| Literature DB >> 32268897 |
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Abstract
BACKGROUND: Chronic kidney disease with metabolic acidosis is common in older people, but the effectiveness of oral sodium bicarbonate therapy in this group is unclear. We tested whether oral sodium bicarbonate provides net health benefit for older people with advanced chronic kidney disease and serum bicarbonate concentrations < 22 mmol/L.Entities:
Keywords: Acidosis; Randomised controlled trial; Renal insufficiency, chronic; Sodium bicarbonate
Mesh:
Substances:
Year: 2020 PMID: 32268897 PMCID: PMC7144058 DOI: 10.1186/s12916-020-01542-9
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 8.775
Fig. 1CONSORT diagram for participant flow through the trial
Baseline characteristics of randomised participants (n = 300)
| Sodium bicarbonate ( | Placebo ( | |
|---|---|---|
| Mean age (years) (SD) | 73.9 (7.6) | 74.0 (6.6) |
| Age 60–64 (%) | 13 (8.6) | 13 (8.8) |
| Age 65–69 (%) | 44 (28.9) | 22 (14.9) |
| Age 70–74 (%) | 23 (15.1) | 44 (29.7) |
| Age 75–79 (%) | 30 (19.7) | 37 (25.0) |
| Age 80–84 (%) | 32 (21.1) | 24 (16.2) |
| Age 85 and over (%) | 10 (6.6) | 8 (5.4) |
| Female sex (%) | 42 (27.6) | 44 (29.7) |
| Ethnicity | ||
| White (%) | 144 (94.7) | 143 (96.6) |
| East Asian (%) | 0 (0) | 1 (0.7) |
| Black (%) | 1 (0.7) | 0 (0) |
| South Asian (%) | 4 (2.6) | 2 (1.4) |
| Hispanic (%) | 1 (0.7) | 0 (0) |
| Other (%) | 2 (1.3) | 2 (1.4) |
| Cause of renal dysfunction* | ||
| Hypertension (%) | 37 (24.3) | 40 (27.0) |
| Diabetes mellitus (%) | 23 (15.1) | 23 (15.5) |
| Glomerulonephritis (%) | 9 (5.9) | 11 (7.4) |
| Polycystic kidney disease (%) | 11 (7.2) | 9 (6.1) |
| Vascular disease (%) | 19 (12.5) | 21 (14.2) |
| Other (%) | 52 (34.2) | 63 (42.6) |
| Not known (%) | 31 (20.4) | 22 (14.9) |
| Cardiovascular comorbidity | ||
| Hypertension (%) | 135 (88.8) | 129 (87.2) |
| Diabetes mellitus (%) | 54 (35.5) | 47 (31.8) |
| Ischaemic heart disease (%) | 26 (17.1) | 31 (20.9) |
| Stroke (%) | 16 (10.5) | 12 (8.1) |
| Heart failure (%) | 19 (12.5) | 5 (3.4) |
| Peripheral vascular disease (%) | 14 (9.2) | 10 (6.8) |
| Previous fragility fracture (%) | 2 (1.3) | 5 (3.4) |
| Mean number of medications (SD) | 8.2 (3.7) | 7.9 (3.3) |
| Medication use: | ||
| ACEi/ARB (%) | 105 (69.1) | 91 (61.5) |
| Phosphate binder (%) | 32 (21.1) | 28 (18.9) |
| Activated vitamin D (%) | 77 (50.7) | 73 (49.3) |
| Erythropoietin (%) | 89 (58.6) | 106 (71.6) |
| Iron (%) | 60 (39.5) | 51 (34.5) |
| Mean eGFR (mL/min/1.73 m2) (SD) | 19.7 (6.5) | 18.2 (6.4) |
| CKD category 5 (%) | 34 (22.4) | 48 (32.4) |
| Mean serum bicarbonate (mmol/L) (SD) | 20.6 (2.6) | 20.1 (2.5) |
| Mean haemoglobin (g/L) (SD) | 115 (14) | 117 (17) |
| Mean serum potassium (mmol/L) (SD) | 4.9 (0.5) | 4.9 (0.5) |
| Mean Short physical performance battery (SD) | 8.0 (2.4) | 8.1 (2.2) |
| Mean 6-min walk distance (m) (SD) | 304 (134) | 317 (133) |
| Mean handgrip strength (kg) (SD) | ||
| Males | 26.6 (8.8) | 28.0 (7.6) |
| Females | 15.4 (4.8) | 15.8 (4.4) |
| Mean body mass index (kg/m2) (SD) | 28.9 (4.5) | 28.3 (4.6) |
| Mean mid-arm muscle circumference (cm) (SD) | 24.9 (3.6) | 24.8 (4.0) |
| Mean triceps skinfold thickness (mm) (SD) | 16 (8) | 17 (9) |
| Mean mid-thigh circumference (cm) (SD) | 47.4 (7.0) | 46.8 (7.0) |
| Mean EQ-5D-3L (SD) | 0.73 (0.22) | 0.74 (0.24) |
| Mean EQ-5D thermometer (SD) | 69 (19) | 71 (19) |
| Mean KDQoL scores | ||
| SF36 PCS (SD) | 36 (11) | 36 (11) |
| SF36 MCS (SD) | 53 (11) | 54 (9) |
| Burden (SD) | 75 (26) | 75 (25) |
| Symptoms (SD) | 79 (14) | 81 (12) |
| Effects (SD) | 86 (14) | 87 (15) |
| Mean office systolic blood pressure (mmHg) (SD) | 143 (18) | 143 (18) |
| Mean office diastolic blood pressure (mmHg) (SD) | 75 (11) | 73 (10) |
ACEi angiotensin-converting enzyme inhibitor, ARB angiotensin receptor blocker, CKD chronic kidney disease, KDQOL Kidney Disease Quality of Life questionnaire, SF-36 Short-Form 36-Item questionnaire, PCS physical component summary, MCS mental component summary, EQ-5D EuroQoL 5 dimension quality of life questionnaire
*More than one aetiology possible; thus, values sum to > 100%
Fig. 2Serum bicarbonate concentrations. Values are mean and 95% CI
Fig. 3Subgroup analyses for the primary outcome (Short Physical Performance Battery). Values are mean and 95% CI
Secondary outcomes—adjusted treatment effects (repeated measures analyses using data from all available timepoints, adjusted for age, sex and CKD category)
| Treatment effect (bicarbonate–placebo) (95% CI) | ||
|---|---|---|
| Physical function and anthropometry | ||
| Six-min walk distance (m) | − 33 (− 62 to − 4) | 0.02 |
| Grip strength (kg) | − 1.5 (− 2.8 to − 0.2) | 0.03 |
| Weight (kg) | 0.2 (− 2.9 to 3.4) | 0.89 |
| Mid-arm muscle circumference (cm) | 0.0 (− 0.6 to 0.6) | 0.99 |
| Triceps skinfold thickness (mm) | − 1 (− 2 to 1) | 0.34 |
| Mid-thigh circumference (cm) | 0.1 (− 0.8 to 1.1) | 0.80 |
| Quality of life | ||
| EuroQoL EQ-5D-3L | − 0.04 (− 0.08 to 0.00) | 0.06 |
| EuroQoL EQ-5D visual analogue scale | − 3 (− 7 to 1) | 0.09 |
| KDQOL symptoms | − 1 (− 3 to 2) | 0.67 |
| KDQOL burden of disease | − 3 (− 8 to 2) | 0.20 |
| KDQOL effect of disease | − 2 (− 5 to 1) | 0.25 |
| KDQOL SF-36 physical component summary | − 1 (− 4 to 1) | 0.23 |
| KDQOL SF-36 mental component summary | − 2 (− 4 to 0) | 0.03 |
| Renal biochemistry | ||
| Serum bicarbonate (mmol/L) | 1.1 (0.6 to 1.6) | < 0.001 |
| Serum potassium (mmol/L) | 0.0 (− 0.1 to 0.1) | 0.80 |
| eGFR (mL/min/1.73 m2)* | 0.6 (− 0.8 to 2.0) | 0.39 |
| Serum creatinine (umol/L)* | − 8 (− 28 to 13) | 0.46 |
| Serum cystatin C (mg/L)* | − 0.01 (− 0.17 to 0.14) | 0.89 |
| Log [urinary albumin/creatinine ratio] | 0.32 (− 0.05 to 0.70) | 0.09 |
| Cardiometabolic risk | ||
| Log [NT-pro-BNP (pg/mL)] | 0.13 (− 0.18 to 0.44) | 0.42 |
| Total cholesterol (mmol/L) | 0.1 (− 0.2 to 0.3) | 0.58 |
| Systolic blood pressure (mmHg) | 0 (− 4 to 3) | 0.93 |
| Diastolic blood pressure (mmHg) | 1 (− 1 to 3) | 0.16 |
| HbA1c (mmol/mol) | 1 (− 1 to 4) | 0.38 |
| Bone and mineral metabolism | ||
| Log [TRACP-5b (IU/L)] | − 0.18 (− 0.43 to 0.08) | 0.17 |
| Log [Bs-ALP (μg/L)] | 0.01 (− 0.11 to 0.13) | 0.83 |
| Log [PTH (pmol/L)] | 0.03 (− 0.14 to 0.19) | 0.75 |
| Log [25OHD (nmol/L)] | − 0.08 (− 0.23 to 0.06) | 0.24 |
| 1,25OHD (pmol/L) (SD) | 3 (− 3 to 9) | 0.30 |
| Serum calcium (mmol/L) | 0.02 (0.00 to 0.04) | 0.11 |
| Serum phosphate (mmol/L) | 0.02 (− 0.03 to 0.06) | 0.52 |
| Other | ||
| Haemoglobin (g/L) | − 0.1 (− 0.4 to 0.2) | 0.48 |
| Albumin (g/L) | 0 (−1 to 1) | 0.67 |
| Log [TSH (mIU/L)] | 0.07 (− 0.10 to 0.24) | 0.39 |
*Repeated measures analyses using data from all available timepoints, adjusted for age and sex only
1,25OHD 1,25-dihydroxyvitamin D, 25OHD 25-hydroxyvitamin D, NT-pro-BNP N-terminal pro B-type natriuretic peptide, Bs-ALP bone-specific alkaline phosphatase, eGFR estimated glomerular filtration rate, HbA1c glycosylated haemoglobin, KDQOL kidney disease quality of life, PTH parathyroid hormone, SF-36 Short-form 36 questionnaire, TRACP-5b tartrate-resistant acid phosphatase 5b, TSH thyroid-stimulating hormone
Adverse events by MedDRA System Order Class (SOC)
| Bicarbonate ( | Placebo ( | |
|---|---|---|
| Number of adverse events per participant (%) | ||
| 0 | 21 (13.8) | 16 (10.8) |
| 1 | 23 (15.1) | 41 (27.7) |
| 2 | 27 (17.8) | 35 (23.6) |
| 3 | 35 (23.0) | 15 (10.1) |
| 4 or more | 46 (30.3) | 41 (27.7) |
| Total number of adverse events | 457 | 400 |
| SOC classification—number of events | ||
| Blood and lymphatic system disorders | 5 | 1 |
| Cardiac disorders | 32 | 19 |
| Congenital, familial and genetic disorders | 0 | 1 |
| Ear and labyrinth disorders | 1 | 1 |
| Endocrine disorders | 1 | 2 |
| Eye disorders | 6 | 6 |
| Gastrointestinal disorders | 45 | 25 |
| General disorders and administration site conditions | 14 | 20 |
| Hepatobiliary disorders | 0 | 0 |
| Immune system disorders | 0 | 0 |
| Infections and infestations | 113 | 118 |
| Injury, poisoning and procedural complications | 41 | 32 |
| Investigations | 5 | 7 |
| Metabolism and nutrition disorders | 19 | 27 |
| Musculoskeletal and connective tissue disorders | 28 | 17 |
| Neoplasms benign, malignant and unspecified (including cysts and polyps) | 9 | 16 |
| Nervous system disorders | 24 | 12 |
| Psychiatric disorders | 1 | 5 |
| Renal and urinary disorders | 23 | 23 |
| Reproductive system and breast disorders | 4 | 1 |
| Respiratory, thoracic and mediastinal disorders | 26 | 14 |
| Skin and subcutaneous tissue disorders | 16 | 11 |
| Surgical and medical procedures | 34 | 30 |
| Vascular disorders | 10 | 12 |
Adjusted (adjusted for baseline differences (age, gender, stage of CKD, baseline EQ-5D health utility score and baseline cost)) mean incremental costs, incremental QALYs/outcomes and incremental cost-effectiveness ratio between sodium bicarbonate vs placebo
| Analysis | Incremental mean costs, £ (95% CI)a, b, c | Incremental mean QALYs/outcomes (95% CI)a, b, c | Mean incremental cost-effectiveness ratio (£/QALY/outcome) |
|---|---|---|---|
| Complete cases over 12-month follow-up ( | 563.74 (88.18 to 1154.18) | −0.047 (− 0.078 to − 0.015) | Dominated |
| Sensitivity analysis: lower sodium bicarbonate costd | 352.76 (− 154.37 to 957.45) | − 0.047 (− 0.078 to − 0.015) | Dominated |
| Sensitivity analysis: lower inpatient stay coste | 539.03 (109.13 to 1050.45) | − 0.046 (− 0.078 to − 0.015) | Dominated |
| Sensitivity analysis: using ICECAP valuef | 636.20 (187.59 to 1189.24) | − 0.017 (− 0.032 to 0.0001) | Dominated |
| Sensitivity analysis: using life satisfaction valueg | 580.19 (143.38 to 1130.11) | − 0.396 (− 0.733 to − 0.059) | Dominated |
| Complete cases over 24-month follow-up ( | 591.00 (166.29 to 1078.36) | − 0.083 (− 0.166 to − 0.005) | Dominated |
| Sensitivity analysis: lower sodium bicarbonate costd | 242.59 (− 179.63 to 720.27) | − 0.083 (− 0.166 to − 0.005) | Dominated |
| Sensitivity analysis: lower inpatient stay coste | 593.74 (191.37 to 1072.07) | − 0.083 (− 0.166 to − 0.005) | Dominated |
| Sensitivity analysis: using ICECAP valuef | 598.87 (215.69 to 1052.43) | −0.051 (− 0.095 to − 0.010) | Dominated |
| Sensitivity analysis: using life satisfaction valueg | 682.44 (257.28 to 1142.63) | − 0.974 (− 1.762 to − 0.190) | Dominated |
| Complete cases over 24-month follow-up and all participants starting renal replacement therapy during the trial ( | 808.93 (− 4124.71 to 5411.89) | − 0.074 (− 0.151 to − 0.003) | Dominated |
| Sensitivity analysis: lower sodium bicarbonate costd | 534.61 (− 4385.90 to 5149.69) | − 0.074 (− 0.150 to − 0.003) | Dominated |
| Sensitivity analysis: lower inpatient stay coste | 817.21 (− 4097.90 to 5415.22) | − 0.073 (− 0.151 to − 0.001) | Dominated |
| Sensitivity analysis: using ICECAP valuef, i | 422.08 (− 4091.74 to 4629.60) | − 0.046 (− 0.090 to − 0.002) | Dominated |
| Sensitivity analysis: lower dialysis costj | 600.26 (− 3560.78 to 4379.06) | − 0.075 (− 0.154 to − 0.001) | Dominated |
| Sensitivity analysis: higher dialysis costk | 899.41 (− 4327.11 to 5714.04) | − 0.074 (− 0.156 to 0.002) | Dominated |
| Sensitivity analysis: using life satisfaction valueg, l | 928.18 (− 4373.23 to 5729.68) | − 0.072 (− 1.366 to 0.002) | Dominated |
aBootstrapped non-parametric 95% confidence interval (2.5th/97.5th percentile)
bGeneralised linear model with γ distribution and power 0.65 link function to estimate incremental costs and ordinary least squares regression to estimate incremental QALYs (complete cases)
cGeneralised linear model with Gaussian distribution and power 0.5 link function to estimate incremental costs and ordinary least squares regression to estimate incremental QALYs (114 complete cases + 47 participants starting renal replacement therapy during the trial with baseline EQ-5D). For incomplete cases, missing cost data were assumed to be zero and missing EQ-5D data were imputed by carrying forward the last observation
dApplied average cost of three generic sodium bicarbonate 500 mg with the lowest price, £0.14/day
eApplied average of lower quartile unit cost for non-elective inpatient and elective inpatient bed days, £287/day
fAdjusted for baseline differences (age, gender, stage of CKD, baseline ICECAP value and baseline cost)
gAdjusted for baseline differences (age, gender, stage of CKD, baseline life satisfaction value and baseline cost)
hDiscounted at 3.5% per year
iTwo participants from the bicarbonate group without any ICECAP data were excluded from the analysis, n = 159
jApplied average of lower quartile unit cost for haemodialysis (£134/visit) and peritoneal dialysis (£66/visit)
kApplied average of upper quartile unit cost for haemodialysis (£180/visit) and peritoneal dialysis (£77/visit)
lTwo participants (1 from each group) without any life satisfaction data were excluded from the analysis, n = 159
Abbreviations: QALYs quality-adjusted life years, ICER incremental cost-effectiveness ratio, SA sensitivity analysis, ICECAP Investigating Choice Experiments for the preferences of older people CAPability tool, CKD chronic kidney disease
Fig. 4Scatterplot and cost-effectiveness acceptability curve of incremental cost difference and incremental QALY difference between randomised groups
| Miles D Witham | AGE Research Group, NIHR Newcastle Biomedical Research Centre, Newcastle University and Newcastle-upon-Tyne Hospitals Trust; School of Medicine, University of Dundee | Miles.Witham@newcastle.ac.uk |
| Margaret Band | Tayside Clinical Trials Unit, University of Dundee | m.band@dundee.ac.uk |
| Aimun Ahmed | Lancashire Teaching Hospitals NHS Foundation Trust | Aimun.Ahmed@lthtr.nhs.uk |
| Michael K Almond | Southend University Hospital NHS Trust | Mike.almond1@gmail.com |
| Gowrie Balasubramaniam | Southend University Hospital NHS Trust | g.balasubramaniam@southend.nhs.uk |
| Kolitha Basnayake | Brighton and Sussex University Hospitals NHS Trust | k.basnayake@nhs.net |
| Deepak Bhatnagar | The Royal Oldham Hospital | Deepak.Bhatnagar@manchester.ac.uk |
| Anthony Chan | Mid Essex Hospital Services NHS Trust | Anthony.Chan@meht.nhs.uk |
| Huey Yi Chong | Health Economics Research Unit, University of Aberdeen | huey.chong@abdn.ac.uk |
| Peter T Donnan | Division of Population Health and Genomics, Medical School, University of Dundee | p.t.donnan@dundee.ac.uk |
| Neill Duncan | Imperial College Renal and Transplant Centre, Hammersmith Hospital | Neill.Duncan@nhs.net |
| Geeta Hampson | Department of Clinical Chemistry and Metabolic Medicine, Guys and St Thomas’s NHS Trust | geeta.hampson@kcl.ac.uk |
| May Khei Hu | NHS Grampian | Maykhei.hu@nhs.net |
| Philip A Kalra | Salford Royal NHS Foundation Trust | philip.kalra@srft.nhs.uk |
| Gwen Kennedy | The Immunoassay Biomarker Core Laboratory, University of Dundee | g.y.kennedy@dundee.ac.uk |
| Adam Kirk | Portsmouth Hospitals NHS Trust | apothad@gmail.com |
| Edmund J Lamb | East Kent Hospitals University NHS Foundation Trust | elamb@nhs.net |
| Stewart Lambie | NHS Highland | stewart.lambie2@nhs.net |
| Roberta Littleford | University of Queensland | r.littleford@uq.edu.au |
| Paul McNamee | Health Economics Research Unit, University of Aberdeen | p.mcnamee@abdn.ac.uk |
| Biswa Mishra | The Royal Oldham Hospital | Biswa.mishra@pat.nhs.uk |
| Sandip Mitra | Manchester University Hospitals NHS Foundation Trust | Sandip.Mitra@cmft.nhs.uk |
| Johann Nicholas | Shrewsbury and Telford Hospital NHS Trust | johann.nicholas@nhs.net |
| Deirdre Plews | Tayside Clinical Trials Unit, University of Dundee | Deirdre.plews@outlook.com |
| Petra Rauchhaus | Tayside Clinical Trials Unit, University of Dundee | P.Rauchhaus@dundee.ac.uk |
| Roy L Soiza | Ageing Clinical and Experimental Research, University of Aberdeen | r.l.soiza@abdn.ac.uk |
| Paul E Stevens | East Kent Hospitals University NHS Foundation Trust | pstevens@nhs.net |
| Deepa Sumukadas | Department of Medicine for the Elderly, NHS Tayside | d.sumukadas@nhs.net |
| Wai Tse | University Hospitals Plymouth NHS Trust | wai-yee.tse@nhs.net |
| Graham Warwick | John Walls Renal Unit, University Hospitals of Leicester | Graham.warwick@uhl-tr.nhs.uk |
| Martin Wilkie | Sheffield Teaching Hospital NHS Foundation Trust | martin.wilkie@sth.nhs.uk |
| Georgia Winnett | Basildon and Thurrock University Hospitals NHS Foundation Trust | Georgia.Winnett@btuh.nhs.uk |
| Alison Avenell | Health Services Research Unit, University of Aberdeen | a.avenell@abdn.ac.uk |