Ischaemic Pain and Cold-induced Pain Experiment
Results
Ice water seems to bring about 60% more pain than tourniquet. Placebo was quite effective against tourniquet (91.7%±4.33) and had no effect on ice water (100.7%±2.74) which appeared to be the second strongest drug. Paracetamol 1000mg combined with 8mg of codeine had negative effect on tourniquet (105.9%±7.91) as students sensed more pain after taking drugs, and slight effect on ice water (97.2%±3.17) which made it become the weakest drug. Paracetamol 1000mg reduced the pain for tourniquet significantly (88.6%±7.94) and also did well against ice water (95.2%±3.55). Paracetamol 1000mg acted as the best drug for both tourniquet and ice water treatment. These results are shown in Figures 1 and 2 ( see Appendices for raw data and summary data).
Figure 1. Effects of drugs on mean pain response sensed from tourniquet and ice water.
Mean pain units were measured for both tourniquet and ice water method for students. Students were then separated into groups A, B and C to take drug placebo, paracetamol 1000mg + Codeine 8mg and paracetamol 1000mg respectively. After 45 minutes the mean pain units were measured again for all of the students (± standard error, n=24).
Figure 2 Effects of drugs on mean % pain control response sensed from tourniquet and ice water.
Mean pain units were measured for both tourniquet and ice water method for students. Students were then separated into groups A, B and C to take drug placebo, paracetamol 1000mg + Codeine 8mg and paracetamol 1000mg respectively. After 45 minutes the mean pain units were measured again for all of the students . The pain levels after taking drugs were then divided by the pain units before taking drugs for each student to get the mean % control response (± standard error, n=24).
Discussion
- Paracetamol is able to inhibit the cyclooxygenase (COX) and it is highly selective for Cytochrome c oxidase subunit II( COX-2) (Burkhard Hinz2008). Inhibition of COX enzymes causes the concentration of prostaglandin E2 to decrease, as a result, the hypothalamic set-point is lowered to reduce fever and the descending inhibitory serotonergic pathways is activated to produce analgesia (Anderson BJ 2008). Codeine is a pretty weak opioid analgesic. It has to be converted into morphine to function, this can be activated by the CYP2D6 metabolic. Codeine can reduce the analgesic efficacy in as the way it slow down the metabolizer of the drug(C. Mattia 2015). The combination of Paracetamol 1000mg with codeine 8mg is found to be more effective and safer than just using paracetamol or codeine (Aust Dent 2002).
On the other hand, placebo would simply have no effect on pain level as it is just a sugar pill.
As morphine inhibits hot and cold pain by inhibiting HPC but increases the firing of the cold cells, this leads to the burning sensation (Mogil 1999). This directly causes the paracetamol + codeine combination did not act what we thought, the burning sensation reduced the effectiveness of pain relief. As a result, for the ice water test, paracetamol worked as the best treatment and placebo was the weakest treatment.
And for the tourniquet test which causes ischemic pain, muscle contraction increases hydrogen ions causes pH decreases and leads to acidosis, and infusion rate of acidic buffer increased and causes pain (Issberner 1996). However codeine and its product morphine are both hydrogen donors and would further increase the concentration of hydrogen inside muscle and causes more pain (Atkinson AP 2011). This explains why the paracetamol + codeine had negative effect on tourniquet test.
The experiment result did not match up with hypothesis as paracetamol with codeine is not the most effective drug for both ice water and tourniquet tests. There are some steps for this experiment that can be improved. First of all at the beginning of the experiment, students’ cells were ‘asleep’ and takes time to ‘wake up’ and sense the pain correctly. Especially for ice water, as human skin would always get covered by a layer of oil secreted by sebaceous glands and dirt from environment mixture, the first attempt in ice water would take time to wash the layer off the skin and causes less pain sensed, after taking drugs, students’ arm were no longer protected and therefore would sense a stronger pain level faster, also the amount of ice in the tank was different and might causes error for the result. For tourniquet, students might not squeeze the rubble bulb correctly and causes difference between two runs.
This experiment can be improved by getting a rubble bulb that squeeze itself automatically each time with same strength; maintain the ice water with same amount of ice and temperature; put arm into the ice water to wash off the layer and also ‘wake it up’ before attempt the experiment, after five minutes of recovery (let the arm to warm up and get dried) then start the experiment. This experiment result can be used in clinical treatment and develop pain-relief drugs.
In conclusion, the paracetamol 1000mg is the most effective drug to relieve both ischaemic pain and cold-induced pain.
Appendices
Table 1. Raw data collected and summary data for pain sensed before and after taking placebo.
The mean, median, standard deviation (stdev), standard error of the mean (SEM) and n values calculated for pain units and % of pain changed before and after taking placebo.Mean pain units were measured for both tourniquet and ice water method for students. Student took placebo and after 45 minutes the mean pain units were measured again for all of the students . The pain levels after taking drugs were then divided by the pain units before taking drugs for each student to get the mean % control response ( n=24).
Tourniquet 0 |
Tourniquet 45 |
Ice water 0 |
Ice water 45 |
Tourniquet % control |
Ice Water % Control |
|
380 |
390 |
625 |
640 |
102.6 |
102.4 |
|
335 |
260 |
610 |
670 |
77.6 |
109.8 |
|
332 |
150 |
655 |
627 |
45.2 |
95.7 |
|
400 |
250 |
375 |
350 |
62.5 |
93.3 |
|
401 |
295 |
564 |
592 |
73.6 |
105.0 |
|
275 |
200 |
563 |
570 |
72.7 |
101.2 |
|
320 |
255 |
675 |
575 |
79.7 |
85.2 |
|
265 |
305 |
265 |
300 |
115.1 |
113.2 |
|
191 |
200 |
577 |
482 |
104.7 |
83.5 |
|
447 |
397 |
672 |
660 |
88.8 |
98.2 |
|
169 |
190 |
668 |
646 |
112.4 |
96.7 |
|
245 |
295 |
580 |
535 |
120.4 |
92.2 |
|
280 |
300 |
485 |
390 |
107.1 |
80.4 |
|
475 |
430 |
675 |
605 |
90.5 |
89.6 |
|
270 |
285 |
550 |
620 |
105.6 |
112.7 |
|
390 |
300 |
575 |
585 |
76.9 |
101.7 |
|
380 |
388 |
663 |
675 |
102.1 |
101.8 |
|
275 |
310 |
445 |
500 |
112.7 |
112.4 |
|
225 |
150 |
385 |
570 |
66.7 |
148.1 |
|
543 |
580 |
140 |
145 |
106.8 |
103.6 |
|
400 |
425 |
575 |
525 |
106.3 |
91.3 |
|
325 |
400 |
700 |
700 |
123.1 |
100.0 |
|
161 |
138 |
291 |
277 |
85.7 |
95.2 |
|
395 |
243 |
680 |
697 |
61.5 |
102.5 |
|
n |
24 |
24 |
24 |
24 |
24 |
24 |
median |
328.5 |
295 |
576 |
580 |
96.3 |
100.6 |
mean |
328.29 |
297.33 |
541.38 |
539.00 |
91.7 |
100.7 |
stdev |
96.97 |
106.14 |
150.86 |
146.49 |
21.2 |
13.4 |
SEM |
19.79 |
21.67 |
30.79 |
29.90 |
4.33 |
2.74 |
Table 2. Raw data collected and summary data for pain sensed before and after taking paracetamol 1000mg + codeine 8mg.
The mean, median, standard deviation (stdev), standard error of the mean (SEM) and n values calculated for pain units and % of pain changed before and after taking placebo.Mean pain units were measured for both tourniquet and ice water method for students. Student took paracetamol 1000mg + codeine 8mgand after 45 minutes the mean pain units were measured again for all of the students . The pain levels after taking drugs were then divided by the pain units before taking drugs for each student to get the mean % control response ( n=24).
Tourniquet 0 |
Tourniquet 45 |
Ice water 0 |
Ice water 45 |
Tourniquet % control |
Ice Water % Control |
|
380 |
340 |
630 |
625 |
89.5 |
99.2 |
|
533 |
538 |
471 |
525 |
100.9 |
111.5 |
|
225 |
320 |
550 |
565 |
142.2 |
102.7 |
|
350 |
275 |
597 |
585 |
78.6 |
98.0 |
|
345 |
150 |
647 |
675 |
43.5 |
104.3 |
|
575 |
260 |
645 |
520 |
45.2 |
80.6 |
|
175 |
300 |
425 |
530 |
171.4 |
124.7 |
|
249 |
234 |
353 |
299 |
94.0 |
84.7 |
|
280 |
160 |
600 |
520 |
57.1 |
86.7 |
|
255 |
163 |
648 |
615 |
63.9 |
94.9 |
|
263 |
250 |
660 |
665 |
95.1 |
100.8 |
|
260 |
280 |
355 |
340 |
107.7 |
95.8 |
|
200 |
375 |
440 |
420 |
187.5 |
95.5 |
|
185 |
160 |
540 |
325 |
86.5 |
60.2 |
|
435 |
368 |
600 |
595 |
84.6 |
99.2 |
|
345 |
315 |
535 |
435 |
91.3 |
81.3 |
|
315 |
265 |
472 |
575 |
84.1 |
121.8 |
|
220 |
300 |
575 |
600 |
136.4 |
104.3 |
|
450 |
545 |
565 |
683 |
121.1 |
120.9 |
|
235 |
418 |
476 |
523 |
177.9 |
109.9 |
|
125 |
160 |
595 |
555 |
128.0 |
93.3 |
|
277 |
370 |
670 |
660 |
133.6 |
98.5 |
|
60 |
63 |
511 |
500 |
105.0 |
97.8 |
|
460 |
540 |
565 |
378 |
117.4 |
66.9 |
|
n |
24 |
24 |
24 |
24 |
24 |
24 |
median |
270 |
290 |
565 |
542.5 |
98.0 |
98.2 |
mean |
299.88 |
297.88 |
546.88 |
529.71 |
105.9 |
97.2 |
stdev |
125.33 |
127.25 |
92.13 |
112.04 |
38.8 |
15.5 |
SEM |
25.58 |
25.97 |
18.81 |
22.87 |
7.91 |
3.17 |
Table 3 Raw data collected and summary data for pain sensed before and after taking paracetamol 1000mg.
The mean, median, standard deviation (stdev), standard error of the mean (SEM) and n values calculated for pain units and % of pain changed before and after taking placebo.Mean pain units were measured for both tourniquet and ice water method for students. Student took paracetamol 1000mgand after 45 minutes the mean pain units were measured again for all of the students . The pain levels after taking drugs were then divided by the pain units before taking drugs for each student to get the mean % control response ( n=24).
Tourniquet 0 |
Tourniquet 45 |
Ice water 0 |
Ice water 45 |
Tourniquet % control |
Ice Water % Control |
|
460 |
480 |
390 |
370 |
104.3 |
94.9 |
|
584 |
400 |
980 |
674 |
68.5 |
68.8 |
|
250 |
350 |
550 |
625 |
140.0 |
113.6 |
|
210 |
225 |
585 |
610 |
107.1 |
104.3 |
|
300 |
175 |
590 |
555 |
58.3 |
94.1 |
|
455 |
415 |
530 |
600 |
91.2 |
113.2 |
|
165 |
100 |
460 |
390 |
60.6 |
84.8 |
|
280 |
80 |
600 |
400 |
28.6 |
66.7 |
|
257 |
195 |
640 |
645 |
75.9 |
100.8 |
|
195 |
185 |
555 |
550 |
94.9 |
99.1 |
|
242 |
200 |
560 |
612 |
82.6 |
109.3 |
|
270 |
260 |
405 |
250 |
96.3 |
61.7 |
|
330 |
310 |
605 |
635 |
93.9 |
105.0 |
|
295 |
240 |
445 |
375 |
81.4 |
84.3 |
|
313 |
253 |
695 |
655 |
80.8 |
94.2 |
|
61 |
85 |
380 |
290 |
139.3 |
76.3 |
|
205 |
330 |
525 |
570 |
161.0 |
108.6 |
|
165 |
50 |
325 |
435 |
30.3 |
133.8 |
|
180 |
260 |
675 |
550 |
144.4 |
81.5 |
|
230 |
125 |
585 |
615 |
54.3 |
105.1 |
|
373 |
363 |
585 |
443 |
97.3 |
75.7 |
|
170 |
250 |
650 |
625 |
147.1 |
96.2 |
|
275 |
25 |
270 |
300 |
9.1 |
111.1 |
|
528 |
415 |
585 |
595 |
78.6 |
101.7 |
|
n |
24 |
24 |
24 |
24 |
24 |
24 |
median |
263.5 |
245 |
572.5 |
562.5 |
86.9 |
97.6 |
mean |
283.04 |
240.46 |
548.75 |
515.38 |
88.6 |
95.2 |
stdev |
123.24 |
125.39 |
143.93 |
131.49 |
38.9 |
17.4 |
SEM |
25.16 |
25.60 |
29.38 |
26.84 |
7.94 |
3.55 |
References
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