Undetected hypertension in primary care – a public health iceberg?

Background

Hypertension is largely asymptomatic and contributes to considerable lifetime cardiovascular morbidity and mortality, costing the NHS £2.1 billion annually. The national prevalence of hypertension is 13.7 % and lack of a national screening programme, despite meeting aspects of the Wilson Junger criteria, adds to delays in detection and treatment. Earlier detection could mitigate future cardiovascular risk. We wanted to understand the potential of detection of prehypertension in primary care to see if this fits the Wilson and Junger criteria for a screening programme.

Methods

GP records of adult patients n = 2178 with a known diagnosis of hypertension on the hypertension register from a practice population of 10,000 patients (prevalence is 22%.) were analysed for the prevalence of prehypertension systolic 120-139 mm hg and diastolic bp of 80-89. The average length of prehypertension, the time delay in detection and treatment were assessed, alongside the prevalence of clinical and therapeutic inertia.

Results

A retrospective analysis of a sample size of 1809 patients out of 2178 patients (83.1%) with known hypertension across 3 primary care sites over 20 years was undertaken. Of these 1809 patients, we found that 1095 patients (60.5%) were prehypertensive prior to being diagnosed. The mean time interval between detection of prehypertension to a formal hypertension diagnosis was 10.6 years, with a standard deviation of 7.89 years with no variation with age or sex. However, 588 patients (32.5%) did not have readings within the prehypertensive ranges prior to diagnosis and were opportunistically detected. 51 patients (2.82%) never had readings recorded within the prehypertensive range.

Conclusions

Prehypertension predates hypertension by an average of 10.6 years. Offering annual screening nationally to patients of risk groups e.g., those with a family history, obesity, and alcohol excess, would enable earlier detection, treatment, and considerable cost saving.

Key messages

• Prehypertension predates hypertension; therefore, hypertension meets the Wilson Junger criteria for earlier detection by a screening programme, which is lacking in the UK.

• Offering a national scheme to screen for hypertension to those at a higher risk, can only be considered a benefit to the public and should be implemented.

1015 AN OBSERVATIONAL STUDY OF THE CORRELATION OF FRAILTY SEVERITY WITH MENTAL HEALTH

Introduction

The eFI (electronic Frailty Index) is used to assess the severity of frailty in elderly frail patients using a cumulative deficit model based on routine interactions with their GP. Frailty is associated with an increased risk of falls, reduced mobility, hospitalisations, disability and death.

Method

Patients were selected for annual frailty assessments by searching the electronic clinical system (SystmOne) using the eFI tool. Patients were assessed using the Comprehensive Geriatric Assessment (CGA) framework. In addition, all patients were screened for coexisting anxiety and depression using the Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Disorder (GAD-7) questionnaire.

Results

Of the 118 patients who ranged from mild to severe frailty, we found there was a positive correlation of the frailty severity eFI scores with increased rates of anxiety and depression evidenced by higher scores on the PHQ-9 and GAD-7 scoring tools. We found a positive correlation of the eFI with the PHQ-9 depression scores of (r = 0.819 p < 0.001). Within the same data set, we found correlation coefficients of eFI and anxiety GAD-7 scores (r = 0.651 p < 0.001). Increasing frailty was found to be associated with a higher rate of depression and anxiety.

Conclusion

We found in this study higher (eFI) electronic frailty indices are associated with worsening physical impairment and higher rates of anxiety and depression. We would recommend annual frailty assessments in patients with high electronic frailty indices and this should include screening for mental health deterioration. Early detection of deterioration will enable patient centered supportive measures and targeted treatment strategies. Health maintenance programs should ensure patient centered holistic assessment of both physical and mental health needs for early identification to avoid deterioration of both physical and mental health.

Hydrogen sulphide and nitric oxide mitigate the negative impacts of waterlogging stress on wheat (Triticum aestivum L.)

Nitric oxide (NO) and hydrogen sulphide (H₂ S) are important gaseous signalling molecules that regulate key physiochemical mechanisms of plants under environmental stresses. A number of attempts have been made to improve waterlogging tolerance in plants, but with limited success. Having said that, NO and H₂ S are vital signalling molecules, but their role in mitigating waterlogging effects on crop plants is not well established. We investigated the efficacy of exogenous NO and H₂ S to alleviate waterlogging effects in two wheat cultivars (Galaxy-2013 and FSD-2008). Waterlogging produced a noticeable reduction in plant growth, yield, chlorophyll, soluble sugars and free amino acids. Besides, waterlogging induced severe oxidative damage seen as higher cellular TBARS and H₂ O₂ content. Antioxidant enzyme activity increased together with a notable rise in Fe²⁺ and Mn²⁺ content. Proline content was higher in waterlogged plants compared with non-waterlogged plants. In contrast, waterlogging caused a substantial decline in endogenous levels of essential nutrients (K⁺ , Ca²⁺ and Mg²⁺ ). Waterlogged conditions led to Fe²⁺ and Mn²⁺ toxicity due to rapid reduction of Fe³⁺ and Mn³⁺ in the soil. Exogenous NO and H₂ S significantly protected plants from waterlogging effects by enhancing the oxidative defence and regulating nutritional status. Besides, the protective effects of exogenous NO were more prominent as compared with effects of H₂ S. Further, we did not study the effect of H₂ S and NO on photosynthetic attributes and expression of stress-related genes. Therefore, future studies should examine the effects of H₂ S and NO on wheat physiology and gene expression under waterlogging.

An observational study of the correlation of efi severity with depression

Introduction

Patients with high fraility indices experience poor mental health due to multiple co morbidity and social isolation.

Objectives

This was a retrospective observational analysis that studied the correlation of Electronic frailty indices and GAD scores with Depression scores in a rural population.

Methods

An annual frailty assessment is offered to elderly patients and we screen routinely for anxiety and depression using the PHQ-9 score and GAD score. This was an observational study examining the correlation of the Electronic Frailty Indices (EFI) depression and anxiety scores.

Results

Of the 118 patients ranging from mild to severe frailty we found a positive correlation of the EFI with the Depression and anxiety scores. Within the data set, the correlation coefficient of EFI scores and PHQ 9 scores was found to be 0.819. Similarly within the same data set we found a correlation coefficient of EFI and GDS scores of 0.651. The higher the EFI the greater was the scale of dependency and comorbidity and this correlation was consistent across the data set with depression and anxiety. We believe physical impairment, loss of independence and social isolation cognitive decline contribute to loss of self-esteem.

Conclusions

Our study found a positive correlation between frailty severity based on EFI scores and depression and anxiety severity. Early detection in deterioration of mental health will enable supportive measures and targeted treatment strategies. Our study shows the strong correlation of EFI severity scores with worse mental health.

Disclosure

No significant relationships.

Identification and Genomic Characterization of Parvovirus B19V Genotype 3 Viruses from Cases of Meningoencephalitis in West Bengal, India

Brain infections are a major public health problem in India and other parts of the world, causing both mortality and lifelong disability. Even after a thorough investigation, many cases remain without an etiological diagnosis. Primate erythroparvovirus 1 (B19V) has been identified as a pathogen associated with undiagnosed meningoencephalitis in other settings, including the United Kingdom, France, and Latvia. Here, we reported 13/403 (3.2%) B19V PCR positive cases of meningoencephalitis in West Bengal, India. The positive samples were mostly from children (10/13, 76.92%) and presented as a spectrum consisting of acute encephalitis (7/13), acute meningoencephalitis (3/13), and meningitis (3/13). Of the 13 cases, 8/13 (61.5%) had no known etiology and 5/13 (38.5%) had a previous etiological diagnosis. The cases did not cluster in time or by location, suggesting sporadic occurrence rather than outbreaks. We were able to retrieve the complete B19V genomes from cerebrospinal fluid (CSF) in 12/13 cases. The sequences clustered into genotype 3b with complete genomes from Brazil, Ghana, and France, and partial genomes from India and Kyrgyzstan. This is the first report of B19V in cases of neurological infections from India. It highlights the need to evaluate the causal relationship between B19V with meningoencephalitis in the country. These were also the first complete genomes of genotype 3b from CSF and will be critical in the evaluation of the relationship between genotypes and disease. IMPORTANCE Cases of meningoencephalitis with no known etiology remain a major challenge to clinical management of brain infections across the world. In this study, we detected and characterized the whole-genome of primate erythroparvovirus 1 (B19V) in cases of meningoencephalitis in India. Our work highlighted the association between B19V and brain infections which has been reported in other countries. Our work also emphasized the need to examine the role of B19V in meningoencephalitis, specifically whether it caused or contributed to the disease together with other pathogens in India. Our study provided the first 12 genomes of B19V from cerebrospinal fluid. These genomes will contribute to an understanding of how the virus is changing across different locations and over time.

Importation, circulation, and emergence of variants of SARS-CoV-2 in the South Indian state of Karnataka

Background: As the coronavirus disease 2019 (COVID-19) pandemic continues, the selection of genomic variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associated with higher transmission, more severe disease, re-infection, and immune escape are a cause for concern. Such variants have been reported from the UK (B.1.1.7), South Africa (B.1.351) and, Brazil (P.1/B.1.1.28). We performed this study to track the importation, spread, and emergence of variants locally. Methods: We sequenced whole genomes of SARS-CoV-2 from international travellers (n=75) entering Karnataka, South India, between Dec 22, 2020 and Jan 31, 2021, and from positive cases in the city of Bengaluru (n=108), between Nov 22, 2020- Jan 22, 2021, as well as a local outbreak. We present the lineage distribution and analysis of these sequences. Results: Genomes from the study group into 34 lineages. Variant B.1.1.7 was introduced by international travel (24/73, 32.9%). Lineage B.1.36 and B.1 formed a major fraction of both imported (B.1.36: 20/73, 27.4%; B.1: 14/73, 19.2%), and circulating viruses (B.1.36: 45/103; 43.7%,. B.1: 26/103; 25.2%). The lineage B.1.36 was also associated with a local outbreak. We detected nine amino acid changes, previously associated with immune escape, spread across multiple lineages. The N440K change was detected in 45/162 (27.7%) of the sequences, 37 of these were in the B.1.36 lineage (37/65, 56.92%) Conclusions: Our data support the idea that variants of concern spread by travel. Viruses with amino acid replacements associated with immune escape are already circulating. It is critical to check transmission and monitor changes in SARS-CoV-2 locally.

Importation, circulation, and emergence of variants of SARS-CoV-2 in the South Indian state of Karnataka

Background: As the coronavirus disease 2019 (COVID-19) pandemic continues, the selection of genomic variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associated with higher transmission, more severe disease, re-infection, and immune escape are a cause for concern. Such variants have been reported from the UK (B.1.1.7), South Africa (B.1.351) and, Brazil (P.1/B.1.1.28). We performed this study to track the importation, spread, and emergence of variants locally. Methods: We sequenced whole genomes of SARS-CoV-2 from international travellers (n=75) entering Karnataka, South India, between Dec 22, 2020 and Jan 31, 2021, and from positive cases in the city of Bengaluru (n=108), between Nov 22, 2020- Jan 22, 2021, as well as a local outbreak. We present the lineage distribution and analysis of these sequences. Results: Genomes from the study group into 34 lineages. Variant B.1.1.7 was introduced by international travel (24/73, 32.9%). Lineage B.1.36 and B.1 formed a major fraction of both imported (B.136: 20/73, 27.4%; B.1: 14/73, 19.2%), and circulating viruses (B.1.36: 45/103; 43.7%, B.1: 26/103; 25.2%). The lineage B.1.36 was also associated with a local outbreak. We detected nine amino acid changes, previously associated with immune escape, spread across multiple lineages. The N440K change was detected in 45/162 (27.7%) of the sequences. Conclusions: Our data support the idea that variants of concern spread by travel. Viruses with amino acid replacements associated with immune escape are already circulating. It is critical to check transmission and monitor changes in SARS-CoV-2 locally.

Genomic epidemiology reveals multiple introductions and spread of SARS-CoV-2 in the Indian state of Karnataka

Karnataka, a state in south India, reported its first case of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection on March 8, 2020, more than a month after the first case was reported in India. We used a combination of contact tracing and genomic epidemiology to trace the spread of SARS-CoV-2 in the state up until May 21, 2020 (1578 cases). We obtained 91 genomes of SARS-CoV-2 which clustered into seven lineages (Pangolin lineages-A, B, B.1, B.1.80, B.1.1, B.4, and B.6). The lineages in Karnataka were known to be circulating in China, Southeast Asia, Iran, Europe and other parts of India and are likely to have been imported into the state both by international and domestic travel. Our sequences grouped into 17 contact clusters and 24 cases with no known contacts. We found 14 of the 17 contact clusters had a single lineage of the virus, consistent with multiple introductions and most (12/17) were contained within a single district, reflecting local spread. In most of the 17 clusters, the index case (12/17) and spreaders (11/17) were symptomatic. Of the 91 sequences, 47 belonged to the B.6 lineage, including eleven of 24 cases with no known contact, indicating ongoing transmission of this lineage in the state. Genomic epidemiology of SARS-CoV-2 in Karnataka suggests multiple introductions of the virus followed by local transmission in parallel with ongoing viral evolution. This is the first study from India combining genomic data with epidemiological information emphasizing the need for an integrated approach to outbreak response.

Search for Axionlike Particles Produced in e^{+}e^{-} Collisions at Belle II

We present a search for the direct production of a light pseudoscalar a decaying into two photons with the Belle II detector at the SuperKEKB collider. We search for the process e^{+}e^{-}→γa, a→γγ in the mass range 0.2<m_{a}<9.7  GeV/c^{2} using data corresponding to an integrated luminosity of (445±3)  pb^{-1}. Light pseudoscalars interacting predominantly with standard model gauge bosons (so-called axionlike particles or ALPs) are frequently postulated in extensions of the standard model. We find no evidence for ALPs and set 95% confidence level upper limits on the coupling strength g_{aγγ} of ALPs to photons at the level of 10^{-3}  GeV^{-1}. The limits are the most restrictive to date for 0.2<m_{a}<1  GeV/c^{2}.

Search for an Invisibly Decaying Z^{'} Boson at Belle II in e^{+}e^{-}→μ^{+}μ^{-}(e^{±}μ^{∓}) Plus Missing Energy Final States

Theories beyond the standard model often predict the existence of an additional neutral boson, the Z^{'}. Using data collected by the Belle II experiment during 2018 at the SuperKEKB collider, we perform the first searches for the invisible decay of a Z^{'} in the process e^{+}e^{-}→μ^{+}μ^{-}Z^{'} and of a lepton-flavor-violating Z^{'} in e^{+}e^{-}→e^{±}μ^{∓}Z^{'}. We do not find any excess of events and set 90% credibility level upper limits on the cross sections of these processes. We translate the former, in the framework of an L_{μ}-L_{τ} theory, into upper limits on the Z^{'} coupling constant at the level of 5×10^{-2}-1 for M_{Z^{'}}≤6  GeV/c^{2}.

Effect of age and parity on primary caesarean section rates

OBJECTIVE

To study the effect of maternal age and parity on the rates of primary caesarean section.

METHOD

We reviewed all patients who delivered at the Princess Badeea Teaching Hospital between 1 January, 1995 and 26 November, 1995.

RESULTS

There were 8,732 deliveries included in this study. The primary caesarean section rates in primiparous women less than 25, 25 to 34 and over 34 years of age were 6.1%, 11.1% and 22.2%, respectively. A similarly dramatic rise with advancing maternal age was seen in multiparous women with rates of 3.1%, 6.4% and 9.5%, respectively, in the three age groups. A strong association between maternal age and primary caesarean section exists (p < 0.05). Caesarean section rates in the primiparous women were higher in all age groups when compared with multiparous women (p < 0.0001).

CONCLUSIONS

Increasing maternal age and parity are factors strongly associated with increased primary caesarean section rates.