In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - category of sentence 2, ..., n - category of sentence n; where each number indicates the order of the sentence. The categories can be identified using the following questions: 
 Background: - Why is this problem important? - What relevant works have been done before? - What did the previous works miss? - What are the high-level research questions? - How might this help other researchers?
 Purpose: - What specific things do the researchers want to do? - What specific knowledge do the researchers want to know? - What specific hypothesis do the researchers want to test?
 Method: - How did the researchers do it or find it out? - What are the procedures and steps of this research?
 Finding/Contribution: - What did the researchers find out? Did the proposed methods work? - Did things behave as the researchers expected?
Other: put every text fragment that does not fit into any of the categories above here. Put a sentence here if its not in English, is not part of the article, contains numbers and dates, is a caption of a figure or a table, is a formatting error, or you are not sure about it.

Acute respiratory distress syndrome (28.36%), acute cardiac injury (7.89%) and acute kidney 35 injury (7.60%) were the most common complications recorded. 36 37 Conclusions: Clinical and epidemiological characteristics of COVID-19 patients were mostly 38 heterogeneous and non-specific. This is the most comprehensive report of the characteristics of 39
1 - finding, 2 - finding, 3 - finding, 4 - finding

Objective: In cases of community acquired pneumonia (CAP), it has been known that blood cultures have low yields and rarely affect clinical outcomes. Despite many studies predicting the likelihood of bacteremia in CAP patients, those results have been rarely implemented in clinical practice, and use of blood culture in CAP is still increasing. This study evaluated impact of implementing a previously derived and validated bacteremia prediction rule. Methods: In this registry-based before and after study, we used piecewise regression analysis to compare the blood culture rate before and after implementation of the prediction rule. We also compared 30-day mortality, emergency department (ED) length of stay, time-interval to initial antibiotics after ED arrival, and any changes to the antibiotics regimen as results of the blood cultures. In subgroup analysis, we compared two groups (with or without the use of the prediction rule) after implementation period, using propensity score matching. Results: Following the implementation, the blood culture rate declined from 85.5% to 78.1% (P = 0.003) without significant changes in 30-day mortality and antibiotics regimen. The interval to initial antibiotics (231 min vs. 221 min, P = 0.362) and length of stay (1019 min vs. 954 min, P = 0.354) were not significantly changed. In subgroup analysis, the group that use the prediction rule showed 25 min faster antibiotics initiation (P = 0.002) and 48 min shorter length of stay (P = 0.007) than the group that did not use the rule. Conclusion: Implementation of the bacteremia prediction rule in CAP patients reduced the blood culture rate without affecting the 30-day mortality and antibiotics regimen.
1 - purpose, 2 - purpose, 3 - purpose, 4 - purpose, 5 - purpose, 6 - purpose, 7 - method, 8 - method, 9 - method, 10 - method, 11 - method, 12 - method, 13 - method, 14 - finding, 15 - finding, 16 - finding, 17 - finding, 18 - finding

Citation Stenglein MD, et al. 2012. Identification, characterization, and in vitro culture of highly divergent arenaviruses from boa constrictors and annulated tree boas: candidate etiological agents for snake inclusion body disease. mBio 3(4):e00180-12.

1 - finding, 2 - finding, 3 - other