scholarly journals Letter to editor: is laboratory index really a practical and valid tool to predict mortality?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Merve Güner Oytun ◽  
Polat Ercan ◽  
Serdar Ceylan ◽  
Arzu Okyar Baş ◽  
Meltem Halil ◽  
...  
Keyword(s):  
Geriatric Patient ◽  
Clinical Status ◽  
Population Based ◽  
Question Mark ◽  
Frailty Status ◽  
Follow Up Study ◽  
Laboratory Results ◽  
Laboratory Index

AbstractWe carefully studied the article titled “A practical laboratory index to predict institutionalization and mortality – an 18-year population-based follow-up study” written by Heikkilä et al. and published in BMC Geriatrics on 25 February 2021 with great interest. We would like to make some comments regarding this article and tool. Laboratory Index (LI) has been executed with the data of 728 patients who had followed-up in our center, however the LI score was not able to predict the 10-year and 18-year mortality. Therefore, a question mark has been aroused in our minds at some points. Neither frailty nor comorbidities were considered in this index. For a geriatric patient, it would be inadequate to evaluate laboratory results regardless of the clinical status. Similarly, it would not be appropriate to predict mortality only on the basis of laboratory results without considering the clinical status of the patient.We think that although the recent study has a great impact, it can be improved by incorporating data on the comorbidities and frailty status of the patients into the analysis.

Migraine is related to an increased risk of Parkinson’s disease: A population-based, propensity score-matched, longitudinal follow-up study

Cephalalgia ◽  
2016 ◽  
Vol 36 (14) ◽  
pp. 1316-1323 ◽  
Author(s):  
Hsin-I Wang ◽  
Yu-Chun Ho ◽  
Ya-Ping Huang ◽  
Shin-Liang Pan
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Survival Rate ◽  
Propensity Score ◽  
Population Based ◽  
Free Survival ◽  
Follow Up Study ◽  
Increased Risk ◽  
Migraine Group

Background The association between migraine and Parkinson’s disease (PD) remains controversial. The purpose of the present population-based, propensity score-matched follow-up study was to investigate whether migraineurs are at a higher risk of developing PD. Methods A total of 41,019 subjects aged between 40 and 90 years with at least two ambulatory visits with a diagnosis of migraine in 2001 were enrolled in the migraine group. A logistic regression model that included age, sex, pre-existing comorbidities and socioeconomic status as covariates was used to compute the propensity score. The non-migraine group consisted of 41,019 propensity score-matched, randomly sampled subjects without migraine. The PD-free survival rate were estimated using the Kaplan–Meier method. Stratified Cox proportional hazard regression was used to estimate the effect of migraine on the risk of developing PD. Results During follow-up, 148 subjects in the migraine group and 101 in the non-migraine group developed PD. Compared to the non-migraine group, the hazard ratio of PD for the migraine group was 1.64 (95% confidence interval: 1.25–2.14, p = 0.0004). The PD-free survival rate for the migraine group was significantly lower than that for the non-migraine group ( p = 0.0041). Conclusions This study showed an increased risk of developing PD in patients with migraine.

Clinical implications of benign multiple sclerosis: A 20-year population-based follow-up study

2004 ◽  
Vol 56 (2) ◽  
pp. 303-306 ◽  
Author(s):  
Sean J. Pittock ◽  
Robyn L. McClelland ◽  
William T. Mayr ◽  
Neal W. Jorgensen ◽  
Brian G. Weinshenker ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Population Based ◽  
Clinical Implications ◽  
Follow Up Study ◽  
Benign Multiple Sclerosis

scholarly journals Pneumococcal Pneumonia and the Risk of Stroke: A Population-Based Follow-Up Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e51452 ◽  
Author(s):  
Li-Fu Chen ◽  
Hsin-Pai Chen ◽  
Yung-Sung Huang ◽  
Kuang-Yung Huang ◽  
Pesus Chou ◽  
...  
Keyword(s):  
Pneumococcal Pneumonia ◽  
Population Based ◽  
Follow Up Study

Epidemiology of Uveitis in Olmsted County, Minnesota: A Population-Based Follow-Up Study

2021 ◽  
pp. 1-7
Author(s):  
Timothy T. Xu ◽  
Margaret M. Reynolds ◽  
David O. Hodge ◽  
Wendy M. Smith
Keyword(s):  
Population Based ◽  
Olmsted County ◽  
Follow Up Study

scholarly journals Diagnostic stability in a Dutch psychosis incidence cohort

2004 ◽  
Vol 185 (6) ◽  
pp. 460-464 ◽  
Author(s):  
Natalie D. Veen ◽  
Jean-Paul Selten ◽  
Diede Schols ◽  
Winfried Laan ◽  
Hans W. Hoek ◽  
...  
Keyword(s):  
Psychotic Disorders ◽  
Population Based ◽  
Schizophrenic Disorder ◽  
Diagnostic Stability ◽  
Face To Face ◽  
Follow Up Study ◽  
Relative Risks ◽  
Diagnostic Interviews ◽  
The Uk

BackgroundNo study outside the UK has examined the diagnostic stability of psychotic disorders in a population-based sample.AimsTo determine diagnostic stability in a Dutch population-based psychosis incidence cohort, to examine the frequencies of diagnostic shifts to and from schizophrenic disorders and to report the revised relative risks of schizophrenic disorders for immigrants.MethodA 30-month follow-up study assessed the cohort (n=181) by means of face-to-face diagnostic interviews.ResultsDiagnostic stability of schizophrenic disorders was high (91%), but lower for other psychotic disorders. At follow-up, the initial diagnosis was adjusted to schizophrenic disorder more often than that the reverse occurred. Almost half (49%) of the patients who were not initially diagnosed as having a schizophrenic disorder received this diagnosis at follow-up. The relative risks for most immigrant groups were stable.ConclusionsSchizophrenic disorders are underdiagnosed, rather than overdiagnosed, at first presentation.

Evidence that better outcome of psychosis in women is reversed with increasing age of onset: A population-based 5-year follow-up study

2009 ◽  
Vol 113 (2-3) ◽  
pp. 226-232 ◽  
Author(s):  
Sebastian Köhler ◽  
Margriet van der Werf ◽  
Brian Hart ◽  
Gary Morrison ◽  
Robin McCreadie ◽  
...  
Keyword(s):  
Age Of Onset ◽  
Population Based ◽  
Follow Up Study
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