BACKGROUND Mild cognitive impairment(MCI)in elderly individuals is a transitional stage between normal cognition and dementia.Understanding the risk factors for MCI and identifying those at high risk are extremely imp...BACKGROUND Mild cognitive impairment(MCI)in elderly individuals is a transitional stage between normal cognition and dementia.Understanding the risk factors for MCI and identifying those at high risk are extremely important for the elderly population.AIM To analyze the risk factors for MCI in the elderly population and construct a clinical prediction model.METHODS Total 295 elderly individuals presenting with memory loss diagnosed at Wuxi People's Hospital between March 2021 and March 2024 were included.Comprehensive demographic,clinical,and serological data were collected for analysis.Participants were categorized into either an MCI group or a normal group based on their performance on the Montreal Cognitive Assessment Scale.An elaborate clinical predictive model was developed to predict the likelihood of MCI in stroke patients;its accuracy was evaluated using area under curve values and calibration curves.RESULTS The results of the study showed that old age,hypertension,diabetes,hyperlipidemia,smoking,high-salt diet,high-cholesterol diet,decreased red blood count,increased neutrophil lymphocyte ratio and increased low-density lipoprotein cholesterol were risk factors for the onset of MCI,with A high vitamin diet and elevated high-density lipoprotein cholesterol being protective factors.In addition,the prediction model constructed in this study exhibits good degrees of differentiation and calibration.CONCLUSION The risk factors for MCI are diverse.Early identification of individuals at high risk of MCI can better intervene and improve their quality of life of MCI patients.展开更多
BACKGROUND Hypertension is a common chronic disease in the elderly population,and its association with cognitive impairment has been increasingly recognized.Cognitive impairment,including mild cognitive impairment and...BACKGROUND Hypertension is a common chronic disease in the elderly population,and its association with cognitive impairment has been increasingly recognized.Cognitive impairment,including mild cognitive impairment and dementia,can significantly affect the quality of life and independence of elderly individuals.Therefore,identifying risk factors for cognitive impairment in elderly hypertensive patients is crucial for developing effective interventions and improving health outcomes.Nutritional status is one of the potential factors that may influence cognitive function in elderly hypertensive patients.Malnutrition or inadequate nutrition can lead to various health problems,including weakened immune system,increased susceptibility to infections,and impaired physical and mental function.Furthermore,poor nutritional status has been linked to increased risk of cognitive decline and dementia in various populations.In this observational study,we aimed to investigate the nutritional status of elderly hypertensive patients and its relationship to the occurrence of cognitive impairment.By collecting baseline data on general information,body composition,and clinical indicators,we hope to identify risk factors for cognitive impairment in this patient population.The results of this study are expected to provide more scientific basis for the health management of elderly patients with hypertension,particularly in terms of maintaining good nutritional status and reducing the risk of cognitive impairment.AIM To explore the differences between clinical data and cognitive function of elderly hypertensive patients with different nutritional status,analyze the internal relationship between nutritional statuses and cognitive impairment,and build a nomogram model for predicting nutritional status in elderly hypertensive patients.METHODS The present study retrospectively analyzed 200 elderly patients admitted to our hospital for a hypertension during the period July 1,2024 to September 30,2024 as study subjects,and the 200 patients were divided into a modeling cohort(140 patients)and a validation cohort(60 patients)according to the ratio of 7:3.The modeling cohort were divided into a malnutrition group(26 cases),a malnutrition risk group(42 cases),and a normal nutritional status group(72 cases)according to the patients’Mini-Nutritional Assessment Scale(MNA)scores,and the modeling cohort was divided into a hypertension combined with cognitive impairment group(34 cases)and a hypertension cognitively normal group(106 cases)according to the Montreal Cognitive Assessment Scale(MoCA)scores,and the validation cohort was divided into a hypertension combined with cognitive impairment group(14 cases)and hypertension cognitively normal group(46 cases).The study outcome was the occurrence of cognitive impairment in elderly hypertensive patients.Univariate and multivariate logistic regression was used to explore the relationship between the general information of the elderly hypertensive patients and the influence indicators and the occurrence of cognitive impairment,the roadmap prediction model was established and validated,the patient work receiver operating characteristic curve was used to evaluate the predictive efficacy of the model,the calibration curve was used to assess the consistency between the predicted events and the actual events,and the decision curve analysis was used to evaluate the validity of the model.Pearson correlation analysis was used to explore the relationship between nutrition-related indicators and MoCA scores.RESULTS In this research,the modeling cohort comprised 140 cases,while the verification cohort consisted of 60 cases,with no notable discrepancy in the data between the two groups.In the modeling cohort,there were significant differences in body mass index(BMI),albumin(ALB),hemoglobin(Hb)and homocysteine levels among the malnourished group,the malnourished risk group and the normal nutritional status group.The results of univariate and multivariate analysis showed that BMI[odds ratio(OR)=0.830,P=0.014],ALB(OR=0.860,P=0.028),Hb(OR=0.939,P=0.035)and MNA score(OR=0.640,P=0.000)were independent protective factors for patients without cognitive impairment,and alkaline phosphatase(ALP)(OR=1.074,P=0.000)was an independent risk factor for patients with cognitive impairment.In this study,the prediction nomogram tailored for cognitive deterioration in elderly patients with hypertension demonstrated robust predictive power and a close correspondence between predicted and observed outcomes.This model offers significant potential as a means to forestall cognitive decline in hypertensive elderly patients.ALP was negatively correlated with MoCA score,while BMI,MNA score,Hb and ALB were positively correlated with MoCA score.CONCLUSION BMI,MNA score,Hb and ALB were independent protective factors for cognitive impairment in elderly hypertensive patients and were positively correlated with MoCA score.ALP was an independent risk factor for cognitive impairment in elderly hypertensive patients and was negatively correlated with the MoCA score.The column line graph model established in the study has a good predictive value.展开更多
BACKGROUND The role of comprehensive geriatric assessment(CGA)in screening for mild cognitive disorders was not known.AIM To evaluate the role of CGA in screening for mild cognitive disorders.METHODS A total of 100 el...BACKGROUND The role of comprehensive geriatric assessment(CGA)in screening for mild cognitive disorders was not known.AIM To evaluate the role of CGA in screening for mild cognitive disorders.METHODS A total of 100 elderly people who underwent health examinations in our hospital and community between January 2020 and December 2021 were included for analysis.Using Petersen as the diagnostic gold standard,healthy individuals were included in the control group and patients with mild cognitive impairment were assigned to the study group.The correlation between the cognitive function of the patients and their baseline clinical profiles was analyzed.Patients'Montreal Cognitive Assessment(MoCA)and CGA screening results were compared,and the sensitivity and specificity were calculated to assess the screening role of CGA.RESULTS CGA assessment yielded higher diagnostic accuracy than MoCA.The results of the multivariate regression analysis showed no correlation of gender,age,body mass index and literacy with cognitive function.Patients with mild cognitive impairment obtained significantly lower MoCA scores than healthy individuals(P<0.05).In the CGA scale,patients with mild cognitive impairment showed significantly lower Mini-mental State Examination,Miniature Nutritional Assessment and Berg Balance Scale scores,and higher Activity of Daily Living,Instrumental Activities of Daily Living Scale and Frailty Screening Inventory scores than healthy individuals(P<0.05),whereas the other assessment scales showed no significant differences(P>0.05).The CGA provides higher diagnostic sensitivity and specificity than the MoCA(P<0.05).CONCLUSION CGA allows accurate identification of mild cognitive impairment with high sensitivity and specificity,facilitating timely and effective intervention,and is thus recommended for clinical use.展开更多
基金Supported by The Commissioned Project of the 2023 Elderly Appropriate Technology Special Fund of Jiangsu Geriatric Society,No.JSLY202302The Scientific Research Project of Jiangsu Provincial Health Commission,No.BJ21008+1 种基金The 2023 Specialized Disease Queue Research Project of Wuxi Medical Center,Nanjing Medical University,No.WMCC202311Top Talent Support Program for Young and Middle-aged People of Wuxi Health Committee,No.HB2023003.
文摘BACKGROUND Mild cognitive impairment(MCI)in elderly individuals is a transitional stage between normal cognition and dementia.Understanding the risk factors for MCI and identifying those at high risk are extremely important for the elderly population.AIM To analyze the risk factors for MCI in the elderly population and construct a clinical prediction model.METHODS Total 295 elderly individuals presenting with memory loss diagnosed at Wuxi People's Hospital between March 2021 and March 2024 were included.Comprehensive demographic,clinical,and serological data were collected for analysis.Participants were categorized into either an MCI group or a normal group based on their performance on the Montreal Cognitive Assessment Scale.An elaborate clinical predictive model was developed to predict the likelihood of MCI in stroke patients;its accuracy was evaluated using area under curve values and calibration curves.RESULTS The results of the study showed that old age,hypertension,diabetes,hyperlipidemia,smoking,high-salt diet,high-cholesterol diet,decreased red blood count,increased neutrophil lymphocyte ratio and increased low-density lipoprotein cholesterol were risk factors for the onset of MCI,with A high vitamin diet and elevated high-density lipoprotein cholesterol being protective factors.In addition,the prediction model constructed in this study exhibits good degrees of differentiation and calibration.CONCLUSION The risk factors for MCI are diverse.Early identification of individuals at high risk of MCI can better intervene and improve their quality of life of MCI patients.
基金Supported by the Wuxi Science and Technology Plan Project Plan,No.BJ21008.
文摘BACKGROUND Hypertension is a common chronic disease in the elderly population,and its association with cognitive impairment has been increasingly recognized.Cognitive impairment,including mild cognitive impairment and dementia,can significantly affect the quality of life and independence of elderly individuals.Therefore,identifying risk factors for cognitive impairment in elderly hypertensive patients is crucial for developing effective interventions and improving health outcomes.Nutritional status is one of the potential factors that may influence cognitive function in elderly hypertensive patients.Malnutrition or inadequate nutrition can lead to various health problems,including weakened immune system,increased susceptibility to infections,and impaired physical and mental function.Furthermore,poor nutritional status has been linked to increased risk of cognitive decline and dementia in various populations.In this observational study,we aimed to investigate the nutritional status of elderly hypertensive patients and its relationship to the occurrence of cognitive impairment.By collecting baseline data on general information,body composition,and clinical indicators,we hope to identify risk factors for cognitive impairment in this patient population.The results of this study are expected to provide more scientific basis for the health management of elderly patients with hypertension,particularly in terms of maintaining good nutritional status and reducing the risk of cognitive impairment.AIM To explore the differences between clinical data and cognitive function of elderly hypertensive patients with different nutritional status,analyze the internal relationship between nutritional statuses and cognitive impairment,and build a nomogram model for predicting nutritional status in elderly hypertensive patients.METHODS The present study retrospectively analyzed 200 elderly patients admitted to our hospital for a hypertension during the period July 1,2024 to September 30,2024 as study subjects,and the 200 patients were divided into a modeling cohort(140 patients)and a validation cohort(60 patients)according to the ratio of 7:3.The modeling cohort were divided into a malnutrition group(26 cases),a malnutrition risk group(42 cases),and a normal nutritional status group(72 cases)according to the patients’Mini-Nutritional Assessment Scale(MNA)scores,and the modeling cohort was divided into a hypertension combined with cognitive impairment group(34 cases)and a hypertension cognitively normal group(106 cases)according to the Montreal Cognitive Assessment Scale(MoCA)scores,and the validation cohort was divided into a hypertension combined with cognitive impairment group(14 cases)and hypertension cognitively normal group(46 cases).The study outcome was the occurrence of cognitive impairment in elderly hypertensive patients.Univariate and multivariate logistic regression was used to explore the relationship between the general information of the elderly hypertensive patients and the influence indicators and the occurrence of cognitive impairment,the roadmap prediction model was established and validated,the patient work receiver operating characteristic curve was used to evaluate the predictive efficacy of the model,the calibration curve was used to assess the consistency between the predicted events and the actual events,and the decision curve analysis was used to evaluate the validity of the model.Pearson correlation analysis was used to explore the relationship between nutrition-related indicators and MoCA scores.RESULTS In this research,the modeling cohort comprised 140 cases,while the verification cohort consisted of 60 cases,with no notable discrepancy in the data between the two groups.In the modeling cohort,there were significant differences in body mass index(BMI),albumin(ALB),hemoglobin(Hb)and homocysteine levels among the malnourished group,the malnourished risk group and the normal nutritional status group.The results of univariate and multivariate analysis showed that BMI[odds ratio(OR)=0.830,P=0.014],ALB(OR=0.860,P=0.028),Hb(OR=0.939,P=0.035)and MNA score(OR=0.640,P=0.000)were independent protective factors for patients without cognitive impairment,and alkaline phosphatase(ALP)(OR=1.074,P=0.000)was an independent risk factor for patients with cognitive impairment.In this study,the prediction nomogram tailored for cognitive deterioration in elderly patients with hypertension demonstrated robust predictive power and a close correspondence between predicted and observed outcomes.This model offers significant potential as a means to forestall cognitive decline in hypertensive elderly patients.ALP was negatively correlated with MoCA score,while BMI,MNA score,Hb and ALB were positively correlated with MoCA score.CONCLUSION BMI,MNA score,Hb and ALB were independent protective factors for cognitive impairment in elderly hypertensive patients and were positively correlated with MoCA score.ALP was an independent risk factor for cognitive impairment in elderly hypertensive patients and was negatively correlated with the MoCA score.The column line graph model established in the study has a good predictive value.
基金Supported by Jiangsu Provincial Elderly Health Research Project,No.LR2021020,No,LD2021016Major Project of Wuxi Municipal Health Commission,No.Z202002Scientific Research Project of Jiangsu Provincial Health Commission,No.BJ21008.
文摘BACKGROUND The role of comprehensive geriatric assessment(CGA)in screening for mild cognitive disorders was not known.AIM To evaluate the role of CGA in screening for mild cognitive disorders.METHODS A total of 100 elderly people who underwent health examinations in our hospital and community between January 2020 and December 2021 were included for analysis.Using Petersen as the diagnostic gold standard,healthy individuals were included in the control group and patients with mild cognitive impairment were assigned to the study group.The correlation between the cognitive function of the patients and their baseline clinical profiles was analyzed.Patients'Montreal Cognitive Assessment(MoCA)and CGA screening results were compared,and the sensitivity and specificity were calculated to assess the screening role of CGA.RESULTS CGA assessment yielded higher diagnostic accuracy than MoCA.The results of the multivariate regression analysis showed no correlation of gender,age,body mass index and literacy with cognitive function.Patients with mild cognitive impairment obtained significantly lower MoCA scores than healthy individuals(P<0.05).In the CGA scale,patients with mild cognitive impairment showed significantly lower Mini-mental State Examination,Miniature Nutritional Assessment and Berg Balance Scale scores,and higher Activity of Daily Living,Instrumental Activities of Daily Living Scale and Frailty Screening Inventory scores than healthy individuals(P<0.05),whereas the other assessment scales showed no significant differences(P>0.05).The CGA provides higher diagnostic sensitivity and specificity than the MoCA(P<0.05).CONCLUSION CGA allows accurate identification of mild cognitive impairment with high sensitivity and specificity,facilitating timely and effective intervention,and is thus recommended for clinical use.
