Year-by-Year Activity & Early Mortality
2012 → 2026. Live query onptdatacomplete.
Generated: 2026-09-21 23:15
New patients 2012–2026
535
Deaths in period
305
Died < 3 months (of new)
7.85 %
42 patients
Died < 1 year (of new)
20.75 %
111 patients
Patients on programme vs new starters vs deaths, per year
Early deaths per year (counts)
Early mortality as % of new starters, per year
Automatic analysis
Period analysed: 2012–2026. 535 new patients started; 305 died.
Suggested action: Use this as the baseline context for every other parameter page in the unit.
Overall 7.85% of new patients died within 3 months (42 of 535).
Suggested action: Above the ~2–3% seen in mature programmes with planned starts. Review pre-dialysis education and access-at-initiation rates.
Overall 20.75% of new patients died within the first year (111 of 535).
Suggested action: First-year mortality dominates. Priorities: planned AVF before initiation, catheter avoidance, structured 3/6/12-month reviews, and closer comorbidity management.
New-patient intake is stable (-1 per year difference).
Suggested action: No capacity change required from this signal alone.
First-year mortality worsened by 8.86 percentage points.
Suggested action: Review comorbidity and referral patterns; investigate whether recent starters are older or more frail.
Note: 0 and 0 are counted in two separate loops, so a death at exactly 90 or 365 days is only counted in one bucket — fine. But death dates before start dates (negative DATEDIFF) are silently dropped by the y > 0 check.
Suggested action: If the yearly death count (305) differs from your register, check for EOT < SOT data-entry errors.
What this page measures
- Patients from previous years — long-term cohort still under care at the start of the year.
- New patients — started dialysis that year (SOT).
- Total patients — prevalence (previous + new).
- Deaths — patients whose EOT fell in that year.
- Deaths < 3 months and < 1 year — early mortality, the most actionable quality signal.
- % columns — early-mortality rate per year, normalised to new starters.
Why it matters for planning
- Prevalence trend — tells you when to add stations, machines and staff.
- Incidence trend — tells you whether upstream prevention is working.
- Early-mortality trend — tells you whether the transition-to-dialysis pathway is improving.
- Deaths vs total — the crude annual mortality, useful for benchmarking against your national registry.
- Separating incidence from prevalence is what makes capacity planning honest — a growing total with a falling incidence means better survival, not more disease.
Action plan — review every 6 months
- Early-mortality audit. For each death < 90 days: referral timing, start mode (planned/emergency), access at initiation, cause of death. Feed findings back to referring nephrologists.
- Planned-start rate. Aim for > 60% of new starters beginning with a functioning AVF. Track monthly alongside this page.
- Capacity forecast. Use the prevalence line to project stations and nursing needs for the next 3 years.
- Upstream prevention. If new-patient intake is rising, collaborate with GPs on diabetes, hypertension and proteinuria screening.
- Benchmark. Compare your first-year mortality and crude annual mortality against your national renal registry — the numbers mean nothing in isolation.
- Data hygiene. Reject rows where EOT < SOT or EOT missing but state = 'Dead', so yearly counts stay trustworthy.
Year-by-year table
| Year | Prev. years | New | Total | Deaths | Died < 3 mo | Died < 1 yr | % 3 mo / new | % < 1 yr / new | % < 1 yr / deaths | % total deaths |
|---|---|---|---|---|---|---|---|---|---|---|
| 2012 | 38 | 9 | 47 | 5 | 0 | 0 | 0% | 0% | 0% | 10.64% |
| 2013 | 41 | 32 | 73 | 3 | 0 | 0 | 0% | 0% | 0% | 4.11% |
| 2014 | 70 | 44 | 114 | 23 | 6 | 12 | 13.64% | 27.27% | 52.17% | 20.18% |
| 2015 | 76 | 31 | 107 | 19 | 0 | 5 | 0% | 16.13% | 26.32% | 17.76% |
| 2016 | 79 | 27 | 106 | 6 | 0 | 1 | 0% | 3.7% | 16.67% | 5.66% |
| 2017 | 97 | 38 | 135 | 20 | 3 | 7 | 7.89% | 18.42% | 35% | 14.81% |
| 2018 | 101 | 30 | 131 | 19 | 0 | 3 | 0% | 10% | 15.79% | 14.5% |
| 2019 | 110 | 39 | 149 | 24 | 4 | 10 | 10.26% | 25.64% | 41.67% | 16.11% |
| 2020 | 117 | 41 | 158 | 35 | 4 | 12 | 9.76% | 29.27% | 34.29% | 22.15% |
| 2021 | 114 | 56 | 170 | 32 | 6 | 11 | 10.71% | 19.64% | 34.38% | 18.82% |
| 2022 | 117 | 67 | 184 | 36 | 6 | 18 | 8.96% | 26.87% | 50% | 19.57% |
| 2023 | 126 | 39 | 165 | 29 | 7 | 11 | 17.95% | 28.21% | 37.93% | 17.58% |
| 2024 | 118 | 39 | 157 | 18 | 5 | 9 | 12.82% | 23.08% | 50% | 11.46% |
| 2025 | 133 | 39 | 172 | 31 | 1 | 12 | 2.56% | 30.77% | 38.71% | 18.02% |
| 2026 | 135 | 4 | 139 | 5 | 0 | 0 | 0% | 0% | 0% | 3.6% |
| Totals 2012–2026 | 535 | 305 | 42 | 111 | 7.85% | 20.75% | 15.2% | |||