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1.
Med Clin (Engl Ed) ; 160(8): 347-351, 2023 Apr 21.
Article in English | MEDLINE | ID: mdl-37128500

ABSTRACT

Introduction: Post-COVID olfactory dysfunction continues to be studied due to the controversy of the mechanisms involved. The aim was to investigate the olfactory dysfunctions in association with other post-COVID symptoms. Material and methods: Observational, descriptive and single-center study. The patients had confirmed mild COVID-19 and subjective olfactory dysfunction of more than a month of evolution, which was assessed by Sniffin' Sticks Olfactory Test. Results: A total of 86 patients participated. The mean age was 37.2 years (SD 9.82). 70.9% reported parosmia and 46.5% symptoms of brain fog. A pathological test result was obtained in 72.1% of the participants. The most failed pen was 11 (apple) in 76.7%. Anosmia of pen 15 (anise) was reported more frequently in 24.4% and cacosmia of pen 9 (garlic) in 27.9%. We observed a significant association between patients who reported parosmias and brain fog (RR 2.18; p = 0.018), also between parosmia and phantosmia (RR 6.042; p < 0.001). Conclusion: There is some pathological selectivity for certain test pens, a higher prevalence of cognitive symptoms and many patients with combined parosmia and brain fog.


Introducción: La alteración olfatoria post-COVID continúa en estudio por la controversia sobre los mecanismos implicados. El objetivo de este estudio es caracterizar las alteraciones olfatorias y su relación con otros síntomas post-COVID. Material y métodos: Estudio unicéntrico, observacional y descriptivo. Los pacientes tuvieron infección por COVID-19 leve confirmada y disfunción olfatoria subjetiva de más de un mes de evolución, evaluada con el Sniffin' Sticks Olfatory Test. Resultados: Se seleccionaron 86 pacientes. La edad media fue de 37,2 años (DE 9,82). El 70,9% refirieron parosmia y el 46,5% niebla mental. Se obtuvo un test patológico en el 72,1% de los participantes. El lápiz más fallado fue el número 11 (manzana), en el 76,7%. La anosmia fue reportada más frecuentemente con el lápiz 15 (anís) y la cacosmia con el lápiz 9 (ajo) en el 27,9%. Observamos una asociación significativa entre pacientes que refieren parosmias y niebla mental (RR 2,18; p = 0,018) y entre parosmia y fantosmia (RR 6,042; p < 0,001). Conclusión: Se observa anosmia y cacosmia selectiva para algunos olores testados. Hay una alta prevalencia de síntomas cognitivos, más frecuentes en pacientes con parosmia.

2.
Med. clín (Ed. impr.) ; 160(8): 347-351, abril 2023. ilus, tab, graf
Article in English | IBECS | ID: ibc-219095

ABSTRACT

Introduction: Post-COVID olfactory dysfunction continues to be studied due to the controversy of the mechanisms involved. The aim was to investigate the olfactory dysfunctions in association with other post-COVID symptoms.Material and methodsObservational, descriptive and single-center study. The patients had confirmed mild COVID-19 and subjective olfactory dysfunction of more than a month of evolution, which was assessed by Sniffin’ Sticks Olfactory Test.ResultsA total of 86 patients participated. The mean age was 37.2 years (SD 9.82). 70.9% reported parosmia and 46.5% symptoms of brain fog. A pathological test result was obtained in 72.1% of the participants. The most failed pen was 11 (apple) in 76.7%. Anosmia of pen 15 (anise) was reported more frequently in 24.4% and cacosmia of pen 9 (garlic) in 27.9%. We observed a significant association between patients who reported parosmias and brain fog (RR 2.18; p=0.018), also between parosmia and phantosmia (RR 6.042; p<0.001).ConclusionThere is some pathological selectivity for certain test pens, a higher prevalence of cognitive symptoms and many patients with combined parosmia and brain fog. (AU)


Introducción: La alteración olfatoria post-COVID continúa en estudio por la controversia sobre los mecanismos implicados. El objetivo de este estudio es caracterizar las alteraciones olfatorias y su relación con otros síntomas post-COVID.Material y métodosEstudio unicéntrico, observacional y descriptivo. Los pacientes tuvieron infección por COVID-19 leve confirmada y disfunción olfatoria subjetiva de más de un mes de evolución, evaluada con el Sniffin’ Sticks Olfatory Test.ResultadosSe seleccionaron 86 pacientes. La edad media fue de 37,2 años (DE 9,82). El 70,9% refirieron parosmia y el 46,5% niebla mental. Se obtuvo un test patológico en el 72,1% de los participantes. El lápiz más fallado fue el número 11 (manzana), en el 76,7%. La anosmia fue reportada más frecuentemente con el lápiz 15 (anís) y la cacosmia con el lápiz 9 (ajo) en el 27,9%. Observamos una asociación significativa entre pacientes que refieren parosmias y niebla mental (RR 2,18; p=0,018) y entre parosmia y fantosmia (RR 6,042; p<0,001).ConclusiónSe observa anosmia y cacosmia selectiva para algunos olores testados. Hay una alta prevalencia de síntomas cognitivos, más frecuentes en pacientes con parosmia. (AU)


Subject(s)
Humans , Severe acute respiratory syndrome-related coronavirus , Coronavirus Infections/epidemiology , Olfaction Disorders/diagnosis , Olfaction Disorders/epidemiology , Olfaction Disorders/etiology
3.
Med Clin (Barc) ; 160(8): 347-351, 2023 04 21.
Article in English, Spanish | MEDLINE | ID: mdl-36670030

ABSTRACT

INTRODUCTION: Post-COVID olfactory dysfunction continues to be studied due to the controversy of the mechanisms involved. The aim was to investigate the olfactory dysfunctions in association with other post-COVID symptoms. MATERIAL AND METHODS: Observational, descriptive and single-center study. The patients had confirmed mild COVID-19 and subjective olfactory dysfunction of more than a month of evolution, which was assessed by Sniffin' Sticks Olfactory Test. RESULTS: A total of 86 patients participated. The mean age was 37.2 years (SD 9.82). 70.9% reported parosmia and 46.5% symptoms of brain fog. A pathological test result was obtained in 72.1% of the participants. The most failed pen was 11 (apple) in 76.7%. Anosmia of pen 15 (anise) was reported more frequently in 24.4% and cacosmia of pen 9 (garlic) in 27.9%. We observed a significant association between patients who reported parosmias and brain fog (RR 2.18; p=0.018), also between parosmia and phantosmia (RR 6.042; p<0.001). CONCLUSION: There is some pathological selectivity for certain test pens, a higher prevalence of cognitive symptoms and many patients with combined parosmia and brain fog.


Subject(s)
COVID-19 , Olfaction Disorders , Adult , Humans , COVID-19/complications , Olfaction Disorders/diagnosis , Olfaction Disorders/epidemiology , Olfaction Disorders/etiology , Prevalence , Smell
5.
Mov Disord Clin Pract ; 9(8): 1085-1093, 2022 Nov.
Article in English | MEDLINE | ID: mdl-36339297

ABSTRACT

Background: Dopamine replacement therapy reduces most motor and nonmotor features of Parkinson's disease. However, with disease progression, adjustments of dopaminergics and the application of advanced therapies must be considered. Objectives: To validate the OPTIMIPARK questionnaire as a tool to help clinicians make therapeutic decisions on patients treated with levodopa. Methods: We tested a questionnaire including 9 items encompassing motor and nonmotor signs, complications, and disability in a multicenter, observational, cross-sectional study. A neurologist (neurologist 1 [N1]) assessed patients according to regular clinical practice and blinded to the OPTIMIPARK questionnaire score. Therapeutic decisions were classified as "no changes," "adjustment of conventional treatment," and "advanced therapy indicated." External neurologists (neurologist 3 [N3] and neurologist 4 [N4]), who only knew the patient age, years of disease, and current treatment, made their therapeutic decisions based on the OPTIMIPARK score. Concordance between the criterion of the N1 versus the OPTIMIPARK-based N3-N4 consensus was analyzed applying weighted κ. The area under Receiving Operating Characteristic (ROC) curves was calculated for OPTIMIPARK scores. Results: A total of 113 patients with Parkinson's disease were included. The OPTIMIPARK-based decision led to a higher proportion of patients requiring therapeutic modification than N1 assessment (74% vs. 60%; P = 0.002). Concordance between the N1 and N3-N4 decisions was moderate, whereas interobserver agreement among N3 and N4 was high. Area Under the Curve(AUC) values of 0.83 and 0.82 were found for "no changes" and "advanced therapy indicated" decisions by the N1 neurologist. Conclusions: OPTIMIPARK might be more sensitive than regular clinical practice in suggesting the need for a therapeutic change. Furthermore, the low and high scores identify with high accuracy well-adjusted patients and candidates for advanced therapy, respectively.

9.
Enferm. infecc. microbiol. clín. (Ed. impr.) ; 35(4): 220-228, abr. 2017. graf, tab
Article in Spanish | IBECS | ID: ibc-162742

ABSTRACT

OBJETIVOS: Analizar y comparar los factores predictivos de meningitis bacteriana (MB) en los pacientes que acuden al servicio de urgencias (SU) por un episodio de meningitis aguda (MA). MÉTODOS: Estudio observacional y prospectivo de pacientes adultos (≥15años) diagnosticados de MA en un SU desde agosto de 2009 hasta noviembre de 2015. Se analizaron 32 variables (epidemiológicas, de comorbilidad, clínicas y analíticas) que pudieran predecir etiología bacteriana. Se realizó un estudio multivariable mediante regresión logística. RESULTADOS: Se incluyó a 154 pacientes, de los que 53 (34,4%) fueron MB. Cuatro variables se asociaron de forma significativa como predictores de etiología bacteriana: lactato en líquido cefalorraquídeo (LCR) ≥33mg/dl (odds ratio [OR]: 50,84; intervalo de confianza [IC] al 95%: 21,63-119,47; p < 0,001); procalcitonina (PCT) sérica ≥0,8ng/ml (OR: 46,34; IC95%: 19,71-108,89; p < 0,001), glucorraquia <60% de la glucemia (OR: 20,82; IC95%: 8,86-48,96; p = 0,001), proporción de polimorfonucleares (PMN) en LCR >50% (OR: 20,19; IC 95%: 8,31-49,09; p = 0,002). El área bajo la curva-ROC del modelo (PCT≥0,8ng/ml+lactato en LCR ≥33mg/dl) fue 0,992 (IC95%: 0,979-1; p < 0,001) y consigue una sensibilidad del 99% y una especificidad del 98% para predecir MB. CONCLUSIONES: La PCT sérica, junto con la valoración del lactato, glucorraquia y proporción de PMN del LCR en la evaluación inicial del paciente con sospecha de MA en el SU, tienen un excelente rendimiento diagnóstico para predecir la MB


OBJECTIVES: To analyse and compare predictive factors of bacterial meningitis in the patients seen in the Emergency Departments (ED) due to an episode of acute meningitis (AM). METHODS: A prospective, observational study was carried out in patients aged 15 years and older seen in ED due to AM between August 2009 and November 2015. Thirty-two variables for predicting bacterial meningitis were assessed. They covered epidemiological, comorbidity, clinical and analytical factors. Multivariate logistic regression analysis was performed. RESULTS: The study included 154 patients. The diagnosis was bacterial meningitis in 53 (34.4%) patients. Four variables were significantly associated with bacterial aetiology: cerebrospinal fluid (CSF) lactate concentration ≥33mg/dl (odds ratio [OR] 50.84; 95% confidence interval [CI]: 21.63-119.47, P<.001), serum procalcitonin (PCT) ≥0.8ng/ml (OR 46.34; 95%CI: 19.71-108.89; P<.001), CSF glucose <60% of blood value (OR 20.82; 95%CI: 8.86-48.96; P=.001), CSF polymorphonuclears greater than 50% (OR 20.19; 95%CI: 8.31-49.09; P=.002]. The area under the curve for the model serum PCT≥0.8ng/ml plus CSF lactate ≥33mg/dl was 0.992 (95%CI: 0.979-1; P<.001), and achieved 99% sensitivity and 98% specificity for predicting bacterial meningitis. CONCLUSIONS: Serum PCT with CSF lactate, CSF glucose and CSF polymorphonuclears evaluated in an initial assessment in the ED for patients with AM, achieved an excellent diagnostic usefulness for predicting bacterial meningitis


Subject(s)
Humans , Meningitis/microbiology , Cerebrospinal Fluid/microbiology , Meningitis, Bacterial/epidemiology , Emergency Service, Hospital/statistics & numerical data , Biomarkers/analysis , Emergency Treatment/methods , Diagnosis, Differential , Communicable Diseases/microbiology , Prospective Studies , Lactic Acid/analysis
10.
Enferm Infecc Microbiol Clin ; 35(4): 220-228, 2017 Apr.
Article in English, Spanish | MEDLINE | ID: mdl-26994813

ABSTRACT

OBJETIVES: To analyse and compare predictive factors of bacterial meningitis in the patients seen in the Emergency Departments (ED) due to an episode of acute meningitis (AM). METHODS: A prospective, observational study was carried out in patients aged 15 years and older seen in ED due to AM between August 2009 and November 2015. Thirty-two variables for predicting bacterial meningitis were assessed. They covered epidemiological, comorbidity, clinical and analytical factors. Multivariate logistic regression analysis was performed. RESULTS: The study included 154 patients. The diagnosis was bacterial meningitis in 53 (34.4%) patients. Four variables were significantly associated with bacterial aetiology: cerebrospinal fluid (CSF) lactate concentration ≥33mg/dl (odds ratio [OR] 50.84; 95% confidence interval [CI]: 21.63-119.47, P<.001), serum procalcitonin (PCT) ≥0.8ng/ml (OR 46.34; 95%CI: 19.71-108.89; P<.001), CSF glucose <60% of blood value (OR 20.82; 95%CI: 8.86-48.96; P=.001), CSF polymorphonuclears greater than 50% (OR 20.19; 95%CI: 8.31-49.09; P=.002]. The area under the curve for the model serum PCT≥0.8ng/ml plus CSF lactate ≥33mg/dl was 0.992 (95%CI: 0.979-1; P<.001), and achieved 99% sensitivity and 98% specificity for predicting bacterial meningitis. CONCLUSIONS: Serum PCT with CSF lactate, CSF glucose and CSF polymorphonuclears evaluated in an initial assessment in the ED for patients with AM, achieved an excellent diagnostic usefulness for predicting bacterial meningitis.


Subject(s)
Meningitis, Bacterial/diagnosis , Acute Disease , Adult , Biomarkers/blood , Emergency Service, Hospital , Female , Humans , Male , Meningitis, Bacterial/blood , Meningitis, Bacterial/epidemiology , Middle Aged , Prospective Studies
12.
Enferm. infecc. microbiol. clín. (Ed. impr.) ; 34(1): 8-16, ene. 2016. tab, graf
Article in Spanish | IBECS | ID: ibc-148499

ABSTRACT

OBJETIVOS: Analizar y comparar la capacidad de la procalcitonina (PCT) y la proteína C reactiva (PCR) para detectar meningitis bacteriana (MB) en los ancianos (mayores de 74 años). MÉTODOS: Estudio observacional, prospectivo, descriptivo y analítico de pacientes ≥ 1 año diagnosticados de meningitis aguda (MA) en un servicio de urgencias (SU) desde septiembre de 2009 hasta julio de 2014. RESULTADOS: Se incluyeron 220 casos diagnosticados de MA con una edad media de 30 ± 26 años, el 62% varones (136). De ellos, 83 pacientes de 1-14 años (17 con MB), 111 pacientes de 15-74 años (32 con MB) y 26 casos ≥ 75 años (17 con MB). Para predecir MB la PCT obtiene la mayor área bajo la curva ROC (ABC-ROC), de 0,972 (IC 95%: 0,946-0,998, p < 0,001), y con un punto de corte ≥ 0,52 ng/ml se consigue una sensibilidad del 93% y una especificidad del 86%, y para los pacientes ≥ 75 años una sensibilidad del 96% y una especificidad del 75% con el mismo ABC-ROC de 0,972. La PCR consigue un ABC-ROC de 0,888 y con punto de corte ≥ 54,4 mg/l una sensibilidad de 91% y una especificidad de 78%, y para los pacientes ≥ 75 años solo un ABC-ROC de 0,514 con una sensibilidad de 97% y una especificidad del 43%. CONCLUSIONES: En todos los pacientes con MA en SU la PCT consigue un gran rendimiento diagnóstico para sospechar la etiología bacteriana, mayor que la PCR y leucocitos. Además, en los pacientes ancianos la PCR no tiene utilidad


OBJECTIVES: To analyse and compare procalcitonin (PCT) and C-reactive protein (CRP) as tools for detecting bacterial meningitis (BM) in the elderly (> 74 years of age). METHODS: A prospective, observational, descriptive, analytical study of 220 consecutive patients aged ≥ 1 year and diagnosed with acute meningitis in an emergency department between September 2009 and July 2014. RESULTS: A total of 220 patients (136 [62%] male) were studied. The mean age was 30 ± 26 years, with BM being diagnosed in 17/83 patients from 1 to 14 years of age, 32/111 from 15 to 74 years of age, and 17/26 patients ≥ 75 years of age. PCT had the highest area under the receiver operating characteristic curve (AUC) (0.972; 95% CI, 0.946-0,998; P < .001) to predict bacterial meningitis. With a cut-off of ≥ 0.52 ng/mL, PCT achieved 93% sensitivity and 86% specificity, and for patients over 75 years of age 96% sensitivity and 75% specificity, with the same AUC (0.972). The AUC for CRP was 0.888, and a ≥ 54,4 mg/L cut-off achieved 91% sensitivity and 78% specificity, and for patients over 75 years of age an AUC of only 0.514 achieved with 97% sensitivity and 43% specificity. CONCLUSIONS: For all patients with acute meningitis in the emergency department, PCT has a high diagnostic power, outperforming CRP and Leukocytes for detection of bacterial etiology, but CPR is of not useful in the elderly


Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Calcitonin/analysis , C-Reactive Protein/analysis , Meningitis, Bacterial/physiopathology , Biomarkers/analysis , Meningitis, Bacterial/diagnosis , Emergency Medical Services/statistics & numerical data , Prospective Studies , Reproducibility of Results , Reproducibility of Results
14.
Enferm Infecc Microbiol Clin ; 34(1): 8-16, 2016 Jan.
Article in Spanish | MEDLINE | ID: mdl-25842983

ABSTRACT

OBJETIVES: To analyse and compare procalcitonin (PCT) and C-reactive protein (CRP) as tools for detecting bacterial meningitis (BM) in the elderly (>74 years of age). METHODS: A prospective, observational, descriptive, analytical study of 220 consecutive patients aged ≥1year and diagnosed with acute meningitis in an emergency department between September 2009 and July 2014. RESULTS: A total of 220 patients (136 [62%] male) were studied. The mean age was 30±26years, with BM being diagnosed in 17/83 patients from 1 to 14years of age, 32/111 from 15 to 74years of age, and 17/26 patients ≥75years of age. PCT had the highest area under the receiver operating characteristic curve (AUC) (0.972; 95%CI, 0.946-0,998; P<.001) to predict bacterial meningitis. With a cut-off of ≥0.52ng/mL, PCT achieved 93% sensitivity and 86% specificity, and for patients over 75years of age 96% sensitivity and 75% specificity, with the same AUC (0.972). The AUC for CRP was 0.888, and a ≥54,4mg/L cut-off achieved 91% sensitivity and 78% specificity, and for patients over 75years of age an AUC of only 0.514 achieved with 97% sensitivity and 43% specificity. CONCLUSIONS: For all patients with acute meningitis in the emergency department, PCT has a high diagnostic power, outperforming CRP and Leukocytes for detection of bacterial etiology, but CPR is of not useful in the elderly.


Subject(s)
C-Reactive Protein/analysis , Calcitonin/blood , Meningitis, Bacterial/diagnosis , Adolescent , Adult , Age Factors , Aged , Child , Child, Preschool , Emergency Service, Hospital , Female , Humans , Infant , Male , Middle Aged , Prospective Studies , Sensitivity and Specificity , Young Adult
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