Congestive Heart Failure Predicts Major Complications and Increased Length of Stay in Lower Extremity Pedicled Flap Reconstruction

Clinical utility of the modified frailty index in predicting adverse outcomes in patients undergoing lower extremity free flap reconstruction

BACKGROUND

Identifying at-risk patients for complications remains challenging in patients with chronic lower extremity (LE) wounds receiving free tissue transfer (FTT) for limb salvage. The modified-5 frailty index (mFI-5) has been utilized to predict postoperative complications, yet it has not been studied in this population. The aim of this study was to determine the utility of the mFI-5 in predicting adverse postoperative outcomes.

METHODS

Patients ≥60 years, who underwent LE FTT reconstruction at a single institution from 2011 to 2022, were retrospectively reviewed. Patient characteristics, mFI-5, and postoperative outcomes were collected. Cohorts were divided by an mFI-5 score of <2 or ≥2.

RESULTS

A total of 115 patients were identified, of which 71.3% (n = 82) were male, 64.3% (n = 74) had a mFI-5 score of ≥2, and 35.7% (n = 41) had a score <2. The average age and body mass index were 67.8 years and 28.7 kg/m2 , respectively. The higher mFI-5 cohort had lower baseline albumin levels (3.0 vs. 4.0 g/dL, p = .015) and higher hemoglobin A1c levels (7.4 vs. 5.8%, p < .001). The postoperative length of stay was longer in the higher mFI-5 cohort (18 vs. 13.4 days, p = .003). The overall flap success was 96.5% (n = 111), with no difference between cohorts (p = .129). Postoperative complications were comparable between cohorts (p = .294). At a mean follow-up of 19.8 months, eight patients (7.0%) underwent amputation, and 91.3% (n = 105) were ambulatory.

CONCLUSION

High microsurgical success rates can be achieved in comorbid patients with high frailty indexes who undergo FTT for limb salvage. A multidisciplinary team approach may effectively mitigate negative outcomes in elderly, frail patients.

Heart Failure Relapses in Response to Acute Stresses - Role of Immunological and Inflammatory Pathways

Cardiovascular diseases continue to be the most imminent health care problems in the western world, accounting for numerous deaths per year. Heart failure (HF), namely the reduction of left ventricular function, is one of the major cardiovascular disease entities. It is chronically progressing with relapsing acute decompensations and an overall grave prognosis that is little different if not worse than most malignant diseases. Interestingly acute metabolically and/or immunologically challenging events like infections or major surgical procedures will cause relapses in the course of preexisting chronic heart failure, decrease the patients wellbeing and worsen myocardial function. HF itself and or its progression has been demonstrated to be driven at least in part by inflammatory pathways that are similarly turned on by infectious or non-infectious stress responses. These thus add to HF progression or relapse. TNF-α plasma levels are associated with disease severity and progression in HF. In addition, several cytokines (e.g., IL-1β, IL-6) are involved in deteriorating left ventricular function. Those observations are based on clinical studies using inhibitors of cytokines or their receptors or they stem from animal studies examining the effect of cytokine mediated inflammation on myocardial remodeling in models of heart failure. This short review summarizes the known underlying immunological processes that are shared by and drive all: chronic heart failure, select infectious diseases, and inflammatory stress responses. In conclusion the text provides a brief summary of the current development in immunomodulatory therapies for HF and their overlap with treatments of other disease entities.

An improved predictive model for postoperative pulmonary complications after free flap reconstructions in the head and neck

BACKGROUND

Commonly used predictive models for postoperative pulmonary complications (PPCs) do not perform when applied to head and neck cases. A head and neck-specific risk prediction tool is needed.

METHODS

Data on 794 free flap head and neck surgery cases at a single center were abstracted from the electronic medical record. Each case was reviewed for the development of PPCs. A predictive model was developed and was then compared to existing predictive models for PPCs.

RESULTS

The least absolute shrinkage and selection operator procedure identified age, alcohol use, history of congestive heart failure, preoperative packed cell volume, preoperative oxygen saturation, and preoperative metabolic equivalents as predictors of PPCs in the head and neck population. The model demonstrated an area under the receiving operating characteristic curve of 0.75 (0.69-0.80) with moderately good calibration. Comparisons to the performance of existing models demonstrate superior performance.

CONCLUSIONS

The model for the development of PPCs developed in this article displays superior performance to existing models.