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Exploring the use of ''Protocollo di Minima per l'ictus - PMIC'': preliminary data in two Italian rehabilitation
L Pratesi1, S Paolucci, M Albuzza
1IRCCS Santa Lucia Foundation, Rome, Italy. l.pratesi@santalucia.it
Aim:
This study was designed associated to evaluate applicability of ''Protocollo di Minima per l'ictus PMIC'' in Italian rehabilitative units, and to collect preliminary data
Methods:
The authors evaluated, by means of PMIC, stroke patients admitted to rehabilitative unit of both IRCCS Santa Lucia Foundation, Rome and Sant'Agostino Estense New Civil Hospital, Baggiovara, Modena for sequelae of their first-ever event. Multiple regression analyses (backward selection) were then performed to identify variables with discharge functional status (Barthel Index [BI] and Functional Ambulation Category [FAC] score) and rehabilitation effectiveness (on BI and FAC), and logistic regression to quantify the probability of reaching a discharge BI score > or = 70 and FAC score > or = 4.
Results:
Sample included 94 patients with recent stroke (onset-admission interval 12.68+/-16.09 days). Mean time of evaluation for each case was 16.15+/-1.43 minutes. Increasing age, sex, degree of basal impairment and disability confirmed to be reliable prognostic factors.
Conclusion:
Recording data of patients admitted to rehabilitative hospital according to PMIC, is easy, quick and enough exhaustive.
Insights
The Protocollo di Minima per l'ictus (PMIC) is an effective tool for assessing stroke patients in Italian rehabilitation units. Data collection is quick, easy, and comprehensive, aiding in prognosis.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Clinical Research
Background:
- Stroke rehabilitation requires effective assessment tools.
- The Protocollo di Minima per l'ictus (PMIC) was developed for stroke patient evaluation.
- Applicability of PMIC in Italian rehabilitative settings needed validation.
Purpose of the Study:
- To evaluate the applicability of the PMIC in Italian rehabilitation units.
- To collect preliminary data on stroke patient outcomes using PMIC.
- To identify prognostic factors for functional status and rehabilitation effectiveness.
Main Methods:
- A cohort of 94 recent stroke patients were assessed using PMIC.
- Multiple regression analyses identified predictors of discharge functional status (Barthel Index, Functional Ambulation Category).
- Logistic regression quantified the probability of achieving specific functional outcome scores.
Main Results:
- Increasing age, sex, and baseline impairment were significant prognostic factors.
- The evaluation process using PMIC took an average of 16.15 minutes per patient.
- PMIC data collection was found to be easy, quick, and sufficiently exhaustive.
Conclusions:
- The PMIC protocol is applicable and effective in Italian stroke rehabilitation units.
- PMIC facilitates efficient data collection for assessing stroke patients.
- The study provides preliminary data supporting the use of PMIC for prognostic evaluation.
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