| Literature DB >> 35479194 |
Tanya S Johns1, Kalyan Prudhvi1, Rachel A Motechin1, Kaltrina Sedaliu1, Michelle M Estrella2, Allison Stark1, Carolyn Bauer1, Ladan Golestaneh1, L Ebony Boulware3, Michal L Melamed1.
Abstract
Rationale & Objective: Interdisciplinary care may improve health outcomes in patients with chronic kidney disease (CKD). Few studies have evaluated this model of health care delivery in racial and ethnic minorities. Study Design: Retrospective cohort study. Setting & Participants: Incident end-stage kidney disease (ESKD) patients at Montefiore Medical Center from October 1, 2013, to October 31, 2019. Exposure: Pre-ESKD interdisciplinary care. Outcomes: Pre-ESKD transplant listing and optimal kidney replacement therapy (KRT) start (use of arteriovenous access at hemodialysis initiation, outpatient hemodialysis start, preemptive transplant, or peritoneal dialysis as the first modality). Analytical Approach: We constructed multivariable logistic regression models adjusted for sociodemographic and clinical factors to determine the odds of transplant listing and optimal KRT start between interdisciplinary versus the usual care group.Entities:
Keywords: Interdisciplinary or multidisciplinary care; chronic kidney disease; health care delivery; transplant
Year: 2022 PMID: 35479194 PMCID: PMC9035431 DOI: 10.1016/j.xkme.2022.100450
Source DB: PubMed Journal: Kidney Med ISSN: 2590-0595
Figure 1Study flowchart. Abbreviations: ESKD, end-stage kidney disease; ICD, International Classification of Diseases; mo, month.
Figure 2Montefiore’s Kidney Care Program offerings and proportion of patients who receive each offering. Proportion of patients in interdisciplinary care who receive each offering (∗). Abbreviations: ESKD, end-stage kidney disease.
Sociodemographic and Clinical Characteristics of Incident End-Stage Kidney Disease Patients (N = 295) at Montefiore Medical Center From October 1, 2013, to October 31, 2019
| Characteristic | All | Interdisciplinary Care | Usual Care | |
|---|---|---|---|---|
| Age, y | 59.9 ± 13.9 | 61.9 ± 13.4 | 59.1 ± 14.1 | 0.12 |
| Female | 136 (47) | 43 (51) | 93 (44) | 0.27 |
| Race/ethnicity | 0.70 | |||
| Non-Hispanic African American | 112 (38) | 35 (42) | 77 (37) | |
| Non-Hispanic White | 10 (3) | 4 (5) | 6 (3) | |
| Hispanic | 143 (49) | 38 (45) | 105 (50) | |
| Asian | 6 (2) | 2 (2) | 4 (2) | |
| Unknown/other | 24 (8) | 5 (6) | 19 (9) | |
| English-dominant speaker | 225 (76) | 70 (83) | 155 (73) | 0.07 |
| Uninsured | 26 (9) | 4 (5) | 22 (10) | 0.12 |
| Less than HS education | 55 (26) | 20 (27) | 35 (25) | 0.78 |
| BMI, kg/m2 | 29.2 [25.5-34.2] | 28.4 [23.2-33.4] | 29.4 [26.5-34.2] | 0.27 |
| Comorbid conditions | ||||
| Diabetes mellitus | 111 (38) | 29 (34) | 82 (38) | 0.48 |
| Hypertension | 208 (71) | 50 (60) | 158 (75) | 0.009 |
| Congestive heart failure | 74 (25) | 21 (25) | 53 (25) | 0.98 |
| Myocardial infarction | 16 (5) | 3 (4) | 13 (6) | 0.37 |
| Cerebrovascular disease | 12 (4) | 2 (2) | 10 (5) | 0.85 |
| Obesity (BMI >30 kg/m2) | 86 (42) | 25 (40) | 61 (43) | 0.60 |
| Dementia | 4 (1) | 2 (2) | 2 (1) | 0.33 |
| HIV | 6 (2) | 1 (1) | 5 (2) | 0.51 |
| Charlson Comorbidity Index score | 3 [2-7] | 3 [2-7] | 3 [2-7] | 0.96 |
| Laboratory data | ||||
| eGFR, mL/min/1.73 m2 | 7 [5-10] | 8 [6-10] | 7 [5-9] | 0.21 |
| Serum phosphorus, mg/dL | 5.6 [4.6-6.6] | 5.6 [4.5-6.6] | 5.6 [4.7-6.6] | 0.53 |
| Serum potassium, mEq/L | 4.6 [4.2-5.1] | 4.8 [4.4-5.1] | 4.5 [4.1-5.1] | 0.04 |
| Serum bicarbonate, mEq/L | 20 [16-22] | 20 [17-21] | 20 [16-23] | 0.72 |
| Serum albumin, g/dL | 3.6 [3.1-3.9] | 3.5 [3.2-3.9] | 3.6 [3.0-3.9] | 0.52 |
| Hemoglobin, g/dL | 8.5 [7.6-9.5] | 8.2 [7.4-9.2] | 8.7 [7.6-9.6] | 0.08 |
| Intact PTH, pg/mL | 310 [179-475] | 279 [151-470] | 327 [184-481] | 0.20 |
Note: Values for categorical variables are given as count (proportion); values for continuous variables are given as mean ± standard deviation for normally distributed variables or median [interquartile range] for skewed variables.
Abbreviations: BMI, body mass index; eGFR, estimated glomerular filtration rate; ESA, erythropoietin stimulating agent; HIV, human immunodeficiency virus; HS, high school; PTH, parathyroid hormone.
83 (28%) people were missing data in education; 10 (12%) in the interdisciplinary care group and 73 (35%) in the usual care group.
92 (31%) people were missing data on BMI; 21 (25%) in interdisciplinary care group and 71 (34%) in the usual care group.
eGFR reported by the Modification of Diet in Renal Disease Study equation. Complete data available except for the following laboratory data in the usual care group.
1 person was missing eGFR, phosphorus.
2 people were missing albumin.
3 people were missing hemoglobin.
13 people were missing data intact PTH.
Association of Receipt of Interdisciplinary Care (n = 84) vs Usual Care Alone (n = 211) With End-Stage Kidney Disease Preparedness in Incident patients in the Bronx, New York
| Outcomes | Odds Ratio | 95% CI | |
|---|---|---|---|
| Listed for transplant | |||
| Model A (includes demographics) | 4.96 | 2.67-9.24 | <0.001 |
| Model B (includes comorbid conditions and laboratory data) | 6.10 | 2.99-12.48 | <0.001 |
| Model C (fully adjusted) | 5.73 | 2.78-11.80 | <0.001 |
| Model D (fully adjusted without multiple imputation) | 5.36 | 1.81-15.81 | <0.001 |
| Model E (excludes Charlson Comorbidity Index score) | 5.10 | 2.54-10.17 | <0.001 |
| Optimal kidney replacement therapy start | |||
| Model A (includes demographics) | 1.50 | 0.88-2.54 | 0.13 |
| Model B (includes comorbid conditions and laboratory data) | 1.62 | 0.90-2.91 | 0.11 |
| Model C (fully adjusted) | 1.60 | 0.88-2.89 | 0.12 |
| Model D (fully adjusted without multiple imputation) | 1.62 | 0.78-3.40 | 0.20 |
| Model E (excludes Charlson Comorbidity Index score) | 1.61 | 0.90-2.89 | 0.11 |
| Model F (includes non-dialysis conservative kidney management) | 1.70 | 0.95-3.07 | 0.07 |
Note: Model A: Multivariable logistic regression model adjusted for age, sex, race or ethnicity, preferred language; Model B: Model A + additional adjustment for comorbid conditions (hypertension, diabetes mellitus, hypertension, cardiovascular disease, dementia, human immunodeficiency virus), Charlson Comorbidity Index scores, and laboratory data (serum potassium, serum potassium, phosphorus, hemoglobin, bicarbonate, albumin, and estimated glomerular filtration by Modification of Diet in Renal Disease Study equation); Model C (fully adjusted): Model B + additional adjustment for education and insurance; Model D: Model C without imputation for missing covariate data; Model E: Model C excluding Charlson Comorbidity Index scores; Model F (fully adjusted) includes the 3 patients who opted for non-dialysis conservative kidney management.
Optimal kidney replacement therapy start (defined as the use of arteriovenous access at hemodialysis initiation, outpatient hemodialysis start, preemptive transplant, or peritoneal dialysis as the first modality). For optimal kidney replacement therapy start outcome, all model except F excludes the 3 patients who opted for non-dialysis conservative kidney management.