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1.
J Cardiopulm Rehabil Prev ; 39(4): 241-252, 2019 07.
Article in English | MEDLINE | ID: mdl-30870243

ABSTRACT

PURPOSE: To describe and discuss the available evidence in the literature concerning muscle function and the association between smoking and muscle dysfunction in smokers and patients with mild chronic obstructive pulmonary disease (COPD). METHODS: The literature search involved the following databases: PubMed, Pedro, CINAHL, Cochrane Library, Lilacs, and EMBASE. Studies were included if they investigated muscle strength and/or endurance and/or cross-sectional area (CSA) in smokers and/or patients with COPD classified as Global Initiative for Obstructive Lung Disease (GOLD) I and without lung cancer. Two authors screened and identified the studies for inclusion. RESULTS: Eighteen studies were identified. Some studies found lower values in a variety of muscle strength variables in smokers compared with nonsmoking controls, whereas others found similar values between these groups. When comparing patients with COPD classified as GOLD I with smokers, COPD patients showed lower muscle strength. Two studies found no differences in muscle CSA between smokers compared with nonsmoking controls. Some preliminary evidence also shows that patients with COPD classified as GOLD I had lower CSA in comparison with smokers. CONCLUSION: Results concerning muscle dysfunction in smokers are divergent, since some studies have shown worse results in a variety of muscle strength variables in smokers compared with nonsmoking controls, whereas other studies have not. Moreover, there is rather preliminary evidence indicating worse muscle dysfunction and lower CSA in patients with mild COPD in comparison with healthy (or non-COPD) smokers.


Subject(s)
Muscle Strength , Pulmonary Disease, Chronic Obstructive , Smoking/physiopathology , Humans , Muscle, Skeletal/physiopathology , Pulmonary Disease, Chronic Obstructive/diagnosis , Pulmonary Disease, Chronic Obstructive/physiopathology
2.
J Bras Pneumol ; 41(4): 305-12, 2015.
Article in English, Portuguese | MEDLINE | ID: mdl-26398750

ABSTRACT

OBJECTIVE: To compare equations for predicting peak quadriceps femoris (QF) muscle force; to determine the agreement among the equations in identifying QF muscle weakness in COPD patients; and to assess the differences in characteristics among the groups of patients classified as having or not having QF muscle weakness by each equation. METHODS: Fifty-six COPD patients underwent assessment of peak QF muscle force by dynamometry (maximal voluntary isometric contraction of knee extension). Predicted values were calculated with three equations: an age-height-weight-gender equation (Eq-AHWG); an age-weight-gender equation (Eq-AWG); and an age-fat-free mass-gender equation (Eq-AFFMG). RESULTS: Comparison of the percentage of predicted values obtained with the three equations showed that the Eq-AHWG gave higher values than did the Eq-AWG and Eq-AFFMG, with no difference between the last two. The Eq-AHWG showed moderate agreement with the Eq-AWG and Eq-AFFMG, whereas the last two also showed moderate, albeit lower, agreement with each other. In the sample as a whole, QF muscle weakness (< 80% of predicted) was identified by the Eq-AHWG, Eq-AWG, and Eq-AFFMG in 59%, 68%, and 70% of the patients, respectively (p > 0.05). Age, fat-free mass, and body mass index are characteristics that differentiate between patients with and without QF muscle weakness. CONCLUSIONS: The three equations were statistically equivalent in classifying COPD patients as having or not having QF muscle weakness. However, the Eq-AHWG gave higher peak force values than did the Eq-AWG and the Eq-AFFMG, as well as showing greater agreement with the other equations.


Subject(s)
Algorithms , Muscle Strength/physiology , Muscle Weakness/diagnosis , Pulmonary Disease, Chronic Obstructive/physiopathology , Quadriceps Muscle/physiopathology , Adiposity , Age Factors , Aged , Body Height , Body Mass Index , Body Weight , Cross-Sectional Studies , Female , Health Services Needs and Demand , Humans , Isometric Contraction/physiology , Knee/physiopathology , Male , Middle Aged , Muscle Strength Dynamometer/trends , Predictive Value of Tests , Respiratory Function Tests , Sex Factors
3.
J. bras. pneumol ; 41(4): 305-312, July-Aug. 2015. tab, ilus
Article in English | LILACS | ID: lil-759335

ABSTRACT

AbstractObjective: To compare equations for predicting peak quadriceps femoris (QF) muscle force; to determine the agreement among the equations in identifying QF muscle weakness in COPD patients; and to assess the differences in characteristics among the groups of patients classified as having or not having QF muscle weakness by each equation.Methods: Fifty-six COPD patients underwent assessment of peak QF muscle force by dynamometry (maximal voluntary isometric contraction of knee extension). Predicted values were calculated with three equations: an age-height-weight-gender equation (Eq-AHWG); an age-weight-gender equation (Eq-AWG); and an age-fat-free mass-gender equation (Eq-AFFMG).Results: Comparison of the percentage of predicted values obtained with the three equations showed that the Eq-AHWG gave higher values than did the Eq-AWG and Eq-AFFMG, with no difference between the last two. The Eq-AHWG showed moderate agreement with the Eq-AWG and Eq-AFFMG, whereas the last two also showed moderate, albeit lower, agreement with each other. In the sample as a whole, QF muscle weakness (< 80% of predicted) was identified by the Eq-AHWG, Eq-AWG, and Eq-AFFMG in 59%, 68%, and 70% of the patients, respectively (p > 0.05). Age, fat-free mass, and body mass index are characteristics that differentiate between patients with and without QF muscle weakness.Conclusions: The three equations were statistically equivalent in classifying COPD patients as having or not having QF muscle weakness. However, the Eq-AHWG gave higher peak force values than did the Eq-AWG and the Eq-AFFMG, as well as showing greater agreement with the other equations.


ResumoObjetivo:Comparar diferentes fórmulas de predição do pico de força muscular do quadríceps femoral (QF); investigar a concordância entre elas para identificar fraqueza muscular de QF em pacientes com DPOC; e verificar as diferenças nas características nos grupos de pacientes classificados com presença ou ausência dessa fraqueza de acordo com cada fórmula.Métodos: Cinquenta e seis pacientes com DPOC foram avaliados quanto ao pico de força muscular do QF por dinamometria (contração isométrica voluntária máxima de extensão de joelho). Os valores preditos foram calculados com três fórmulas: uma fórmula composta por idade-altura-peso-gênero (F-IAPG); uma por idade-peso-gênero (F-IPG); e uma por idade-massa magra-gênero (F-IMMG).Resultados: A comparação da porcentagem do predito obtida pelas fórmulas mostrou a F-IAPG com maiores valores do que os valores de F-IPG e F-IMMG, sem diferença entre as duas últimas. A F-IAPG apresentou concordância moderada com F-IPG e F-IMMG, enquanto essas últimas também apresentaram concordância moderada, mas menor, entre si. Do total de pacientes, a fraqueza muscular de QF (< 80% do predito) foi identificada por F-IAPG, F-IPG e F-IMMG em 59%, 68% e 70% dos pacientes, respectivamente (p > 0,05). Idade, massa magra e índice de massa corpórea são características que diferenciam pacientes com e sem fraqueza muscular de QF.Conclusões: As três fórmulas foram estatisticamente equivalentes para classificar pacientes com DPOC como portadores ou não de fraqueza muscular de QF. Entretanto, a F-IAPG apresentou maiores valores de pico de força do que F-IPG e F-IMMG, assim como maior concordância com as outras fórmulas.


Subject(s)
Aged , Female , Humans , Male , Middle Aged , Algorithms , Muscle Strength/physiology , Muscle Weakness/diagnosis , Pulmonary Disease, Chronic Obstructive/physiopathology , Quadriceps Muscle/physiopathology , Adiposity , Age Factors , Body Height , Body Mass Index , Body Weight , Cross-Sectional Studies , Health Services Needs and Demand , Isometric Contraction/physiology , Knee/physiopathology , Muscle Strength Dynamometer/trends , Predictive Value of Tests , Respiratory Function Tests , Sex Factors
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