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Abstract
Aim
Observational research suggests that periodontitis affects psoriasis. However, observational studies are prone to reverse causation and confounding, which hampers drawing causal conclusions and the effect direction. We applied the Mendelian randomization (MR) method to comprehensively assess the potential bi‐directional association between periodontitis and psoriasis.
Materials and Methods
We used genetic instruments from the largest available genome‐wide association study of European descent for periodontitis (17,353 cases, 28,210 controls) to investigate the relationship with psoriasis (13,229 cases, 21,543 controls), and vice versa. Causal Analysis Using Summary Effect (CAUSE) estimates and inverse variance‐weighted (IVW) MR analyses were used for the primary analysis. Robust MR approaches were used for sensitivity analyses.
Results
Both univariable methods, CAUSE and IVW MR analyses, did not reveal any impact of periodontitis on psoriasis (CAUSE odds ratio [OR] = 1.00, p = 1.00; IVW OR = 1.02, p = .6247), or vice versa (CAUSE OR = 1.01, p = .5135; IVW OR = 1.00, p = .7070). The null association was corroborated by pleiotropy‐robust methods with ORs close to 1 and p‐values >.59. Overall, MR analyses did not suggest any effect of periodontitis on psoriasis. Similarly, there was no evidence to support an effect of psoriasis on periodontitis.
Conclusions
Within the limitations of this MR study, the outcomes supported neither periodontitis affecting psoriasis nor psoriasis affecting periodontitis.
Background: For years, coagulase-negative staphylococci (CoNS) were not considered a cause of bloodstream infections (BSIs) and were often regarded as contamination. However, the association of CoNS with nosocomial infections is increasingly recognized. The identification of more than 40 different CoNS species has been driven by the introduction of matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. Yet, treatment guidelines consider CoNS as a whole group, despite increasing antibiotic resistance (ABR) in CoNS. This retrospective study provides an in-depth data analysis of CoNS isolates found in human blood culture isolates between 2013 and 2019 in the entire region of the Northern Netherlands. Methods: In total, 10,796 patients were included that were hospitalized in one of the 15 hospitals in the region, leading to 14,992 CoNS isolates for (ABR) data analysis. CoNS accounted for 27.6% of all available 71,632 blood culture isolates. EUCAST Expert rules were applied to correct for errors in antibiotic test results. Results: A total of 27 different CoNS species were found. Major differences were observed in occurrence and ABR profiles. The top five species covered 97.1% of all included isolates: S. epidermidis, S. hominis, S. capitis, S. haemolyticus, and S. warneri. Regarding ABR, methicillin resistance was most frequently detected in S. haemolyticus (72%), S. cohnii (65%), and S. epidermidis (62%). S. epidermidis and S. haemolyticus showed 50–80% resistance to teicoplanin and macrolides while resistance to these agents remained lower than 10% in most other CoNS species. Conclusion: These differences are often neglected in national guideline development, prompting a focus on ‘ABR-safe’ agents such as glycopeptides. In conclusion, this multi-year, full-region approach to extensively assess the trends in both the occurrence and phenotypic resistance of CoNS species could be used for evaluating treatment policies and understanding more about these important but still too often neglected pathogens.
Genetic risk factors play important roles in the etiology of oral, dental, and craniofacial diseases. Identifying the relevant risk loci and understanding their molecular biology could highlight new prevention and management avenues. Our current understanding of oral health genomics suggests that dental caries and periodontitis are polygenic diseases, and very large sample sizes and informative phenotypic measures are required to discover signals and adequately map associations across the human genome. In this article, we introduce the second wave of the Gene-Lifestyle Interactions and Dental Endpoints consortium (GLIDE2) and discuss relevant data analytics challenges, opportunities, and applications. In this phase, the consortium comprises a diverse, multiethnic sample of over 700,000 participants from 21 studies contributing clinical data on dental caries experience and periodontitis. We outline the methodological challenges of combining data from heterogeneous populations, as well as the data reduction problem in resolving detailed clinical examination records into tractable phenotypes, and describe a strategy that addresses this. Specifically, we propose a 3-tiered phenotyping approach aimed at leveraging both the large sample size in the consortium and the detailed clinical information available in some studies, wherein binary, severity-encompassing, and “precision,” data-driven clinical traits are employed. As an illustration of the use of data-driven traits across multiple cohorts, we present an application of dental caries experience data harmonization in 8 participating studies (N = 55,143) using previously developed permanent dentition tooth surface–level dental caries pattern traits. We demonstrate that these clinical patterns are transferable across multiple cohorts, have similar relative contributions within each study, and thus are prime targets for genetic interrogation in the expanded and diverse multiethnic sample of GLIDE2. We anticipate that results from GLIDE2 will decisively advance the knowledge base of mechanisms at play in oral, dental, and craniofacial health and disease and further catalyze international collaboration and data and resource sharing in genomics research.
Background: Many regions worldwide reported a decline of stroke admissions during the early phase of the coronavirus disease 2019 (COVID-19) pandemic. It remains unclear whether urban and rural regions experienced similar declines and whether deviations from historical admission numbers were more pronounced among specific age, stroke severity or treatment groups.
Methods: We used registry datasets from (a) nine acute stroke hospitals in Berlin, and (b) nine hospitals from a rural TeleNeurology network in Northeastern Germany for primary analysis of 3-week-rolling average of stroke/TIA admissions before and during the COVID-19 pandemic. We compared course of stroke admission numbers with regional cumulative severe acute respiratory syndrome coronavirus 2 (Sars-CoV-2) infections. In secondary analyses, we used emergency department logs of the Berlin Charité University hospital to investigate changes in age, stroke severity, and thrombolysis/thrombectomy frequencies during the early regional Sars-CoV-2 spread (March and April 2020) and compared them with preceding years.
Results: Compared to past years, stroke admissions decreased by 20% in urban and 20-25% in rural hospitals. Deviations from historical averages were observable starting in early March and peaked when numbers of regional Sars-CoV-2 infections were still low. At the same time, average admission stroke severity and proportions of moderate/severe strokes (NIHSS >5) were 20 and 20–40% higher, respectively. There were no relevant deviations observed in proportions of younger patients (<65 years), proportions of patients with thrombolysis, or number of thrombectomy procedures. Stroke admissions at Charité subsequently rebounded and reached near-normal levels after 4 weeks when the number of new Sars-CoV-2 infections started to decrease.
Conclusions: During the early pandemic, deviations of stroke-related admissions from historical averages were observed in both urban and rural regions of Northeastern Germany and appear to have been mainly driven by avoidance of admissions of mildly affected stroke patients.
Background:
Epileptic seizures can occur throughout the course of multiple sclerosis (MS) and are associated with increasing disability progression over time. However, there are no data on whether epileptic seizures at the onset of MS also lead to increasing disability.
Objective:
To examine disease progression over time for MS patients with epileptic seizures at onset.
Methods:
We analyzed the data of 30,713 patients on the German Multiple Sclerosis Register in a case–control study for more than 15 years. MS patients with seizures at onset were further divided into subgroups with polysymptomatic and monosymptomatic onset to assess the impact of additional symptoms on disease progression.
Results:
A total of 46 patients had seizures as onset symptoms. Expanded Disability Status Scale (EDSS) within the first year was lower in the group with seizures at onset compared to controls (0.75 versus 1.6, p < 0.05), which changed until the last reported visit (3.11 versus 3.0). Both subgroups revealed increased EDSS progression over time compared to controls.
Conclusion:
Epileptic seizures at MS onset are associated with a higher amount of disability progression over time. Additional longitudinal data are needed to further clarify the impact of seizures on the pathophysiology of MS disease progression.
Do We Need to Rethink the Epidemiology and Healthcare Utilization of Parkinson's Disease in Germany?
(2018)
Epidemiological aspects of Parkinson's disease (PD), co-occurring diseases and medical healthcare utilization of PD patients are still largely elusive. Based on claims data of 3.7 million statutory insurance members in Germany in 2015 the prevalence and incidence of PD was determined. PD cases had at least one main hospital discharge diagnosis of PD, or one physician diagnosis confirmed by a subsequent or independent diagnosis or by PD medication in 2015. Prevalence of (co-)occurring diseases, mortality, and healthcare measures in PD cases and matched controls were compared. In 2015, 21,714 prevalent PD cases (standardized prevalence: 511.4/100,000 persons) and 3,541 incident PD cases (standardized incidence: 84.1/100,000 persons) were identified. Prevalence of several (co-)occurring diseases/complications, e.g., dementia (PD/controls: 39/13%), depression (45/22%), bladder dysfunction (46/22%), and diabetes (35/31%), as well as mortality (10.7/5.8%) differed between PD cases and controls. The annual healthcare utilization was increased in PD cases compared to controls, e.g., regarding mean ± SD physician contacts (15.2 ± 7.6/12.2 ± 7.3), hospitalizations (1.3 ± 1.8/0.7 ± 1.4), drug prescriptions (overall: 37.7 ± 24.2/21.7 ± 19.6; anti-PD medication: 7.4 ± 7.4/0.1 ± 0.7), assistive/therapeutic devices (47/30%), and therapeutic remedies (57/16%). The standardized prevalence and incidence of PD in Germany as well as mortality in PD may be substantially higher than reported previously. While frequently diagnosed with co-occurring diseases/complications, such as dementia, depression, bladder dysfunction and diabetes, the degree of healthcare utilization shows large variability between PD patients. These findings encourage a rethinking of the epidemiology and healthcare utilization in PD, at least in Germany. Longitudinal studies of insurance claims data should further investigate the individual and epidemiological progression and healthcare demands in PD.
Aim
To investigate the medium-term associations of serum protein subfractions derived from proton nuclear magnetic resonance (1H-NMR) spectroscopy with periodontitis and tooth loss.
Materials and Methods
A total of 3031 participants of the cohort Study of Health in Pomerania (SHIP-TREND) were included. In addition to conventional serum testing, serum lipoprotein contents and subfractions were analysed by 1H-NMR spectroscopy. Confounder-adjusted associations of lipoprotein variables with periodontitis and the number of missing teeth variables were analysed using mixed-effects models with random intercepts for time across individuals, accounting for multiple testing.
Results
While only spurious associations between lipoprotein levels from conventional blood tests were found—that is, triglycerides were associated with mean clinical attachment level (CAL) and low-density lipoprotein cholesterol/high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio with the number of missing teeth - several associations emerged from serum lipoprotein subfractions derived from 1H-NMR analysis. Specifically, elevated LDL triglycerides were associated with higher levels of mean probing depth (PD), mean CALs, and increased odds of having <20 teeth. HDL-4 cholesterol levels were inversely associated with mean PD. Systemic inflammation (C-reactive protein) might mediate the effects of LDL and HDL triglyceride contents on periodontitis severity.
Conclusions
Several associations between serum lipoprotein subfractions and periodontitis were observed. As the underlying biochemical mechanisms remain unclear, further research is needed.
In der vorliegenden Arbeit wurden Zusammenhänge zwischen Sexualhormonen/SHBG und einem breiten Spektrum kardiovaskulärer Risikofaktoren, Krankheiten und Mortalität in einer gesunden weiblichen Allgemeinbevölkerung in Nordostdeutschland untersucht. Krankheiten des Herz-Kreislaufsystems sind die häufigste Todesursache bei Frauen weltweit. Risikofaktoren für kardiovaskuläre Krankheiten schließen den Typ 2 Diabetes mellitus, Übergewicht, Hypertonie und Fettstoffwechselstörungen ein. Das gemeinsame Auftreten von definierten, multiplen und metabolischen Veränderungen wird als das Metabolische Syndrom bezeichnet. Zusätzlich weisen subklinische Veränderungen des kardiovaskulären Systems auf ein erhöhtes Risiko für klinisch manifestierte, kardiovaskuläre Krankheiten hin. Es wurden Daten der populationsbasierten longitudinalen Study of Health in Pomerania herangezogen und rund 2000 Frauen im Alter zwischen 20 und 79 Jahren analysiert. Um die Assoziation zwischen Sexualhormonen und kardiovaskulären Risikofaktoren sowie Mortalität zu untersuchen, wurden verschiedene multivariable Regressionsmodelle verwendet. Die Ergebnisse zeigen, dass die untersuchten Sexualhormone/SHBG mit verschiedenen klinischen Korrelaten wie zum Beispiel BMI, Blutdruck oder Lipoproteinen in Beziehung stehen. Außerdem konnte nachgewiesen werden, dass SHBG, unabhängig von relevanten Kofaktoren, mit prävalentem und inzidentem Metabolischem Syndrom sowie prävalentem Typ 2 Diabetes mellitus assoziiert ist. Es wurde kein unabhängiger Zusammenhang zwischen Sexualhormonen/SHBG mit inzidenten subklinischen oder klinischen kardiovaskulären Krankheiten oder der Mortalität gefunden. Die meisten dargestellten Ergebnisse bestätigen frühere internationale Studien und erweitern sie um den Aspekt der großen weiblichen Studienstichprobe. Für die zukünftige Forschung wäre es von großem Interesse, das prädiktive Potential von SHBG als Biomarker des Metabolischen Syndroms in anderen populationsbasierten bzw. patientenbasierten Studien zu bestätigen, um somit neue Biomarker für kardiovaskuläre Krankheiten zu etablieren. Zusammenfassend bekräftigen die durchgeführten Analysen die Hypothese, dass zunehmende Androgenisierung der Frau mit einem erhöhten kardiovaskulären Risiko einhergeht.
Die vorliegende Untersuchung legt nahe, dass für den interindividuellen Vergleich der kardiopulmonalen Leistungsfähigkeit die Normalisierung der maximalen Sauerstoffaufnahme auf die Körperzellmasse anderen Normalisierungen vorzuziehen ist, weil die
Körperzellmasse die Summe aller aktiv am Stoffwechsel beteiligten Zellen definiert und daher ein körpermassenunabhängiges Maß darstellt. Nach unseren Analysen scheint die fettfreie Masse aufgrund der hohen Korrelation mit der maximalen Sauerstoffaufnahme bei gleichzeitig niedriger Regressionskonstante die zweitbeste Normalisierungsvariable
zu sein. Die Normalisierung der maximalen Sauerstoffaufnahme auf
das Gesamtkörpergewicht geht mit starken Limitationen einher und kann zu Fehleinschätzungen der kardiopulmonalen Leistungsfähigkeit führen, da verschiedene Körperbestandteile wie die Körperzellmasse, fettfreie Masse und Körperfett im Gesamtkörpergewicht nicht berücksichtigt werden. Insbesondere bei Adipösen kann die kardiopulmonale
Leistungsfähigkeit durch diese Normalisierung systematisch unterschätzt werden. Demnach können körpergewichtsbasierte Indizes, wie zum Beispiel der gebräuchliche BMI, für die Einschätzung der kardiopulmonalen Leistungsfähigkeit nur bedingt genutzt werden. Weiterhin erwiesen sich die Fettmasse und die Körperhöhe
als ungeeignete Normalisierungsvariablen für die kardiopulmonale Leistungsfähigkeit. Zusammenfassend sollte für den interindividuellen Vergleich der kardiopulmonalen Leistungsfähigkeit die Normalisierung der maximalen Sauerstoffaufnahme mit der Körperzellmasse
oder fettfreien Masse erfolgen, anstatt das Gesamtkörpergewicht zu nutzen.
Ein notwendiger nächster Schritt wäre die Untersuchung der klinisch prognostischen Wertigkeit von verschiedenen Normalisierungen in longitudinalen Studien mit klinischen Endpunkten.