Callum Taylor
2023-02-07
Critical Illness Is Common In Colorectal Cancer
Both Critical Illness and Colorectal Cancer Impact Survival, Physical Function, and Quality of Life
We Don’t Know: How Critical Illness affects Cancer Treatment and Outcomes
“Impact of Critical Illness on Subsequent Cancer Care and Outcomes, in Patients With Colorectal Cancer”
| Demographics |
|---|
| Age |
| Sex |
| SIMD/CARSTAIRS |
| Comorbidities |
| Frailty |
| Diagnosis Method |
| QPI | QPI | QPI |
|---|---|---|
| Diagnosis/Staging | Pre-Op Imaging | Stoma Care |
| MDT | Lymph Node | Radiotherapy |
| Surgical Margins | Re-Operation | Dehiscence |
| Post Op Mortality | Adjuvant Chemo | Post SACT Mortality |
| Clinical Trials | Liver Mets |
| Outcome |
|---|
| Time To Start Systemic Anti-Cancer Therapy |
| Duration of Systemic Anti-Cancer Course |
| Intent of SACT (Curative Vs Palliative) |
| Form of SACT (Regimen) |
| Outcome |
|---|
| Survival |
| Place of Death |
| Burden of Healthcare |
| Days Alive and At Home |
| Pain |
| Mental Health |
| Nutritional Support |
| Change in Accomodation |
Start 2006 -> End 2018
38,396 Patients With Colorectal Cancer
18,672 (49%) Admn To Critical Care
15584 No Organ Support (Med LoS: 3 days)
3088 (8%) Organ Support (Med LoS: 5 days)
| Outcome | Form Of Outcome | Statistical Technique |
|---|---|---|
| Time To Start Systemic Anti-Cancer Therapy | Count (Days) | Negative Binomial Regression |
| Duration of Systemic Anti-Cancer Course | Count (Days) | Negative Binomial Regression |
| SACT Toxicity | Binary Categorical | Log-Binomial Regression |
| Intent of SACT (Curative Vs Palliative) | Binary Categorical | Log-Binomial Regression |
| Form of SACT (Regimen) | Non-Ordered Categorical | Multinomial Logistic Regression |
| Outcome | Notes | Form Of Outcome | Statistical Technique |
|---|---|---|---|
| Survival | Time To Event | Cox Proportional Hazards Modelling | |
| Frailty | Modified Frailty Index | Ordinal Categorical | Multinomial Logistic Regression |
| Place of Death | Non Ordinal Categorical | Multinomial Logistic Regression | |
| Burden of Healthcare | Number of Hospital and Clinic Visits | Count (Visits) | Negative Binomial Regression |
| Days Alive and At Home | Total Time Alive - Time Spent in Hospital As Inpatient | Count (Days) | Negative Binomial Regression |
| Pain | Prescription data | Ordinal Categorical | Cumulative Linked Modelling |
| Mental Health | Prescription data | Non Ordinal Categorical | Multinomial Logistic Regression |
| Nutritional Support | Prescription data | Binary Categorical | Log-Binomial Regression |