic, have a lower likelihood of hepatitis B immunization, start dialysis without an arteriovenous fistula, have a poorer prognosis, and have higher mortality at dialysis initiation [3]. There are multiple factors responsible for late referral in various studies conducted in numerous countries depending on health infrastructure and trained human resources. Meta-analysis of these studies has shown varied factors accountable for the referral and their outcome. Broadly, there are two categories of factors, patient-related and health system-related factors, influencing the referral [4]. Firstly, the patient-related factors include the patient's age, gender, race, comorbidities, etiologies of kidney diseases, noncompliance, and socioeconomic status. Secondly, the health system-related factors are insurance status, referring physicians, referring centers, physician's rationale, and distance to referral centers. The referral to nephrologists from general physicians and the optimal management during the transition up to renal replacement therapy (RRT) affect the outcomes of the CKD patients. The data on referral patterns and outcomes for CKD patients in the Northern Indian population are lacking. Therefore, we aimed in the current study at a primary objective to find out the factors affecting the referral of the patients and the effect of early and late referrals on outcomes of the patients on subsequent follow-up.

2. Subject and Methods

This was a single-center observational cohort study of CKD patients in the North Indian population who visited the nephrology outpatient clinic of the institute. All adult CKD patients 18 years and above who attended the nephrology outpatient department (OPD) of the institute were enrolled after informed consent. A detailed demographic and past medical history along with the clinical examination and laboratory results were entered in a prestructured proforma. Patients were treated as per standard treatment to retard the progression and smooth transition from CKD to renal replacement therapy as per KDIGO clinical practice guidelines during follow-up. CKD was defined as per the KDIGO definition [5]. Estimated glomerular filtration rate (eGFR) was calculated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) [6]. The data on patients' related factors age, gender, race, education, occupation status, socioeconomic status, modified Charlson comorbidity index (CCI), body mass index (BMI), and blood pressure were recorded. The patient's education and occupation were noted according to Kuppuswamy's socioeconomic scale and later simplified for statistical evaluation [7]. Hematological parameters routinely performed for CKD evaluation like anemia profile hemoglobin, transferrin saturation, ferritin; CKD-MBD parameters of calcium, phosphorus, alkaline phosphatase, vitamin D, intact parathyroid hormone (iPTH); and lipid profiles were collected at the time of the first contact with the nephrologist at the institute. The modified CCI was calculated for each patient on a scale ranging from 0 to 37, calculated as done in a study by Chae et al. [8]. The patients were followed up every 4 months till the endpoint of the study along with supportive care as per KDIGO guidelines. The mean follow-up period was 16.74 ± 4.31 months with minimum and maximum follow-ups of 2 and 24 months, respectively. The patients were divided according to the timing of referral to the nephrologist elsewhere or the nephrologist of the institute. Patients were classified as early referral (ER) if their first encounter with a nephrologist occurred more than one year before initiation of dialysis and education about dialysis (from a nurse or nephrologist). The remaining others were considered late referral (LR) as described previously by Di Napoli et al. [9]. The impact of early and late referral was analyzed on the subsequent outcomes, the requirement of RRT, and the death of the patients on follow-up. The study was conducted after approval from the ethics committee of the institute.

3. Statistical Analysis

The continuous variables were expressed as mean ± standard deviation, and the categorical data are expressed as percentages. The Student's t-test was used to compare the mean values between the two groups. The chi-square test was used to compare the categorical values with a parametric distribution of values. Mann-Whitney U test was used to compare the nonparametric distribution of categorical values. The multivariate logistic regression analysis was used to determine the factors predicting late referral. Cox regression analysis was used to predict the independent variables associated with mortality of patients. The Kaplan-Meier survival analysis was used to analyze and compare the patient's survival between early and late referrals. The log-rank test was used to compare the survival curve for referral patterns. The statistical analysis was performed using IBM SPSS version 25. Significant differences were defined as P less than 0.05.

4. Results

The consort diagram of the study is shown in Figure 1. Two thousand two hundred thirty patients during the first 3 months of enrolment period attended the outpatient department (OPD), of which 1500 patients were referred to as CKD and were considered eligible for inclusion in the study during the study period Nov 1, 2018, to Dec 31, 2020. Two hundred eighty patients did not consent to the study, 118 patients during OPD were diagnosed with a non-CKD disease or normal renal function during follow-up, and 110 patients could not be followed up either physically or telephonically so they were considered ineligible for analysis.
Figure 1

Consort diagram of study flow.

A total of 992 patients (male 656; 72.2%) were analyzed. The gender ratio was similar in both groups. The clinical characteristics of patients with early and late referral patterns are shown in Table 1. Patients referred early were older and had higher BMI, better education, occupation, and socioeconomic status as compared to those referred late. Diabetic patients were referred early as compared to nondiabetic kidney diseases. The systolic and diastolic blood pressures were not different between the groups. The eGFR at first diagnosis with primary physician visits was higher in the early referral group. The early referral group was diagnosed to have CKD at a higher baseline eGFR level and referred at a higher eGFR level to the nephrologist. Patients with late referral had a higher modified Charlson comorbidity score at the time of referral. The mean hemoglobin level was higher in the early group. The iPTH level and serum phosphorus level were high, and serum calcium was low in the late referral group of patients; however, the 25(OH) Vit D was similar. The serum albumin, total cholesterol, and serum triglyceride were lower in the LR group than in the ER group of patients. In the late referral group, 92.5% of patients had elevated serum creatinine, while 84% had elevated serum creatinine at first diagnosis pattern by their primary physician.
Table 1

Patient-related characteristics and analysis for referral pattern.

Total (N = 992)ER (N = 475) (47.9%)LR (N = 517) (52.1%) P value
Age at the time of referral (yr)47.6 ± 15.051.0 ± 14.344.5 ± 15.10.005
Gender, male%656 (72.2%)343 (72.2%)373 (72.1%)0.982
BMI (kg/m2)23.6 ± 4.324.3 ± 4.723.0 ± 3.90.005
Patient's education (%)
 Education below graduate635 (64)280 (58.9)355 (68.7)0.001
 Graduate and postgraduate357 (36)195 (41.1)162 (31.3)
Patient's occupation (%)
 Primary631 (63.6)271 (57.5)360 (69.1)0.005
 Secondary172 (17.3)89 (18.9)83 (15.9)
 Tertiary189 (19.1)111 (23.6)78 (15)
Socioeconomic class (%)
 Lower384 (38.7)147 (30.9)237 (45.8)0.005
 Middle587 (59.2)314 (66.1)273 (52.8)
 Upper21 (2.1)14 (2.9)7 (1.4)
Underlying kidney disease (%)
 Diabetic kidney disease252 (25.4)153 (32.2)99 (19.1)0.005
 Glomerulonephritis246 (24.8)100 (21.2)146 (28.2)
 Chronic tubulointerstitial nephritis435 (43.9)187 (39.3)248 (48)
 Polycystic kidney disease28 (2.8)15 (3.1)13 (2.6)
 Hypertensive renal disease27 (2.7)17 (3.6)10 (1.9)
 Unknown4 (0.4)3 (0.6)1 (0.2)
Systolic BP (mmHg)147.6 ± 23.2147.3 ± 22.6147.9 ± 23.70.684
Diastolic BP (mmHg)83.8 ± 15.883.5 ± 15.284.0 ± 16.30.572
eGFR at the time of diagnosis by primary physician (ml/min/m2)23.0 ± 15.431.5 ± 13.915.3 ± 12.20.005
Number of visits to nephrologist from referral to dialysis
 2 times or more581 (58.6)471 (99.2)110 (21.3)0.005
 1 time30 (3)4 (0.8)26 (5)
 None381 (38.4)0 (0)381 (73.7)
Median duration from renal disease diagnosis by primary physician to referral (month) (IQR)4 (11)6 (18)3 (9)0.005
Median duration of follow-up by primary physician till CKD diagnosis (month) (IQR)2 (36.8)1 (13.6)10 (10)0.005
Primary physician (%)
 General physician310 (31.3)111 (23.4)199 (38.5)0.005
 Postgraduate physician682 (68.8)364 (76.6)318 (61.5)
Modified Charlson comorbidity index3.4 ± 1.53.2 ± 1.73.5 ± 1.20.001
Hemoglobin (g/dL)9.7 ± 4.010.4 ± 2.19.0 ± 5.00.005
Transferrin saturation (%)32.4 ± 129.225.9 ± 27.337.7 ± 171.70.182
Sr. ferritin (ng/mL)385.4 ± 490.0264.4 ± 385.8482.2 ± 541.30.005
Corrected calcium (mg/dL)8.7 ± 1.19.0 ± 0.98.4 ± 1.30.005
Phosphorus (mg/dL)5.9 ± 8.94.7 ± 1.37.0 ± 2.20.005
Alkaline phosphate (IU/L)139.4 ± 98.3122.3 ± 67.7155.0 ± 117.60.005
Vit D (nmol/L)21.3 ± 19.221.7 ± 17.521.0 ± 20.70.631
Median intact PTH (ng/L) (IQR)369.9 (477.7)259.2 (293.4)502.9 (603.9)0.005
Protein (g/dL)7.3 ± 4.07.6 ± 5.27.0 ± 2.60.037
Albumin (g/dL)3.9 ± 0.84.0 ± 0.73.9 ± 0.10.038
Total cholesterol (mg/dL)173.5 ± 63.3179.1 ± 65.8167.6 ± 60.10.010
Triglyceride (mg/dL)152.0 ± 84.3159.8 ± 92.6143.8 ± 74.00.007
Uric acid (mg/dL)7.9 ± 4.17.8 ± 4.38.0 ± 4.00.622
Usual presentation at the time of diagnosis (%)
 Elevated serum creatinine877 (88.4)399 (84)478 (92.5)0.005
 Abnormal kidney or urinary tract66 (6.7)40 (8.4)26 (5)
 Urine abnormalities49 (4.9)36 (7.6)13 (2.5)
The outcome parameters in terms of RRT modality and vascular access concerning early versus late referral are shown in Table 2. At the end of follow-up, a higher proportion of patients (47%) required emergency dialysis (ER 7.5% vs. LR 84%) with a nontunneled catheter (ER 6.1 vs. late 99%) in the late referral group. A significantly higher percentage of patients started on dialysis with AVF as first vascular access in the early referral group (38%) than in the late referral group (0.4%). Patients opting for peritoneal dialysis were not different between the two groups. The number of patients opting for renal transplantation was significantly high in early referral (11%) compared to none in late referral.
Table 2

Outcome-related characteristics with reference to referral pattern.

Total (N = 992) (100%)ER (N = 475)LR (N = 517) P value
RRT initiation type (%)
No requirement of RRT402 (40.5)402 (84.6)0 (0)0.005
Planned RRT122 (12.3)38 (8)84 (16.2)
Emergency RRT468 (47.2)35 (7.4)433 (83.8)
First dialysis access (%)
No402 (40.5)402 (84.6)0 (0)0.005
Nontunneled catheter541 (54.5)29 (6.1)512 (99)
Tunneled catheter19 (2)16 (3.4)3 (0.6)
Fistula30 (3)28 (5.9)2 (0.4)
Current dialysis access at end of follow-up
No on RRT426 (42.9)399# (84)27 (5.2)0.005
Nontunneled catheter38 (3.8)0 (0)38 (7.4)
Tunneled catheter156 (15.7)21 (4.5)135 (26.1)
Fistula363 (36.7)51# (10.7)312 (60.3)
CAPD/APD9 (0.9)4 (0.8)5 (1)
RRT modality in follow-up (%)
None429 (43.3)402 (84.7)27 (5.2)0.005
Hemodialysis546 (55)61 (12.8)485 (93.8)
Peritoneal dialysis9 (0.9)4 (0.8)5 (1)
Renal transplant8 (0.8)8$ (1.7)0 (0)

27 patients in LR group denied any RRT type on follow-up and hence had no final dialysis access and all died during follow-up. #3 patients in ER group made fistula in follow-up but did not require any RRT till the final follow-up. $8 patients who were initially on HD later underwent renal transplant. RRT, renal replacement therapy.

The multivariate logistic regression analysis predicting the late referral type is shown in Table 3. The age of the patients, eGFR at the time of diagnosis by primary physician, and modified Charlson comorbidity score were significantly associated with the late referral (Table 3).
Table 3

Multivariate analysis showing variables associated with late referral.

VariableHR95% CI P value
Age at the time of referral (per year)1.021.01–1.040.005
Body mass index (per kg/m2)1.030.99–1.070.108
Patient's education, education below graduate (ref)
 Graduate and postgraduate0.840.56–1.260.388
Patient's occupation, primary (ref)
 Secondary1.190.71–1.990.521
 Tertiary0.830.46–1.480.533
Socioeconomic class, lower (ref)
 Middle0.860.27–2.770.804
 Upper1.270.42–3.850.668
eGFR at the time of diagnosis by primary physician (ml/min/m2)1.101.08–1.110.005
Duration of follow-up by primary physician till CKD diagnosis (per month)1.001.00–1.010.095
Duration of follow-up from renal disease diagnosis by primary physician to referral (per month)1.001.00 – 1.000.106
Primary physician, general physician (ref)
 Postgraduate physician0.950.66–1.370.793
 Modified Charlson comorbidity index0.720.64–0.820.005
Underlying kidney disease, diabetic kidney disease (ref)
 CKD other than DKD0.940.62–1.420.760

CKD, chronic kidney disease; DKD, diabetic kidney disease; eGFR, glomerular filtration rate.

5. Mortality with Reference to Early and Late Referral Groups

The differences in the patient-related characteristics of the dead and alive patients are shown in Table 4. During follow-up, a total of 91 (9.2%) patients died, with 17 (1.7%) in the ER group and 74 (7.5%) patients in the LR group. The relative risk of death of the patients in the LR group (RR 4.31, 95%CI 2.54–7.630) was higher as compared to ER. Besides LR, other factors associated with mortality were age, educational status, eGFR at the time of the first diagnosis by the primary physician, eGFR at the time of referral, number of visits to a nephrologist, and modified Charlson comorbidity score. The hemoglobin level and transferrin saturation were low in patients who died; however, the serum ferritin level was similar. The serum calcium was low, and inorganic phosphorus, alkaline phosphatase, and iPTH values were high in patients who died. The total cholesterol and serum triglyceride were significantly low in those who died. On Kaplan-Meier survival analysis, there was significantly lower survival at 6 months (ER 97.1% vs. LR 89.7%), 12 months (ER 96.4% vs. LR 85.7%), 18 months (ER 96.4% vs. LR 85.7%), and 24 months (ER 96.4% vs. LR 85.7%) in late referral group as compared to early referral group (P=0.005) (Figure 2).
Table 4

Differences in clinical parameters between alive and dead patients on follow-up.

Total (N = 992) (100%)Death (N = 91) (9.2%)Alive (N = 901) (90.8%) P-value
Age at the time of referral (yr)47.6 ± 15.055.5 ± 15.147.1 ± 15.0 0.001
Gender, male%716 (72.2)61 (6.2)655 (66)0.251
BMI (kg/m2)23.6 ± 4.323.5 ± 4.023.6 ± 4.40.845
Patient's education (%)
 Education below graduate635 (64)68 (74.7)567 (62.9) 0.025
 Graduate and postgraduate357 (36)23 (25.3)334 (37.1)
Patient's occupation (%)
 Primary631 (63.6)66 (72.5)565 (62.7)0.179
 Secondary172 (17.3)12 (13.2)160 17.8)
 Tertiary189 (19.1)13 (14.3)176 (19.5)
Socioeconomic class (%)
 Lower384 (38.7)43 (47.3)341 (37.8)0.126
 Middle587 (59.2)45 (49.1)542 (60.2)
 Upper21 (2.1)3 (3.3)18 (2.0)
Referral type
 Late referral521 (52.5)74 (81.3)447 (49.6) 0.005
 Early referral471 (47.5)17 (18.7)454 (50.4)
Underlying kidney disease (%)
 Diabetic kidney disease252 (25.4)20 (22)232 (25.7)0.431
 CKD other than DKD740 (74.6)71 (78)669 (74.3)
Systolic BP (mmHg)147.6 ± 23.2149.5 ± 22.1147.4 ± 23.30.414
Diastolic BP (mmHg)83.8 ± 15.881.5 ± 15.284.0 ± 15.80.148
eGFR at the time of diagnosis by primary physician (ml/min/m2)23.0 ± 15.416.9 ± 12.123.7 ± 15.5 0.005
Number of visits to nephrologist from referral to dialysis
 2 times or more585 (59)32 (35.2)553 (61.4) 0.005
 1 time26 (2.6)4 (4.4)22 (2.4)
 None381 (38.4))55 (60.4)326 (36.2)
Median duration from renal disease diagnosis by primary physician to referral (mo) (IQR)4 (11)5 (15.5)4 (11)0.262
Median duration of follow-up by primary physician till CKD diagnosis (mo) (IQR)2 (36.8)2 (23)3 (37)0.213
Primary physician (%)
 General physician310 (31.3)33 (36.3)277 (30.7)0.279
 Postgraduate physician682 (68.7)58 (63.7)624 (69.3)
Modified Charlson comorbidity index3.4 ± 1.53.9 ± 1.53.3 ± 1.4 0.005
Hemoglobin (g/dL)9.7 ± 4.08.4 ± 2.09.8 ± 4.1 <0.005
Transferrin saturation (%)32.5 ± 129.226.2 ± 15.533.1 ± 135.60.647
Sr. ferritin (ng/mL)385.4 ± 490.0452.5 ± 550.7378.6 ± 483.30.647
Corrected calcium (mg/dL)8.7 ± 1.18.1 ± 1.18.8 ± 1.1 0.005
Phosphorus (mg/dL)5.9 ± 8.96.8 ± 2.15.8 ± 9.3 0.005
Alkaline phosphate (IU/L)139.4 ± 98.3173.5 ± 133.4135 ± 93.4 0.001
Vit D (nmol/L)21.3 ± 19.218.3 ± 15.321.6 ± 19.50.229
Median intact PTH (ng/L) (IQR)370 (477.7)559 (548)346 (442) 0.005
Protein (g/dL)7.3 ± 4.07.4 ± 5.87.3 ± 3.80.679
Albumin (g/dL)3.9 ± 0.83.8 ± 1.73.9 ± 0.60.215
Total cholesterol (mg/dL)173.5 ± 63.3157.5 ± 69.8175.0 ± 62.4 0.027
Triglyceride (mg/dL)152.0 ± 84.3125.9 ± 71.5154.5 ± 85.1 0.007
Serum sodium (mEq/L)136.5 ± 5.1135.5 ± 5.8136.6 ± 5.1 0.049
Serum potassium (mEq/L)5.0 ± 0.85.1 ± 0.85.0 ± 0.80.224
Serum uric acid (mg/dL)7.9 ± 4.18.0 ± 2.37.9 ± 4.30.843
Usual presentation for first kidney disease diagnosis (%)
 Elevated serum creatinine877 (88.4)85 (93.4)792 (87.9) 0.176
 Abnormal kidney or urinary tract66 (6.7)5 (5.5)61 (6.8)
 Urine abnormalities49 (4.9)1 (1.1)48 (5.3)
Figure 2

Kaplan-Meier survival curve by the timing of referral pattern in CKD.

The multivariate cox regression analysis predicting the mortality of the patients is shown in Table 5. The age of patients, education, referral type, hemoglobin, calcium, and alkaline phosphatase were the factors significantly associated with the mortality. The LR patients had 2.9 (95% confidence interval 1.27–6.70, P=0.012) times higher mortality compared to ER group of patients.
Table 5

Multivariate cox regression analysis showing independent variables associated with mortality.

Multivariate cox regression analysis of predictors associated with mortality
Age at the time of referral (per year increase)1.051.03–1.07 0.005
Patient's education, education below graduate (ref)
Graduate and postgraduate0.470.24–0.92 0.027
eGFR at first diagnosis by primary physician (per ml/min/m2)0.990.96–1.010.299

Referral type, early referral (ref)
Late referral2.911.27–6.70 0.012
Modified Charlson comorbidity index1.130.93–1.370.235

Number of visits to nephrologist from referral to dialysis, none (reference)
1 time0.850.42–1.720.642
2 times or more0.730.16–3.400.685
Hemoglobin (g/dL)0.850.73–0.99 0.034
Serum calcium (mg/dL)0.680.53–0.88 0.003
Phosphorus (mg/dL)1.011.00–1.020.265
Alkaline phosphate (IU/L)1.001.00–1.00 0.026
Vit D (nmol/L)0.990.97 – 1.010.218
Intact PTH (ng/L)1.001.00–1.000.622
Total cholesterol (mg/dL)1.001.00–1.010.662
Triglyceride (mg/dL)1.000.99–1.000.237
The causes of death in early and late referral groups are enumerated in Table 6. Cardiovascular disease was the most common cause of death (32%), followed by infection (29%) and neoplasm (7%). The remaining deaths (32%) are due to other causes shown in Table 4. In the ER group, cardiovascular disease was the most common cause of death (29%), followed by infection and neoplasm at 23% and 12%, respectively. The remaining deaths (36%) were due to other causes, as shown in Table 6. In the LR group also, the cardiovascular cause was the most common cause of death (32%) followed by infection (30%) and neoplasm (5.4%); however, the death associated with the catheter-related bloodstream infection was significantly higher in the late referral group 23% as compared to no death in early referral group (P=0.035).
Table 6

Cause of death in patients on follow-up in early and late referral group.

Cause of deathEarly referral (n = 17)Late referral (n = 74)Total (n = 91)
Cardiovascular diseaseMyocardial infarction022
Cardiomyopathy011
Cardiac arrest, cause unknown41418
Pulmonary edema022
Pulmonary embolus011
Cerebrovascular accidents including intracranial hemorrhage134
Other hemorrhage011

InfectionsCatheter-related blood stream infection01717
Peritoneal access infection complication202
Septicemia, other causes011
Pulmonary infections (pneumonia, pyothorax)235
Endocarditis011

Liver and abdominal diseaseLiver failure134
NeoplasmMetastatic disease/solid tumor112
Multiple myeloma134

OtherHyperkalemia257
Severe cachexia/failure to thrive022
Opportunistic infection123
Suicide011
Another cause of death112
Unknown11011
The outcome characteristics with the modality of RRT and vascular access for dialysis concerning dead and alive patients are shown in Table 7. We also observed significantly higher mortality in patients requiring dialysis (either planned or emergency) with relative risk [9.37 (95% CI 4.28–20.49)] (P=0.0001) as compared to patients not requiring dialysis on follow-up. The relative risk of death was high for patients requiring emergency hemodialysis with RR = 3.09 (95% CI 1.92–4.96) (P=0.0001) than for patients not requiring dialysis. Patients receiving their first dialysis via nontunneled catheter had significantly higher mortality with RR = 4.75 (95% CI 2.69–8.40) (P=0.0001) than other vascular access. Twenty-seven patients in the late referral group who were initiated on emergency HD via nontunneled catheter denied any form of further RRT. All of them died during follow-up, indicating poor acceptance of treatment in the late referral group. Three patients in the ER group underwent timely AVF creation before starting dialysis. Eight patients in the ER group underwent renal transplantation during follow-up compared to none in the late referral group, again reiterating that adequate counseling by the nephrologist is vital for the ideal management of CKD patients.
Table 7

Differences in outcome-related characteristics regarding dead and alive patients on follow-up.

Total (N = 992) (100%)Death (N = 91) (9.2%)Alive (N = 901) (90.8%) P value
RRT initiation type (%)
No requirement of RRT402 (40.5)7# (7.7)395 (43.8)<0.005
Planned RRT122 (12.3)19 (20.9)103 (11.4)
Emergency RRT468 (47.2)65 (71.4)403 (44.7)
First dialysis access (%)
No402 (40.5)7# (7.7)395 (43.8)<0.005
Nontunneled catheter541 (54.5)76 (83.5)465 (51.6)
Tunneled catheter19 (1.9)3 (3.3)16 (1.8)
Fistula30 (3.1)5 (5.5)25 (2.8)
Current dialysis access at end of follow-up
No on RRT426 (42.9)34 (37.3)392 (43.5)<0.005
Nontunneled catheter38 (3.8)15 (16.5)23 (2.6)
Tunneled catheter156 (15.8)22 (24.2)134 (14.9)
Fistula363 (36.6)18 (19.8)345 (38.2)
CAPD/APD9 (0.9)2 (2.2)7 (0.8)
RRT modality in follow-up (%)
None429 (43.2)34 (37.4)395@ (43.8)0.264
Hemodialysis546 (55.1)55 (60.4))491 (54.5)
Peritoneal dialysis9 (0.9)2 (2.2)7 (0.8)
Renal transplant8 (0.8)0 (0)8$ (0.9)

27 patients in the LR group denied any RRT type in follow-up and all died during follow-up. #7 patients in ER group died without the requirement of RRT. @3 patients made fistula in follow-up but did not require any RRT till the final follow-up. $8 patients who were initially on HD later underwent renal transplant.

6. Discussion

In this study, we have observed that more than half of the CKD patients had late referral with the first contact with a nephrologist within a year of starting dialysis. We have also observed that diabetic patients with higher education and higher socioeconomic status are referred early. A higher number of patients in the late referral group had an emergency start of dialysis with temporary vascular access, a known risk factor associated with higher mortality in these patients [9-14]. We also observed that CKD patients who were not referred timely to nephrologist die early because of CKD complications. There was a clear survival advantage of the ER groups compared to the LR group on subsequent follow-up as observed in other studies [9-13]. Similar to our study, multiple other studies from the developed and developing countries had also shown higher mortality with the LR. The studies are briefed in Table 8. However, the various studies used different definitions for the ER and LR of CKD patients. The association with the patient outcome also varied in other studies. One study with cut-off timing of late referral of 1 month showed no difference in long term survival; however, a greater financial cost for emergency HD in LR patients was reported [15]. One of the studies with a cut-off duration of 4 months also showed no survival advantage in the long term of early referral; however, authors reported more significant initial morbidity in the late referral group [16].
Table 8

Summary of the studies with outcomes in the early versus late referral.

StudyER/LR definitionOutcome
Kazmi et al. 2004, 2,195 patients; USRDS [12]Late <4 months44% higher mortality in LR group
Early >4 months

Dogan et al. 2005, 101 patients; Turkey [11]Late <12 weeksBetter biochemical variables, short hospital stay, higher AVF creation, and availability to start alternative dialysis modality (CAPD)
Early >12 weeks

De Jager et al. 2010, 1438 patients; Netherland [10]Late <3 monthsEarly and late referrals were associated with increased mortality compared with very early referral
Early (3–12 months)
Very early (>12 months)

Kim et al. 2013, 1028 patients; Korea [13]Late <12 monthsReduced morbidity and mortality and hospitalization, better uptake of PD and AV fistula creation in the ER group
Early >12 months

Di Napoli et al. 2010 673 patients; Italy [9]Late <12 monthsLower frequency of hepatitis B virus vaccination, arteriovenous fistula, and information about renal replacement therapy modalities, emergency initiation of HD in LR group
Early >12 months

Schmidt et al. 1998, 238 patients, United States [15]ER > 1 monthNo difference in long term survival but greater financial cost for emergency HD in LR patients
LR < 1 month

Roubicek et al. 2000 270 patients, France [16]ER > 4 monthsGreater initial morbidity in late referral group but no difference in long term outcome
LR < 4 months
Most of the latest studies used 12 months to define early referral, which was consistently associated with better outcomes in the early referral group. ER affects predialysis care which includes the creation of access and initiation of RRT. It also helps build the patient and family's financial and mental preparation. ER had better correction of hydration status, various electrolyte imbalances and blood parameters, blood pressure control, evaluation and treatment of comorbidities, etc., which needs a longer duration of preparation of the patient. We used a similar definition of 12-month duration for the categorization of study subjects after enrolment. Fewer patients in ER group required emergency dialysis with the nontunneled catheter. ER patients also had more fistula creation before dialysis. They opted for renal transplantation, again reiterating the fact that adequate counseling by the nephrologist is important for the future prospective management of patients with CKD. The number of AVF creation and patients going for dialysis even in ER groups remained minuscule compared recommended reference [17]. A majority do not opt for any modality of RRT, only a few renal transplantations, and the high death rate suggests no improvement in CKD care and management over the decades [18-20]. Patients with hypocalcemia, high phosphorus, and increased alkaline phosphatase have increased mortality, indicating nonoptimized care for CKD. The low serum albumin, cholesterol, and triglyceride level indicate the poor nutritional status of the patients who died [20]. It also indicates that many of these patients did not receive appropriate supportive care before referral, either due to late diagnosis or due to late referral. Late referral was independently associated with high mortality on multivariate analysis in our study. This indicates a need for the significant role of the primary physician in early diagnosis and referring the CKD patients to a nephrologist for optimum care and smooth transition from early stages of CKD to RRT. Thus, education and sensitization of the primary care physician are equally important. One of the major strengths of our study was a prospective follow-up of the patients after the first contact with nephrologists. The majority of the studies in the existing pieces of literature had a retrospective observational design (Table 8) with variable timings used for defining the type of referral. This study also has limitations, like a short-term follow-up of patients and a single-center study with referral bias. Furthermore, the referral timing of 3 months seems too short to consider that the patient has received adequate education and counseling before initiating RRT. With a population of 1378 million, India had only 1900 trained nephrologists. It approximates 0.72 nephrologists per million population, far less than the 28 nephrologists per million population in the USA [21, 22]. With limited infrastructure and trained human resources for the optimum care of kidney diseases and RRT, ER for the nephrologists should be made mandatory to optimize the care and intercept preventable death. In conclusion, LR to nephrologists has the risk of the emergency start of dialysis with temporary vascular access and carries a higher risk of mortality. On the other hand, the timely referral to the nephrologist in the predialysis stage is associated with better survival and reduced mortality in CKD patients.
  20 in total

Review 1.  Outcomes of early versus late nephrology referral in chronic kidney disease: a systematic review.

Authors:  Neil A Smart; Thomas T Titus
Journal:  Am J Med       Date:  2011-11       Impact factor: 4.965

2.  KDOQI Clinical Practice Guideline for Vascular Access: 2019 Update.

Authors:  Charmaine E Lok; Thomas S Huber; Timmy Lee; Surendra Shenoy; Alexander S Yevzlin; Kenneth Abreo; Michael Allon; Arif Asif; Brad C Astor; Marc H Glickman; Janet Graham; Louise M Moist; Dheeraj K Rajan; Cynthia Roberts; Tushar J Vachharajani; Rudolph P Valentini
Journal:  Am J Kidney Dis       Date:  2020-03-12       Impact factor: 8.860

3.  Chronic Kidney Disease in India: A Clarion Call for Change.

Authors:  Santosh Varughese; Georgi Abraham
Journal:  Clin J Am Soc Nephrol       Date:  2018-01-30       Impact factor: 8.237

4.  Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO).

Authors:  Andrew S Levey; Kai-Uwe Eckardt; Yusuke Tsukamoto; Adeera Levin; Josef Coresh; Jerome Rossert; Dick De Zeeuw; Thomas H Hostetter; Norbert Lameire; Garabed Eknoyan
Journal:  Kidney Int       Date:  2005-06       Impact factor: 10.612

5.  Survey of determinants and effects of timing of referral to a nephrologist: the patient's point of view.

Authors:  Anteo Di Napoli; Sabrina Valle; Gianna d'Adamo; Patrizio Pezzotti; Serena Chicca; Marco Pignocco; Cosimo Spinelli; Salvatore Di Giulio; Domenico Di Lallo
Journal:  J Nephrol       Date:  2010 Sep-Oct       Impact factor: 3.902

6.  Early referral and its impact on emergent first dialyses, health care costs, and outcome.

Authors:  R J Schmidt; J R Domico; M I Sorkin; G Hobbs
Journal:  Am J Kidney Dis       Date:  1998-08       Impact factor: 8.860

7.  Late nephrology referral and mortality among patients with end-stage renal disease: a propensity score analysis.

Authors:  Waqar H Kazmi; Gregorio T Obrador; Samina S Khan; Brian J G Pereira; Annamaria T Kausz
Journal:  Nephrol Dial Transplant       Date:  2004-07       Impact factor: 5.992

Review 8.  Chronic kidney disease in India: challenges and solutions.

Authors:  S K Agarwal; R K Srivastava
Journal:  Nephron Clin Pract       Date:  2009-02-05

Review 9.  A systematic review of patient and health system characteristics associated with late referral in chronic kidney disease.

Authors:  Sankar D Navaneethan; Sarah Aloudat; Sonal Singh
Journal:  BMC Nephrol       Date:  2008-02-25       Impact factor: 2.388

10.  Early referral to a nephrologist improved patient survival: prospective cohort study for end-stage renal disease in Korea.

Authors:  Do Hyoung Kim; Myounghee Kim; Ho Kim; Yong-Lim Kim; Shin-Wook Kang; Chul Woo Yang; Nam-Ho Kim; Yon Su Kim; Jung Pyo Lee
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

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