Assuming that pub_file is predictable and CI always follows AB:
# get line numbers where AB is start and CI is end line for the abstract
a = []
#with open("pub_file.txt", "r", encoding="utf-8") as f:
# next(f)
with open("pub_file.txt", "r") as f:
f = f.readlines()
start = 0
end = 0
for (line_number, text) in enumerate(f):
if text.startswith("AB"):
start = line_number + 1
a.append(start)
print("ab-->", start)
if text.startswith("CI"):
end = line_number + 1
print("ci-->", end)
a.append(end)
# write to file
out = open("OUTPUT.TXT", "w")
with open("pub_file.txt", "r") as f:
f = f.readlines()
for first, second in zip(a[0::2], a[1::2]):
print(first, second)
for i in f[first:second]:
print(i)
out.write(i)
OUTPUT.TXT file:
AB - OBJECTIVE: The clinical manifestations of COVID-19 run from asymptomatic disease to
severe acute respiratory syndrome. Older age and comorbidities are associated to
more severe disease. A role of obesity is suspected. METHODS: We enrolled patients
hospitalized in the medical COVID-19 ward with SARS-CoV-2 related pneumonia. Primary
outcome of the study was to assess the relationship between the severity of COVID-19
and obesity classes according to BMI. RESULTS: 92 patients (61.9% males; age
70.5±13.3 years) were enrolled. Patients with overweight and obesity were younger
than normal-weight patients (68.0±12.6 and 67.0±12.6 years vs. 76.1±13.0 years,
p<0.01). A higher need for assisted ventilation beyond pure oxygen support (Invasive
Mechanical Ventilation or Non-Invasive Ventilation) and a higher admission to
intensive or semi-intensive care units was observed in patients with overweight and
obesity (p<0.01 and p < 0.05, respectively) even after adjusting for sex, age and
comorbidities (p<0.05 and p<0.001, respectively), or when patients with dementia or
advanced cancer were removed from the analysis (p<0.05). CONCLUSION: Patients with
overweight and obesity admitted in a medical ward for SARS-CoV-2 related pneumonia,
despite their younger age, required more frequently assisted ventilation and access
to intensive or semi-intensive care units than normal weight patients.
AB - The Coronavirus Disease 2019 (COVID-19) pandemic of severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) infection is causing considerable morbidity and
mortality worldwide. Multiple reports have suggested that patients with heart
failure (HF) are at a higher risk of severe disease and mortality with COVID-19.
Moreover, evaluating and treating HF patients with comorbid COVID-19 represents a
formidable clinical challenge as symptoms of both conditions may overlap and they
may potentiate each other. Limited data exist regarding comprehensive management of
HF patients with concomitant COVID-19. Since these issues pose serious new
challenges for clinicians worldwide, HF specialists must develop a structured
approach to the care of patients with COVID-19 and be included early in the care of
these patients. Therefore, the Heart Failure Association of the European Society of
Cardiology and Chinese Heart Failure Association & National Heart Failure Committee
conducted web-based meetings to discuss these unique clinical challenges and reach a
consensus opinion to help providers worldwide deliver better patient care. The main
objective of this position paper is to outline the management of HF patients with
concomitant COVID-19 based on the available data and personal experiences of
physicians from Asia, Europe and United States. This article is protected by
copyright. All rights reserved.
AB - The coronavirus 2019 (COVID-19) pandemic has led to laws and policies including
national school closures, lockdown or shelter in place laws, and social distancing
recommendations that may translate to higher overall screen time among children and
adolescents for the duration of these laws and policies. These policies may need to
be periodically re-instated to control future COVID-19 recurrences or other national
emergencies. Excessive screen time is associated with cardiovascular disease risk
factors such as obesity, high blood pressure, and insulin resistance because it
increases sedentary time and is associated with snacking.
AB - Perhaps for the first time in history, a single statistical measure is now dictating
the entirety of UK government policy. The 'basic reproduction number', R0 value for
Covid-19 is more directly determining economic and social policy than has ever the
inflation rate, interest rate, or exchange rate. It is encouraging to see political
policy for once 'rational' but disappointing it took a pandemic to make it so.
However, is R0 an appropriate and significant measure? Like many
mathematics/statistical parameters, R0 is relatively easy to explain, more
complicated to understand (even graphically), and very difficult to calculate, or
use for modelling. Given its significance for all our lives, it is important to
understand a little of its background. This article seeks to explain the issues in a
non-technical way, relegating all equations (used sparingly) to appendices.
