| Literature DB >> 35814320 |
Anna T Valson1, Reena R George2, Manish Lalwani1, Dhivakar Balusamy1, Divina S Albert1, Anissa Abraham1, Blesswin Richie1, Naevis P Samuel1, Jeethu J Eapen1, Athul Thomas1, Elenjickal E John1, Sabina Yusuf1, Annamalai V Chidambaram1, Suceena Alexander1, Vinoi G David1, Santosh Varughese1, Ilavarasi Jesudoss2, Vinitha Ravindran2.
Abstract
Aims: The mass quarantine measures adopted to control the COVID-19 pandemic greatly impacted the lives of patients on haemodialysis in India. We used a mixed methods approach to study its effect on dialysis outcomes and the lived experience of haemodialysis patients during the lockdown.Entities:
Keywords: COVID-19; India; hemodialysis; lockdown; outcome measures
Year: 2022 PMID: 35814320 PMCID: PMC9267087 DOI: 10.4103/ijn.IJN_561_20
Source DB: PubMed Journal: Indian J Nephrol ISSN: 0971-4065
Figure 1STROBE diagram for the study
Demographic and socioeconomic characteristics of the study population
| Mean±SD, median (IQR), or percentage | |
|---|---|
| Age (years) | 51.2±15.2 |
| Males (%) | 66.7 |
| Diabetes (%) | 44 |
| Median Charlson’s comorbidity index (IQR) | 4 (2, 6) |
| Median dialysis vintage (months, IQR) | 20 (9.7, 53) |
| On thrice-weekly hemodialysis (%) | 60.3 |
| Native kidney disease (%) | 41.1 |
| Diabetic nephropathy | 31.2 |
| Unknown Glomerular | 14.2 |
| Hypertensive nephrosclerosis | 4.3 |
| Inherited kidney disease | 3.5 |
| Urological disease and CAKUT | 4.3 |
| Interstitial disease | 1.4 |
| Dialysis financed by (%) | |
| Self | 73.6 |
| Employer (private/government) | 21.4 |
| Insurance | 5.0 |
| Education (%) | |
| No formal schooling | 4.3 |
| Primary school | 7.8 |
| Middle school | 15.6 |
| High school | 30.5 |
| Undergraduate | 27.0 |
| Postgraduate | 9.9 |
| Professional | 5.0 |
| Occupation (%) | |
| Unemployed but able to work | 11.3 |
| Unemployed and unable to work | 10.6 |
| Private sector | 11.3 |
| Government sector | 15.6 |
| Self-employed | 12.8 |
| Homemaker | 20.6 |
| Student | 4.3 |
| Retired | 13.5 |
| Median distance between home and | 8 (3, 32) |
| dialysis unit (km, IQR) | Range: 0.5-150 km |
CAKUT: Congenital anomalies of the kidney and urinary tract
Effect of the lockdown on transportation to and from the dialysis unit
| Before the lockdown (% or median, IQR) | During the lockdown (% or median, IQR) |
| |
|---|---|---|---|
| Mode of transport to the dialysis unit (%) | <0.001 | ||
| Private vehicle | 23.4 | 68.8 | |
| Autorickshaw/taxi | 39.7 | 17.7 | |
| Public transport (bus/train) | 33.3 | 0 | |
| On foot | 3.6 | 12.1 | |
| Ambulance | 0 | 1.4 | |
| Median time taken to travel to the dialysis unit (hours) | 0.5 (0.25, 1) | 0.5 (0.25, 1) | 0.307 |
| Median per day expense on transport to the dialysis unit (rupees) | 150 (50, 250) | 200 (80, 500) | <0.001 |
| Median increase over usual expense (%) | 25 (0, 172) |
Change in clinical and biochemical variables post-lockdown
| Patients previously on thrice weekly Dialysis (Median, IQR) |
| Patients previously on twice-weekly Dialysis (Median, IQR) |
| ||
|---|---|---|---|---|---|
| Median change in predialysis systolic blood pressure in mm Hg (IQR)†
| +10 (20) | <0.001* | 0 (10) | 0.235 | 0.005* |
| Median change in predialysis diastolic blood pressure in mm Hg (IQR)†
| +2 (10) | 0.016* | 0 (0) | 0.929 | 0.062 |
| Median change in interdialytic weight gain in kg (IQR)†
| +0.5 (0.9) | <0.001* | +0.25 (1.1) | 0.045* | 0.423 |
| Median change in hemoglobin in g/dL (IQR) ††
| +0.05 (2.4) | 0.759 | +0.35 (2.0) | 0.597 | 0.864 |
| Median change in serum sodium in meq/L††
| - 1.0 (4.5) | 0.013* | - 2.0 (5.0) | 0.007* | 0.527 |
| Median change in serum potassium in meq/L ††
| +0.15 (1.3) | 0.063 | +0.05 (1.4) | 0.576 | 0.522 |
| Median change in serum bicarbonate in meq/L ††
| -1.0 (6.0) | 0.985 | +1.0 (7.0) | 0.037* | 0.091 |
| Median change in serum calcium in mg/dL††
| +0.04 (0.8) | 0.136 | +0.1 (0.8) | 0.102 | 0.750 |
| Median change in serum phosphate in mg/dL††
| 0 (1.9) | 0.725 | -0.5 (1.45) | 0.047* | 0.263 |
† Average of consecutive values obtained 2 weeks before and after lockdown was imposed. †† Comparison between tests done within 1 month before and after lockdown was imposed. §P value for intragroup change in parameter before and after lockdown
Change in biochemical parameters between March 2019 and April 2019 in patients from the cohort who were on a similar dialysis schedule (n=49)
| Patients on thrice-weekly Dialysis (Median, IQR) |
| Patients on twice-weekly dialysis (Median, IQR) |
| ||
|---|---|---|---|---|---|
| Median change in hemoglobin in g/dL (IQR)† | +0.03 (1.4) | 0.135 | +0.1 (1.6) | 0.899 | 0.207 |
| Median change in serum sodium in meq/L† | -1.0 (4.0) | 0.027* | -1 (5.0) | 0.003* | 0.901 |
| Median change in serum potassium in meq/L† | +0.2 (0.75) | 0.126 | -0.2 (0.8) | 0.588 | 0.135 |
| Median change in serum bicarbonate in meq/L† | -1.5 (5.5) | 0.117 | 0 (5) | 0.613 | 0.490 |
| Median change in serum calcium in mg/dL† | -0.05 (0.58) | 0.241 | -0.1 (0.6) | 0.174 | 0.964 |
| Median change in serum phosphate in mg/dL† | 0.3 (1.58) | 0.404 | 0 (1.6) | 0.193 | 0.594 |
† Comparison between tests done in March 2019 and April 2019. § P value for intragroup change in parameter. Note: Data for interdialytic weight gain and predialysis systolic and diastolic blood pressure was not available for this time period
Figure 2Temporal association of various phases of the lockdown with COVID-19 infection incidence in the cohort