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| 1 | +# Patient C — Therapy-Discussion Vignette (2026-04-22) |
| 2 | + |
| 3 | +> **Operational triage report (Stream B).** Every recommendation is a |
| 4 | +> *conversation starter* for clinician/patient review — not an autonomous |
| 5 | +> setting change. Per the safety memory (EXP-2738): **the gap between |
| 6 | +> scheduled and delivered insulin often IS the controller's safety |
| 7 | +> margin.** Lowering settings to "match" the gap can increase |
| 8 | +> hypoglycemia. |
| 9 | +
|
| 10 | +## Summary |
| 11 | + |
| 12 | +| Metric | Value | |
| 13 | +|--------|------:| |
| 14 | +| Observation window | 180 days | |
| 15 | +| Mean glucose | 162 mg/dL | |
| 16 | +| GMI (eA1c estimate) | **7.2 %** | |
| 17 | +| Coefficient of variation | 43% (target <36%) | |
| 18 | +| Time in range (70–180) | **51%** (target ≥70%) | |
| 19 | +| Time below range (<70) | 3.9% (target <4%) | |
| 20 | +| Time very low (<54) | 1.29% (target <1%) | |
| 21 | +| Time above range (>180) | 28% (target <25%) | |
| 22 | +| Time very high (>250) | 10% (target <5%) | |
| 23 | +| Carb-log quality | 2.2 events/day · 95% ≥10 g (**clean log**) | |
| 24 | +| Median scheduled basal | 1.40 U/h | |
| 25 | +| Median delivered basal | 0.00 U/h | |
| 26 | + |
| 27 | +## Glycemic profile |
| 28 | + |
| 29 | + |
| 30 | + |
| 31 | + |
| 32 | + |
| 33 | +**Read:** TIR is just above 50% — clinically meaningful improvement |
| 34 | +target. CV 43% (>36%) suggests glycemic instability is the |
| 35 | +dominant driver, not just elevated mean. |
| 36 | + |
| 37 | +## Bootstrap-confident audition signals |
| 38 | + |
| 39 | + |
| 40 | + |
| 41 | +| Signal | P | Tier | Source | |
| 42 | +|--------|--:|------|--------| |
| 43 | +| **flat_low_recovery** | — | high | matrix | |
| 44 | +| **isf_over_correction** | — | medium | matrix | |
| 45 | +| **site_degradation** | — | low | matrix | |
| 46 | +| **post_high_envelope** | — | medium | matrix | |
| 47 | +| **basal_mismatch** | — | high | matrix | |
| 48 | + |
| 49 | +**Raw bootstrap probabilities:** |
| 50 | + |
| 51 | +| Signal | P | Source | |
| 52 | +|---|---:|---| |
| 53 | +| Basal mismatch | 1.00 | EXP-2869 🔴 high | |
| 54 | +| ISF over-correction | 1.00 | EXP-2861 🔴 high | |
| 55 | +| Low recovery | 1.00 | EXP-2862 🔴 high | |
| 56 | +| Post-high envelope | 1.00 | EXP-2864 🔴 high | |
| 57 | +| Site degradation | 0.39 | EXP-2863 🟠 boundary | |
| 58 | +| ISF under-correction | 0.00 | EXP-2861 ⬜ clean | |
| 59 | +| Simpson paradox | 0.00 | EXP-2859 ⬜ clean | |
| 60 | + |
| 61 | + |
| 62 | +## The story (4 high-confidence signals point to one mechanism) |
| 63 | + |
| 64 | +Patient C shows a **coherent over-aggressive-basal cascade**: |
| 65 | + |
| 66 | +1. **Basal mismatch (P=1.00, mult=0.00):** |
| 67 | + in fasting equilibrium the controller delivers ~0% of the scheduled |
| 68 | + basal — it is suspending almost continuously to defend against the |
| 69 | + schedule. |
| 70 | + |
| 71 | +2. **ISF over-correction (P=1.00):** when |
| 72 | + the controller does correct, BG drops more than the ISF predicts |
| 73 | + (over-correction). This is consistent with the basal already being |
| 74 | + "too much" — additional bolus drops too far. |
| 75 | + |
| 76 | +3. **Low recovery (P=1.00):** after a low, |
| 77 | + recovery to 100 mg/dL within 60 minutes is rare — also consistent |
| 78 | + with continuous basal pressure. |
| 79 | + |
| 80 | +4. **Post-high envelope (P=1.00):** after |
| 81 | + a high, BG sustains above target without a quick recovery — the |
| 82 | + wide IQR (110–203) confirms oscillation rather than tight control. |
| 83 | + |
| 84 | +## Conversation starters for clinic review |
| 85 | + |
| 86 | +> ⚠️ **Do not change settings autonomously.** These are hypotheses for |
| 87 | +> the clinician to discuss with the patient. |
| 88 | +
|
| 89 | +### 1. Review basal schedule |
| 90 | +The 4 signals above are individually noisy but jointly point to |
| 91 | +**scheduled basal being too high**. Recommended discussion: |
| 92 | +- Audit overnight TBR pattern (figure 1, hours 0–6). |
| 93 | +- Consider: was the basal schedule last reviewed? Has weight, |
| 94 | + activity, or insulin sensitivity changed? |
| 95 | +- A **conservative trial** of a 5–10% basal reduction (clinician- |
| 96 | + supervised) tests the hypothesis safely. The controller's 0% |
| 97 | + delivery suggests there is room. |
| 98 | + |
| 99 | +### 2. Review ISF (correction factor) |
| 100 | +Over-correction (P=1.00) on top of an already-suppressed basal |
| 101 | +suggests ISF may be too aggressive. Discuss whether to **soften ISF |
| 102 | +by 10–15%** as a paired adjustment with #1. |
| 103 | + |
| 104 | +### 3. Investigate post-high recovery |
| 105 | +P=1.00 for sustained post-high envelope. Discussion points: |
| 106 | +- Is bolus timing pre-meal (not at meal start)? |
| 107 | +- Are corrections being delivered at high BG, or is the patient |
| 108 | + waiting for the controller alone? |
| 109 | + |
| 110 | +### 4. Site rotation (low-confidence) |
| 111 | +Site-degradation P=0.39 (boundary, not |
| 112 | +confirmed). Worth asking about rotation cadence but not a primary |
| 113 | +finding. |
| 114 | + |
| 115 | +## Carb-log quality (no concern) |
| 116 | + |
| 117 | + |
| 118 | + |
| 119 | +Patient C's log is clean: 95% of events ≥10 g, only 3% are <5 g |
| 120 | +(treat-of-low / noise). The audition signals are **not** confounded |
| 121 | +by data-quality issues for this patient. |
| 122 | + |
| 123 | +## Basal pattern detail |
| 124 | + |
| 125 | + |
| 126 | + |
| 127 | +The black line is the patient's scheduled basal across the day; the |
| 128 | +red band is what the controller actually delivered (P25–P75). The |
| 129 | +controller is **continuously suppressing** delivery across all hours |
| 130 | +— most pronounced during the afternoon/evening peak hours of the |
| 131 | +schedule. |
| 132 | + |
| 133 | +## Post-meal excursion examples |
| 134 | + |
| 135 | + |
| 136 | + |
| 137 | +Six largest real meals in the dataset, plotted ±1 hr / +4 hr from the |
| 138 | +meal time. These illustrate the high variance in meal response that |
| 139 | +drives the wide IQR in the AGP. |
| 140 | + |
| 141 | +## Methodology |
| 142 | + |
| 143 | +* All audition signals computed from production loaders |
| 144 | + (`tools/cgmencode/production/*_facts_loader.py`). |
| 145 | +* Bootstrap confidence (P) computed per the EXP-2859/2861/2862/2863/ |
| 146 | + 2864/2869 protocols. |
| 147 | +* Carb-event quality assessed against the EXP-2866 conventions |
| 148 | + (`meal_filter.py`). |
| 149 | +* Source data: `externals/ns-parquet/training/grid.parquet`, |
| 150 | + patient_id = `c`, 51,841 rows, 180 days. |
| 151 | + |
| 152 | +## Caveats |
| 153 | + |
| 154 | +* **Not medical advice.** Audition signals are statistical patterns; |
| 155 | + every recommendation must be filtered through the clinician's |
| 156 | + judgment and the patient's full history. |
| 157 | +* **Stream B operational, not Stream A causal.** These signals describe |
| 158 | + *what the controller is doing*, not *what biological ISF/basal |
| 159 | + needs are*. The closed-loop system response is observed; the |
| 160 | + underlying biology is inferred only loosely. |
| 161 | +* **Per EXP-2738**: the basal-mismatch gap IS the EGP safety margin |
| 162 | + the controller needs. The recommended trial reduction (5–10%) is |
| 163 | + much smaller than the observed multiplier (~0%) because the gap is |
| 164 | + protective. |
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