| Literature DB >> 35602129 |
Shilu Yang1, Lijuan Zheng2, Yan Sun3, Zhuoyun Li4.
Abstract
Background: With the development of big data, big data interpenetrate in every person's life. Health care is no exception to this trend, especially in regard to nursing analytics. The data that is analyzed and leveraged in this field is gathered from a variety of sources, including electronic health records (EHRs), medical histories, provider notes and mobile applications, creating an accumulation of personalized health information around each individual. Objective: To explore the effect of the network-based positive psychological nursing model combined with elemene injection on negative emotions, immune function and quality of life (QOL) in patients with lung cancer (LC) undergoing chemotherapy.Entities:
Keywords: elemene injection; immune function; lung cancer chemotherapy; negative emotions; network; positive psychology; quality of life (QOL)
Mesh:
Substances:
Year: 2022 PMID: 35602129 PMCID: PMC9120652 DOI: 10.3389/fpubh.2022.897535
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Comparison of clinical data.
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| Gender | 0.047 | 0.829 | ||
| Male/Female | 28/17 | 27/18 | ||
| Average age (Mean ± SD, yrs) | 55.67 ± 4.65 | 55.24 ± 5.00 | 0.422 | 0.674 |
| BMI (Mean ± SD, kg/m2) | 20.64 ± 1.72 | 20.52 ± 1.56 | 0.347 | 0.730 |
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| The first time | 13 (28.89) | 14 (31.11) | 0.053 | 0.818 |
| The second time | 14 (31.11) | 15 (33.33) | 0.051 | 0.822 |
| The third time | 12 (26.67) | 11 (24.44) | 0.058 | 0.809 |
| Fourth or above | 6 (13.33) | 5 (11.11) | 0.104 | 0.748 |
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| Squamous cell carcinoma | 22 (48.89) | 21 (46.67) | 0.045 | 0.833 |
| Adenocarcinoma | 14 (31.11) | 17 (37.78) | 0.443 | 0.506 |
| Small cell carcinoma | 6 (13.33) | 5 (11.11) | 0.104 | 0.748 |
| Large cell carcinoma | 3 (6.67) | 2 (4.44) | 0.212 | 0.645 |
| Family income | 0.179 | 0.673 | ||
| >3,000 Yuan/(month·person) | 25 (55.56) | 23 (51.11) | ||
| ≤ 3,000 Yuan/ (month·person) | 20 (44.44) | 22 (48.89) | ||
| Residence [ | 0.403 | 0.525 | ||
| Urban area | 22 (48.89) | 19 (42.22) | ||
| Rural area | 23 (51.11) | 26 (57.78) | ||
| College degree and above | 4 (8.89) | 6 (13.33) | 0.450 | 0.502 |
| High school | 13 (28.89) | 15 (33.33) | 0.207 | 0.649 |
| Junior high school and below | 28 (62.22) | 24 (53.33) | 0.729 | 0.393 |
Comparison of immune function indexes [Mean ± SD].
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| EG | 45 | 8.96 ± 0.95 | 6.69 ± 0.58 | 4.56 ± 0.25 |
| CG | 45 | 6.02 ± 0.49 | 3.15 ± 0.51 | 1.32 ± 0.11 |
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| 18.450 | 30.747 | 79.576 | |
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| <0.001 | <0.001 | <0.001 |
Comparison of negative emotion scores [Mean ± SD].
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| EG | 45 | 15.33 ± 4.28 | 19.33 ± 5.96 |
| CG | 45 | 19.36 ± 5.27 | 23.82 ± 4.51 |
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| 3.982 | 4.030 | |
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| <0.05 | <0.05 |
Figure 1Comparison of serological indicators [Mean ± SD]. (A) Comparison of MMP-2 levels. The abscissa represented EG and CG, and the ordinate represented the MMP-2 level (ng/L). The MMP-2 levels of EG and CG were (55.61 ± 4.28) ng/L and (70.27 ± 4.06) ng/L, respectively. *Indicated an obvious difference in the MMP-2 levels between the two groups (t = 16.670, P < 0.001). (B) Comparison of VEGF levels. The abscissa represented EG and CG, and the ordinate represented the VEGF level (ng/L). The VEGF levels of EG and CG were (261.86 ± 13.29) ng/L and (330.83 ± 14.09) ng/L, respectively. **Indicated an obvious difference in the VEGF levels between the two groups (t = 23.887, P < 0.001).
Figure 2Comparison of PTGI scores [Mean ± SD]. The abscissa represented EG and CG, and the ordinate represented the PTGI score (points). The PTGI scores of EG and CG were (63.42 ± 4.78) and (56.18 ± 5.69), respectively. *indicated a notable difference in the PTGI scores between the two groups (t = 6.536, P < 0.001).
Comparison of QOL scores [Mean ± SD].
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| EG | 45 | 71.96 ± 3.75 | 75.44 ± 4.27 | 76.80 ± 4.64 | 77.60 ± 4.82 |
| CG | 45 | 67.91 ± 3.36 | 64.93 ± 3.14 | 67.82 ± 3.89 | 70.18 ± 4.74 |
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| 5.396 | 13.302 | 9.949 | 7.363 | |
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| <0.001 | <0.001 | <0.001 | <0.001 |